Jobs in Saudi Arabia

About the Art Director Role

Jobgether is seeking an Art Director for a partner company. This full-time, remote-friendly position is based in Saudi Arabia and focuses on developing high-impact creative work for clients in the restaurant and retail sectors. The role requires a blend of conceptual thinking and hands-on design execution, managing projects from initial ideation through final delivery.

Core Responsibilities

The Art Director will be responsible for shaping and executing strong visual concepts that translate marketing strategies into compelling creative outputs across various channels. This includes developing creative concepts for branding, campaigns, social media, and multi-channel marketing initiatives. The role involves translating marketing strategies and audience insights into clear visual directions, sketches, and storyboards.

• Lead projects from concept development to final execution, ensuring creative quality and consistency.
• Present creative ideas and design directions to internal teams and clients, incorporating feedback effectively.
• Collaborate with designers, writers, and strategists to refine ideas and push creative boundaries.
• Maintain an understanding of cultural trends, advertising practices, and platform-specific creative requirements.
• Contribute to brainstorming sessions to elevate the team's overall creative output.

Required Qualifications and Experience

Candidates should possess 5-10 years of experience in advertising, creative agencies, or brand-focused design environments. A strong foundation in conceptual thinking and advanced visual design skills is essential, supported by a polished creative portfolio. Proficiency in the Adobe Creative Suite, including Photoshop, Illustrator, and InDesign, is required. Experience using AI tools to support creative workflows is also necessary.

• Demonstrated ability to manage time effectively, prioritize tasks, and deliver high-quality work under fast-paced conditions.
• Excellent communication and presentation skills, with the ability to articulate creative rationale clearly.
• A self-driven approach, comfortable working independently in a distributed, remote-friendly environment.
• Strong collaboration and brainstorming abilities within cross-functional teams.
• An excellent problem-solving mindset with a strong attention to detail and execution quality.

Work Environment and Collaboration

This is a distributed, remote-friendly role where creativity, autonomy, and cultural awareness are key to success. The position operates in a highly collaborative, feedback-driven environment. You will work closely with designers, writers, and strategists to develop and refine creative concepts.

About the Peer Reviewer Role

Fengkai Group Co., Limited is seeking experienced professionals to serve as Peer Reviewers for Food Science & Technology publications. This is a long-term, stable, part-time position that supports remote work. The role is based in Saudi Arabia and requires a commitment of 5-10 years of relevant experience.

Core Responsibilities

As a Peer Reviewer, your primary responsibility is to critically evaluate submitted manuscripts to ensure the quality, originality, and scientific rigor of published research. This involves a thorough assessment of various aspects of the manuscript to provide constructive feedback to authors and editors.

• Evaluate the novelty and originality of the research, determining its contribution to the field of Food Science & Technology.
• Assess the appropriateness, comprehensiveness, and clarity of the study design and methodologies employed.
• Ensure the manuscript adequately incorporates and cites relevant and up-to-date literature.
• Analyze the presentation of results and the validity of conclusions drawn from the data.
• Provide clear, concise, and constructive feedback to authors, highlighting strengths, weaknesses, and potential ethical concerns.
• Make a recommendation regarding the publication status of the manuscript (accept, revise, or reject) to the journal editor.

Required Qualifications and Experience

Candidates for this role must possess a strong academic background and a proven track record in research and publication. The position requires a deep understanding of scientific principles and ethical standards within the field.

• A Doctorate (PhD) or equivalent advanced degree in Food Science & Technology or a closely related discipline.
• A minimum of 5-10 years of professional experience in the field.
• A publication record of at least 5 papers in SCI/SSCI journals within the past three years.
• Thorough understanding of research methodologies and ethical principles relevant to the discipline.
• Prior experience as a peer reviewer for academic journals is highly desirable.
• Familiarity with online manuscript submission and review systems.

Essential Skills and Attributes

Successful candidates will demonstrate strong analytical capabilities and a commitment to maintaining the integrity of the peer review process.

• Excellent analytical and critical thinking skills.
• Strong written communication skills, enabling the provision of clear, concise, and constructive feedback.
• Ability to adhere to deadlines and manage time effectively.
• Commitment to maintaining confidentiality and objectivity throughout the review process.

Work Arrangement

This is a part-time, remote position, offering flexibility for qualified individuals. The role is structured for long-term engagement, providing a stable opportunity for experienced professionals in the field.

About the Role

Miraval Resorts & Spas is seeking a knowledgeable and proactive Cluster IT Coordinator to support technology operations across multiple properties in Saudi Arabia. This full-time role ensures the consistent, efficient, and secure digital operation of world-class resorts.

Role Overview

The Cluster IT Coordinator is responsible for maintaining seamless IT operations across Miraval The Red Sea and Grand Hyatt The Red Sea. This involves system administration, technical support, IT project assistance, and adherence to cybersecurity protocols. The role requires collaboration with internal departments and vendors to ensure operational excellence, user support, IT inventory management, and assistance with audits and compliance.

Key Responsibilities

• Provide technical support and troubleshooting for on-site and remote issues across the hotel cluster.
• Administer and maintain systems, servers, and network devices in line with brand standards.
• Support the implementation of IT projects and system upgrades.
• Coordinate with external vendors for maintenance, installations, and issue resolution.
• Ensure consistent application of IT policies, procedures, and cybersecurity protocols.
• Conduct staff training on IT tools, systems, and security best practices.
• Manage IT asset inventory, including procurement, allocation, and disposal tracking.
• Assist with data backups, recovery processes, and system monitoring.
• Prepare IT reports and support internal/external audits for both properties.
• Maintain documentation for infrastructure, configurations, and issue resolution.

Qualifications and Experience

• Diploma or Bachelor's degree in Information Technology, Computer Science, or a related field.
• Minimum of 2–3 years of IT experience, preferably in a hotel or hospitality setting.
• Strong knowledge of network systems, Microsoft environments, server maintenance, and cybersecurity.
• Experience supporting multiple properties or departments is advantageous.
• Familiarity with hospitality-specific systems such as PMS, POS, and back-office platforms.

Required Skills and Attributes

• Excellent troubleshooting skills and the ability to manage priorities across multiple locations.
• Strong interpersonal and communication skills in English and Arabic.
• Saudi National is preferred.

About the Role

Fengkai Group Co., Limited is seeking a part-time PHD Peer Reviewer to join their team. This is a long-term, stable, and remote position. The role involves evaluating academic manuscripts to ensure their quality and contribution to the field.

Core Responsibilities

• Assess Novelty: Evaluate whether the manuscript presents original research that adds new knowledge or insights to the field of study.
• Evaluate Study Design and Methodology: Review the appropriateness, comprehensiveness, and clarity of the study design and methods to ensure reproducibility.
• Literature Review: Ensure the manuscript thoroughly incorporates and cites relevant, up-to-date research within the field.
• Analyze Results and Conclusions: Determine if results are presented clearly and appropriately, and if conclusions are supported by the data and are significant to the field.
• Provide Constructive Feedback: Offer suggestions for improvement and highlight any identified flaws, omissions, or ethical concerns.
• Recommend Publication Status: Provide an evaluation that informs the editor's decision on manuscript acceptance, revision, or rejection.

Required Qualifications

• A Doctorate (PhD) or equivalent advanced degree in the relevant subject area.
• A record of publishing at least 5 papers in SCI/SSCI journals within the past three years.
• Thorough understanding of research methodologies and ethical principles within the relevant discipline.
• Prior experience as a peer reviewer for academic journals is highly desirable.
• Familiarity with online manuscript submission and review systems.

Essential Skills and Attributes

• Excellent analytical and critical thinking skills.
• Strong written communication skills, with the ability to provide clear, concise, and constructive feedback.
• Ability to adhere to deadlines and manage time effectively.
• Commitment to maintaining confidentiality and objectivity.

Work Arrangement

This is a part-time, remote position, offering flexibility for qualified candidates. The role is structured as a long-term, stable opportunity.

About the Role

Fengkai Group Co., Limited is seeking a qualified individual for a part-time, long-term remote position as a Peer Reviewer specializing in Quantum Information. This role requires a strong academic background and a commitment to upholding the integrity of academic publishing.

Role Overview and Responsibilities

The primary responsibility of this role is to conduct thorough peer reviews of manuscripts submitted for publication. This involves critically evaluating research to ensure its quality, originality, and contribution to the field of Quantum Information. The reviewer will provide constructive feedback to authors and editors, contributing to the publication decision-making process.

• Assess the novelty and originality of submitted manuscripts.
• Evaluate the appropriateness, comprehensiveness, and clarity of study designs and methodologies.
• Ensure thorough incorporation and citation of relevant, up-to-date literature.
• Analyze the clarity and appropriateness of results presentation and the significance of conclusions drawn from the data.
• Provide clear, concise, and constructive feedback to authors and editors, highlighting any flaws, omissions, or ethical concerns.
• Make recommendations regarding manuscript acceptance, revision, or rejection based on the evaluation.

Qualifications and Experience

Candidates must possess a strong academic foundation in Quantum Information or a related field. The role is suitable for individuals with a demonstrated history of scholarly contribution and a keen eye for detail in academic work.

• Doctorate (PhD) or equivalent advanced degree in the relevant subject area.
• A minimum of 5-10 years of experience in the field.
• Publication of at least 5 papers in SCI/SSCI journals within the past three years.
• Prior experience as a peer reviewer for academic journals is highly desirable.

Required Skills and Attributes

Successful candidates will demonstrate a high level of analytical capability and a commitment to academic integrity. Effective communication and time management are essential for this role.

• Thorough understanding of research methodologies and ethical principles in Quantum Information.
• Excellent analytical and critical thinking skills.
• Strong written communication skills, with the ability to provide clear and constructive feedback.
• Ability to adhere to deadlines and manage time effectively.
• Commitment to maintaining confidentiality and objectivity.
• Familiarity with online manuscript submission and review systems.

Work Arrangement

This is a part-time position that supports remote work, offering flexibility for qualified individuals. The role is structured as a long-term, stable opportunity.

Application Instructions

Interested candidates are requested to carefully review the recruitment requirements and accurately complete the application form. Thank you for your interest.

About the Peer Review Opportunity

Fengkai Group Co., Limited is seeking qualified individuals for a part-time, long-term peer review role in Applied Mathematics. This position supports remote work and requires a commitment to providing thorough and objective evaluations of academic manuscripts. Applicants are requested to carefully review the requirements and complete the application process accurately.

Role Overview and Responsibilities

The primary responsibility of this role is to conduct comprehensive peer reviews of submitted manuscripts in Applied Mathematics. This involves critically assessing the originality, methodology, and contribution of research to the field. The reviewer will provide detailed feedback to assist editors in making publication decisions.

• Evaluate the novelty and originality of the manuscript, determining its contribution to the field.
• Assess the appropriateness, comprehensiveness, and clarity of the study design and methodologies to ensure reproducibility.
• Verify that the manuscript adequately incorporates and cites relevant and current research.
• Analyze the presentation of results and conclusions, ensuring they are clearly supported by the data and are significant to the field.
• Provide constructive feedback, highlighting any identified flaws, omissions, or ethical concerns.
• Offer a recommendation regarding the manuscript's suitability for publication, revision, or rejection.

Required Qualifications and Experience

Candidates must possess a strong academic background and a proven track record in research and publication. The following qualifications are essential for this role:

• A Doctorate (PhD) or equivalent advanced degree in Applied Mathematics.
• A minimum of 5-10 years of relevant experience.
• At least five (5) papers published in SCI/SSCI journals within the past three years.
• A thorough understanding of research methodologies and ethical principles within the discipline.
• Prior experience as a peer reviewer for academic journals is highly desirable.

Essential Skills and Attributes

Successful candidates will demonstrate a high level of analytical capability and professional conduct.

• Excellent analytical and critical thinking skills.
• Strong written communication skills, enabling clear, concise, and constructive feedback.
• Ability to adhere to deadlines and manage time effectively.
• Commitment to maintaining confidentiality and objectivity throughout the review process.
• Familiarity with online manuscript submission and review systems.

Work Arrangement and Location

This is a part-time, remote position. The role is based in Saudi Arabia, with the flexibility of working from any location. The opportunity is structured as a long-term, stable engagement.

About the Role

YO IT Consulting is seeking a Data Scientist Quality Assurance Lead for a contract, hourly role. This position focuses on overseeing quality, consistency, and trainer performance within data science AI training projects. The role is with a rapidly growing AI Data Services company that provides training data for major AI companies and foundation-model labs. Your expertise in data science quality will be crucial in ensuring that training data is analytically sound, reproducible, clearly documented, and aligned with client expectations.

Role Overview and Responsibilities

In this remote contractor position, you will be responsible for a range of quality assurance tasks related to data science AI training content. This includes:

• Reviewing AI-generated data science content and the work of trainers and QA personnel.
• Evaluating output quality against established project guidelines and rubrics.
• Providing precise, written feedback to contributors.
• Ensuring all contributors adhere to expected quality standards.
• Assessing work for statistical accuracy, data reasoning, model selection quality, code correctness, reproducibility, metric interpretation, business context awareness, clarity, formatting, instruction adherence, and alignment with project-specific rubrics.
• Identifying recurring quality issues and communicating updates to trainers and QAs.
• Supporting the onboarding process for new contributors.
• Maintaining relevant documentation.
• Assisting in activating contributors who are not working consistently.
• Performing technical reviews of AI-generated data science explanations, code snippets (Python/R/SQL), modeling workflows, statistical interpretations, dashboards, experiment designs, and step-by-step reasoning.
• Handling questions related to statistical assumptions, metrics, model selection, data leakage, validation, coding choices, reproducibility, and rubric interpretation.
• Managing trainer/QA activation by encouraging engagement, tracking follow-ups, and flagging availability issues.
• Reviewing data science outputs for potential risks such as misleading or statistically invalid conclusions.
• Contributing to process improvement by identifying quality gaps and helping to build scalable QA processes.

Qualifications and Experience

Candidates for this role should possess the following qualifications:

• A Bachelor’s, Master’s, or PhD degree in Data Science, Statistics, Computer Science, Machine Learning, Mathematics, Economics, Engineering, or a closely related quantitative field.
• A minimum of 2-5 years of professional experience in data science, analytics, machine learning, statistical modeling, experimentation, data engineering, technical review, or data science education.
• A strong understanding of statistics, probability, data cleaning, exploratory data analysis, feature engineering, supervised/unsupervised learning, model evaluation, experimentation, regression, classification, clustering, and validation methods.
• The ability to evaluate data science content against detailed rubrics and identify issues such as data leakage, flawed assumptions, incorrect metrics, weak methodology, non-reproducible code, or misleading conclusions.
• Proficiency in English, enabling clear communication and the ability to provide detailed technical feedback.
• Experience leading or supporting remote teams of trainers, annotators, analysts, data scientists, engineers, educators, or QAs is strongly preferred.
• Experience with AI training, data annotation, LLM evaluation, data science QA, or rubric-based technical review is a strong plus.

Technical Skills and Tools

Familiarity with the following tools and platforms is preferred:

• Programming languages and libraries such as Python (pandas, NumPy, scikit-learn), R, and SQL.
• Development environments and tools including Jupyter, Git, and MLflow.
• Data visualization tools like matplotlib and dashboarding platforms.
• Big data technologies such as Spark.
• Cloud platforms and general data platforms.
• Collaboration and project management tools including Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.

Work Arrangement and Application Process

This is a remote, contract-based hourly position. The selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. While there is no immediate project assignment for this role, qualified candidates will be prioritized for future relevant opportunities and gain access to YO IT Consulting's expert network.

About the Peer Reviewer Role

Fengkai Group Co., Limited is seeking qualified individuals for a long-term, stable part-time role as a Peer Reviewer. This position supports remote work and requires a strong academic background and experience in scholarly review processes. Candidates will contribute to the integrity and quality of academic publications within their field.

Role Overview and Responsibilities

As a Peer Reviewer, your primary responsibility will be to critically evaluate submitted manuscripts to ensure their scientific rigor, originality, and adherence to academic standards. This involves a thorough assessment of the research presented and providing constructive feedback to authors and editors. The role is crucial in maintaining the quality of published research.

• Assess Novelty: Evaluate the originality of the manuscript and its contribution to the field.
• Evaluate Study Design and Methodology: Review the appropriateness, comprehensiveness, and clarity of the research methods to ensure reproducibility.
• Literature Review: Ensure the manuscript adequately incorporates and cites relevant, up-to-date research.
• Analyse Results and Conclusions: Determine if results are presented clearly and if conclusions are supported by the data and are significant to the field.
• Provide Constructive Feedback: Offer suggestions for improvement and identify any flaws, omissions, or ethical concerns.
• Recommend Publication Status: Provide an informed recommendation to the journal editor regarding manuscript acceptance, revision, or rejection.

Required Qualifications and Experience

To be considered for this role, candidates must meet the following academic and professional criteria:

• Possess a Doctorate PhD or equivalent advanced degree in the relevant subject area.
• Have published at least 5 papers in SCI / SSCI journals within the past three years.
• Demonstrate a thorough understanding of research methodologies and ethical principles within the relevant discipline.
• Possess 5-10 years of experience in a relevant academic or research capacity.
• Prior experience as a peer reviewer for academic journals is highly desirable.
• Familiarity with online manuscript submission and review systems is beneficial.

Essential Skills and Attributes

Successful candidates will exhibit a strong set of analytical and communication skills:

• Excellent analytical and critical thinking skills.
• Strong written communication skills, with the ability to provide clear, concise, and constructive feedback.
• Ability to adhere to deadlines and manage time effectively.
• Commitment to maintaining confidentiality and objectivity throughout the review process.

Work Arrangement and Location

This is a part-time position, offering the flexibility of remote work. The role is based in Saudi Arabia. The long-term nature of this engagement provides stability for qualified reviewers.

About the Role

Fengkai Group Co., Limited is seeking a qualified individual for a part-time, long-term peer review position in Geology, based in Saudi Arabia. This role supports remote work and requires a commitment to providing thorough and objective evaluations of academic manuscripts.

Role Overview

The primary function of this role is to conduct peer reviews for academic journals. This involves critically assessing submitted manuscripts to ensure their scientific rigor, originality, and adherence to ethical standards. The feedback provided will assist editors in making publication decisions.

Key Responsibilities

• Evaluate the originality and novelty of submitted manuscripts, assessing their contribution to the field of Geology.
• Critically examine the study design and methodology to ensure appropriateness, comprehensiveness, and clarity for reproducibility.
• Verify that the manuscript adequately incorporates and cites relevant and current research within the field.
• Analyze the presentation of results and conclusions, ensuring they are clearly supported by the data and are significant to the discipline.
• Provide clear, concise, and constructive feedback to authors and editors, highlighting any strengths, weaknesses, omissions, or ethical concerns.
• Make recommendations regarding the publication status of the manuscript (*, accept, revise, reject) based on the evaluation.

Qualifications and Experience

• A Doctorate (PhD) or equivalent advanced degree in Geology.
• A record of publishing at least 5 papers in SCI/SSCI journals within the past three years.
• 5-10 years of relevant experience.
• Prior experience as a peer reviewer for academic journals is highly desirable.

Required Skills and Attributes

• A thorough understanding of research methodologies and ethical principles in Geology.
• Excellent analytical and critical thinking abilities.
• Strong written communication skills, capable of delivering clear and constructive feedback.
• Ability to manage time effectively and adhere to deadlines.
• A commitment to maintaining objectivity and confidentiality.
• Familiarity with online manuscript submission and review systems is beneficial.

Work Arrangement

This is a part-time, long-term position that offers the flexibility of remote work. Applicants are expected to accurately complete the application form, providing all necessary details regarding their qualifications and experience.

About the Peer Reviewer Role

Fengkai Group Co., Limited is seeking qualified individuals to serve as Peer Reviewers for Applied Physics publications. This is a long-term, stable part-time position that supports remote work. Applicants are requested to carefully review the requirements and complete the application process accurately.

Role Overview and Responsibilities

As a Peer Reviewer, your primary responsibility is to critically evaluate submitted manuscripts to ensure the quality, originality, and scientific rigor of research in Applied Physics. This involves assessing the novelty of the work, the appropriateness and clarity of the study design and methodology, and the thoroughness of the literature review. You will analyze the presentation of results and conclusions, ensuring they are well-supported by the data and contribute meaningfully to the field. A key aspect of this role is providing clear, concise, and constructive feedback to authors and the journal editor, highlighting any potential flaws, omissions, or ethical concerns. Your evaluation will directly inform the editor's decision regarding manuscript acceptance, revision, or rejection.

Required Qualifications

• A Doctorate (PhD) or equivalent advanced degree in Applied Physics or a closely related field.
• A record of publishing at least 5 papers in SCI/SSCI journals within the past three years.
• A thorough understanding of research methodologies and ethical principles within the discipline.
• Prior experience as a peer reviewer for academic journals is highly desirable.

Essential Skills and Attributes

• Excellent analytical and critical thinking skills.
• Strong written communication skills, with the ability to provide clear, concise, and constructive feedback.
• Ability to adhere to deadlines and manage time effectively.
• Commitment to maintaining confidentiality and objectivity throughout the review process.
• Familiarity with online manuscript submission and review systems is beneficial.

Work Arrangement and Location

This is a part-time position offering the flexibility of remote work. The role is based in Saudi Arabia.

About the Role

Jobgether is seeking a SAP Release Manager – SAP S/4HANA RISE & ALM for a partner company. This full-time position requires 5-10 years of experience and is based in Saudi Arabia. The role is responsible for governing and orchestrating SAP release activities across complex, enterprise-scale S/4HANA RISE landscapes, ensuring controlled, compliant, and predictable deployments.

Role Context and Responsibilities

This position acts as the central point of coordination between technical teams, business stakeholders, and governance bodies. The SAP Release Manager will ensure smooth and risk-mitigated releases by managing and coordinating end-to-end SAP release cycles across S/4HANA RISE environments, including Dev, QA, Staging, and Production. A key aspect of this role involves overseeing SAP transport management processes, including sequencing, dependency handling, and deployment planning and execution.

• Lead Change Advisory Board (CAB) processes to ensure all releases comply with organizational change governance policies.
• Manage SAP Change and Transport Management processes using tools such as SAP Solution Manager (ChaRM/CTS+), SAP Cloud ALM, and related ALM platforms.
• Coordinate release calendars, cutover planning, and deployment scheduling across multiple teams and systems.
• Ensure adherence to SOX compliance, audit controls, and regulatory requirements for all release activities.
• Collaborate closely with development, basis, testing, security, PMO, and business teams to ensure release readiness and alignment.
• Monitor release risks, dependencies, and issues, implementing mitigation and escalation strategies as required.
• Coordinate regression testing, UAT execution support, and release validation activities prior to production deployment.
• Maintain comprehensive release documentation, audit trails, approvals, and deployment records.
• Track RICEF objects, transport dependencies, and inter-project impacts across SAP landscapes.
• Support continuous improvement initiatives to enhance release efficiency, automation, and governance maturity.
• Work with enterprise tools such as ServiceNow and Jira to integrate and streamline release and change management processes.

Qualifications and Experience

This role requires significant experience and expertise in SAP release management within large-scale enterprise environments. Candidates should possess a strong understanding of SAP S/4HANA RISE landscapes and associated ALM tools.

• 8+ years of experience in SAP Release Management within large-scale enterprise SAP environments.
• Strong hands-on experience managing SAP S/4HANA RISE landscapes across multiple environments.
• Deep expertise in SAP Solution Manager (ALM), including ChaRM, CTS/CTS+, release and transport management, and test management modules.
• Experience with SAP Cloud ALM and SAP Change & Transport Management Services (CTMS).
• Familiarity with SAP release automation tools such as Rev-Trac, ActiveControl, or equivalent solutions.
• Strong knowledge of SAP transport sequencing, dependency management, and end-to-end release governance processes.
• Proven experience working with Change Advisory Boards (CAB) and structured change management frameworks.
• Strong understanding of SOX compliance, audit readiness, and regulatory control requirements.
• Experience integrating SAP release processes with enterprise tools such as Jira and ServiceNow.

Required Skills and Competencies

Successful candidates will demonstrate strong coordination, communication, and organizational skills essential for managing complex release cycles.

• Excellent stakeholder management skills with the ability to coordinate across technical and business teams.
• Strong communication skills, with the ability to manage complex discussions and align multiple parties on release strategy and execution.
• Highly organized, detail-oriented, and capable of managing multiple concurrent release streams in complex environments.

About the Freelance SEO Content Writer Role

Jobgether is seeking a Freelance SEO Content Writer with native English proficiency. This role focuses on creating high-impact, search-optimized website content designed to improve visibility, attract qualified traffic, and drive conversions. The work requires a strong understanding of keyword strategy, search intent, and content optimization techniques specifically tailored for the * market. This is a freelance position offering competitive compensation based on experience and output quality.

Role Overview and Objectives

The primary objective of this role is to produce high-performing SEO content that enhances search visibility and achieves measurable business results. You will be responsible for writing and refining service pages and landing pages that are both user-focused and aligned with SEO best practices. This position is ideal for a writer who combines strong editorial skills with technical SEO expertise and a commercial mindset, directly influencing website performance and customer acquisition outcomes.

Key Responsibilities

• Writing keyword-optimized service pages and landing pages to improve rankings and conversion rates.
• Conducting keyword research and applying high-performing search terms aligned with user intent and business goals.
• Ensuring correct application of SEO best practices, including keyword placement, density, readability, and optimization structure.
• Tailoring content specifically for the * audience, ensuring tone, intent, and messaging alignment.
• Monitoring content performance and applying SEO insights to improve engagement and traffic outcomes.
• Collaborating with stakeholders to refine messaging and ensure consistency across web content.

Required Qualifications and Experience

• Extensive experience in SEO content writing with a demonstrated ability to improve rankings and conversions.
• Strong understanding of keyword optimization, SEO metrics, and content performance analysis.
• Familiarity with SEO tools such as Ahrefs, SEMrush, Google Analytics, or similar platforms.
• Native-level English proficiency with excellent written communication skills.
• Deep understanding of * market search behavior and audience expectations.
• Ability to independently research, implement, and optimize high-converting keyword strategies.
• Strong attention to detail, balancing SEO requirements with readability.
• Experience writing for service-based or lead-generation websites is a strong advantage.

Work Arrangement and Compensation

This is a freelance position. Compensation will be competitive and determined based on the candidate's experience and the quality of their output. The role requires the ability to work independently and manage tasks effectively.

About the Role

Jobgether is seeking a Software Engineer, Data Infrastructure & Acquisition to join a partner company. This full-time position is based in Saudi Arabia and focuses on building and scaling systems for large-scale dataset acquisition, crucial for next-generation machine learning models. The role operates in a fully distributed environment, collaborating with engineers, researchers, and product leaders to design robust ingestion pipelines for massive, high-quality audio and text datasets. This work directly influences how data is collected, processed, and transformed into training assets for AI innovation.

Role Context and Impact

This position is situated at the intersection of software engineering, data infrastructure, and applied AI. The engineer will contribute to enhancing the cost-effectiveness, scalability, and efficiency of data systems, while also helping to define the roadmap for dataset development. The environment is fast-paced, highly collaborative, and technically focused, offering significant ownership and autonomy. This is an opportunity to shape foundational infrastructure utilized by millions of users globally.

Key Responsibilities

• Build, maintain, and scale large-scale data ingestion and acquisition systems supporting AI model training and product development.
• Design and extend cloud-based infrastructure, optimizing data pipelines for efficient processing of high-volume datasets across distributed systems.
• Collaborate with AI scientists and engineering teams to improve data quality, reduce costs, and increase throughput for training workflows.
• Identify and integrate new external data sources, including audio and web-based datasets, into production pipelines.
• Contribute to defining dataset strategy and architectural decisions for long-term scalability and reliability of infrastructure systems.

Required Qualifications and Experience

The ideal candidate possesses strong software engineering experience, with a focus on distributed systems, data infrastructure, or backend engineering in production environments. Proficiency in Python and Linux-based development workflows is essential, along with familiarity with cloud platforms like GCP and infrastructure-as-code tools such as Terraform. Experience with Docker, large-scale data pipelines, or web crawling systems is highly valued. Candidates should be comfortable working in fast-paced, ambiguous environments and managing multiple priorities. Strong communication and cross-functional collaboration skills are required. A background in Computer Science or a related technical field is expected, demonstrating a proven ability to build reliable and scalable systems.

• 5+ years of software engineering experience.
• Strong proficiency in Python and Linux environments (bash scripting).
• Experience with GCP and Infrastructure-as-Code (Terraform preferred).
• Hands-on experience with Docker and cloud-native development.
• Exposure to large-scale data pipelines or web crawling systems (preferred).
• Strong problem-solving and system design skills.
• Excellent communication and cross-functional collaboration abilities.
• Degree in Computer Science or related technical field (BS/MS/PhD).

Work Environment and Collaboration

This role operates within a fully distributed environment. The engineer will work closely with AI scientists and engineering teams, requiring strong communication and collaboration skills to ensure effective teamwork and project success. The work is deeply technical and fast-moving, emphasizing strong ownership and autonomy.

About the Role

This position is for a Senior Software Engineer specializing in Windows/Desktop Applications, based in Saudi Arabia. The role focuses on building and enhancing native Windows desktop applications used by millions of users globally. The product aims to transform content consumption by converting written material into accessible audio experiences across multiple platforms. This is a high-impact engineering role requiring deep ownership of the Windows application's architecture, performance, and usability, with a strong emphasis on accessibility and inclusive design principles.

You will operate within a fully distributed engineering environment, collaborating with engineers, designers, and researchers. The position demands a blend of hands-on development and strategic architectural thinking, with responsibility for delivering scalable and reliable desktop software. You will also influence technical direction, improve engineering practices, and contribute to the long-term evolution of the Windows product experience.

Key Responsibilities

• Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI, C#, XAML, and optionally C++.
• Define and enforce engineering best practices for performance, maintainability, memory management, and cross-version Windows compatibility.
• Drive accessibility initiatives, ensuring compliance with Windows accessibility APIs, such as UI Automation, and delivering inclusive user experiences.
• Collaborate with Product, Design, UX, QA, and other engineering teams to define feature scope and UI/UX architecture.
• Own the full software development lifecycle, from design and implementation to testing, release, and ongoing maintenance.
• Diagnose and resolve complex technical issues including performance bottlenecks, memory leaks, rendering issues, and compatibility challenges.
• Contribute to architectural decisions and improve system design for scalability and long-term maintainability.
• Mentor engineers, participate in code reviews, and help raise the overall engineering bar.

Qualifications and Requirements

• A minimum of 3 years of experience in Windows desktop application development using Windows App SDK, WinUI (or similar frameworks), C#, XAML, and optionally C++.
• A strong understanding of Windows application architecture, including .NET and native interop (Win32/WinRT/COM).
• Proven experience shipping production-grade desktop applications with a focus on performance, reliability, and scalability.
• Hands-on experience with accessibility APIs, such as Microsoft UI Automation, and building inclusive software.
• Strong computer science fundamentals including Object-Oriented Programming (OOP), design patterns, data structures, algorithms, multithreading, and asynchronous programming.
• Experience in technical leadership, conducting code reviews, and mentoring engineers.
• Excellent communication skills and the ability to collaborate effectively across cross-functional teams.
• A user-centric mindset with meticulous attention to detail in building intuitive, polished desktop experiences.

Required Skills

• Proficiency in Windows App SDK, WinUI, C#, XAML, and C++.
• Deep understanding of Windows application architecture, including .NET and native interop (Win32/WinRT/COM).
• Experience with accessibility APIs, specifically Microsoft UI Automation.
• Solid grasp of computer science fundamentals: OOP, design patterns, data structures, algorithms, multithreading, and asynchronous programming.
• Demonstrated technical leadership capabilities, including code reviews and mentoring.
• Strong communication and cross-functional collaboration skills.
• Experience with UI automation testing, unit testing, and integration testing frameworks.
• Knowledge of performance optimization techniques, including startup time, memory usage, rendering, and high-DPI support.
• Familiarity with localization, internationalization, and RTL (right-to-left) UI support.
• Experience with telemetry, analytics, logging, crash reporting, and monitoring tools.
• Exposure to CI/CD pipelines, release engineering, and desktop deployment workflows.
• Ability to own modules or feature areas end-to-end, including refactoring and technical debt management.

Work Environment and Details

This is a full-time position located in Saudi Arabia. The role operates within a fully distributed, remote work environment, offering high flexibility and autonomy. The company offers a competitive compensation package aligned with experience and impact. You will have a high degree of ownership in architectural decisions and product direction, with opportunities for leadership, mentoring, and progression into senior technical roles. The culture is mission-driven, focusing on accessibility, inclusivity, and user impact, supported by a collaborative engineering environment that emphasizes learning and technical excellence.

Jobgether utilizes an AI-powered matching process to review applications quickly and objectively. Shortlisted candidates are shared directly with the hiring company, who manages all subsequent steps, including interviews and assessments.

About the Role

This position is listed on behalf of a partner company. The partner is seeking a Senior UA Manager (Core, TikTok) to join a fast-scaling, global user acquisition environment. In this role, you will focus on acquiring and scaling high-quality users across Tier-1 markets, particularly the USA, within a performance-driven framework where TikTok is central to growth. You will manage significant monthly ad budgets in a data-informed setup that prioritizes creative testing, optimization speed, and automation. The role involves hands-on campaign execution combined with strategic input on scaling frameworks and channel evolution. This is a remote-first position within an international team operating across multiple time zones and cultures, characterized by a fast-paced, experimentation-heavy approach focused on measurable business impact and sustainable growth.

Key Responsibilities

• Own and manage TikTok user acquisition campaigns for web funnels, primarily targeting the USA and Tier-1 geographies.
• Plan, launch, optimize, and scale paid acquisition campaigns, managing significant monthly budgets and adhering to performance KPIs such as CPA, ROAS, and LTV.
• Build and maintain robust account structures, tracking systems, domains, whitelists, and payment workflows to ensure operational stability.
• Conduct continuous creative testing cycles, including hypothesis generation, iteration, performance analysis, and scaling of successful concepts.
• Improve automation processes through scripts, rules, and third-party tools to enhance scalability and reduce manual effort.
• Collaborate on performance insights and document best practices to foster channel consistency and knowledge sharing.
• Contribute to cross-functional discussions regarding growth strategy, funnel performance, and creative direction.
• Be responsible for owning, scaling, and optimizing TikTok user acquisition campaigns for core dating products, with a strong focus on performance efficiency and scalable growth systems.

Qualifications and Requirements

• Proven experience managing TikTok user acquisition campaigns for web or B2C products, with demonstrated exposure to US and Tier-1 audiences.
• Demonstrated ownership of significant ad budgets (ideally $100K-$200K+ monthly) and a strong performance marketing mindset focused on CPA, ROAS, and LTV optimization.
• Solid understanding of Facebook Ads ecosystem principles (structure, scaling, bidding, attribution, troubleshooting) as transferable performance expertise.
• Experience running structured creative testing frameworks and iterating based on performance insights.
• Familiarity with automation tools, scripting, or workflow optimization; exposure to AI-driven creative or optimization processes is considered a plus.
• Strong analytical mindset with the ability to interpret campaign data and make prompt, informed optimization decisions.
• Comfort working in a highly execution-focused role that combines hands-on campaign management with strategic input.
• Effective communication skills for remote, asynchronous collaboration across global teams.

Work Environment and Additional Information

This is a fully remote, full-time position based in Saudi Arabia. The role operates within a fast-paced, experimentation-heavy environment oriented toward measurable business impact and sustainable growth. The team is international and spans multiple time zones and cultures. The company offers competitive compensation, 28 calendar days of paid vacation annually, and 7 additional wellness days. Support for professional development includes 50% reimbursement for training, courses, and international conferences, as well as corporate discounts for English language learning. Health benefits provide up to $1,000 annual reimbursement for medical expenses or insurance. Home office support includes equipment provision or reimbursement up to $1,000 every 3 years for home office or co-working expenses. An internal rewards system offers redeemable perks, merchandise, and team experiences. Referral bonuses of up to $5,000 are available for successful candidate recommendations.

Jobgether utilizes an AI-powered matching process for efficient and objective application review. By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. AI tools may support parts of the hiring process, assisting the recruitment team but not replacing human judgment in final hiring decisions.

About the Role

SME Careers, an AI Data Services company and a subsidiary of SuperAnnotate, is seeking a Kannada Language Expert for a remote contract position. This role involves contributing to the enhancement of AI models by ensuring their Kannada language output is natural, reliable, culturally accurate, and clearly written. The expert will refine AI capabilities through the review of AI-generated Kannada content and the creation of high-quality reference content.

Core Responsibilities

The Kannada Language Expert will evaluate language quality and step-by-step reasoning, providing detailed written feedback on AI outputs. This feedback will cover accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to prompts. Key tasks include identifying errors in meaning, mistranslations, register discrepancies, ambiguity, and logical inconsistencies. Fact-checking claims and writing high-quality rewrites and model answers that exemplify best practices in Kannada writing are also essential. The role also involves rating and comparing multiple AI responses based on correctness and overall quality.

Key Contributions to AI Development

• Develop AI Training Content: Create prompts and gold-standard Kannada answers across various domains, including general knowledge, customer support, education, and conversational writing.
• Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness.
• Ensure Model Integrity: Detect unsafe or misleading content, factual inaccuracies, bias, and policy-risk language, while validating reliability across different use cases.

Required Qualifications and Experience

• Native or near-native proficiency in Kannada, including reading and writing.
• Strong professional proficiency in English, at a minimum C1 level, to effectively follow guidelines and provide feedback.
• A Bachelor's degree (or higher) in Linguistics, Kannada/English Literature, Communications, Journalism, Translation, or a related field, or equivalent professional experience.
• A minimum of 3 years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or other language-focused roles.
• A deep understanding of Kannada grammar, spelling conventions, punctuation, and style, with the ability to articulate and correct errors.
• Comfort in handling multiple language registers (formal/informal), regional variations in Kannada, and adapting content for different audiences.
• High attention to detail for identifying subtle meaning shifts, factual inaccuracies, or culturally inappropriate phrasing.
• The ability to work reliably and independently in an hourly, remote contractor workflow across different time zones.
• Prior experience with AI data training/annotation, translation QA, editorial QA, or rubric-based evaluation is strongly preferred.

Skills Profile

• Kannada Language expertise (native or near-native proficiency)
• English Language proficiency (minimum C1)
• Writing and Editing
• Localization and Translation
• Content Quality Assurance (QA)
• Journalism and Education
• AI Data Training
• Translation QA and Editorial QA
• Rubric-based Evaluation

Work Arrangement and Next Steps

This is an hourly, remote contract role. While there is no immediate project for this position, qualified candidates will be contacted when relevant opportunities arise. This role also offers access to future projects within the expert network. The selection process includes an AI interview, a domain-specific task, and an interview with a recruiter.

About the Role

SME Careers, a subsidiary of SuperAnnotate and an expanding AI Data Services company, is seeking a Filipino / Tagalog Quality Assurance Lead (QAL) for a remote, contract-based hourly position. In this role, you will be responsible for overseeing the quality, consistency, and performance of trainers engaged in Filipino/Tagalog AI training projects. Your primary duty will involve reviewing AI-generated Filipino/Tagalog content and the work of trainers and QA personnel to ensure adherence to project guidelines and quality standards. You will provide detailed written feedback and identify recurring quality issues to maintain the integrity of the training data.

This position offers the opportunity to contribute to the enhancement of AI models by ensuring Filipino-language training data is natural, accurate, culturally appropriate, and meets client expectations. While no immediate project is assigned, qualified candidates will be prioritized for relevant opportunities and gain access to future projects through our expert network. The selection process includes an AI interview, a domain-specific task, and a recruiter interview.

Key Responsibilities

• Conduct quality monitoring through spot-checking Filipino/Tagalog items, identifying quality issues, providing ongoing feedback, and escalating recurring or critical issues.
• Communicate project guidelines, changes, workflow updates, and quality expectations to trainers and QAs via Discord.
• Respond promptly to trainer and QA questions regarding Filipino/Tagalog wording, tone, register, translation fidelity, Taglish usage, cultural context, and edge cases.
• Manage trainer and QA activation by contacting inactive contributors, encouraging engagement, tracking follow-ups, and flagging availability issues.
• Create and maintain Filipino/Tagalog project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
• Schedule and conduct onboarding and training sessions for trainers and QAs, covering project expectations, workflows, rubrics, quality standards, and Filipino/Tagalog-specific style requirements.
• Ensure consistent application of Filipino/Tagalog language guidelines by all trainers and QAs, and facilitate understanding of evolving project updates.
• Identify recurring quality gaps, propose workflow improvements, and contribute to the development of scalable QA processes for Filipino/Tagalog language projects.

Qualifications and Requirements

• Bachelor's or Master's degree in Filipino, Tagalog, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a closely related field.
• Native or near-native proficiency in Filipino/Tagalog, with strong reading and writing skills.
• Excellent command of the English language for understanding project guidelines, team communication, and providing feedback.
• A minimum of 3 years of professional experience in Filipino/Tagalog writing, editing, translation, localization, content QA, AI training, education, annotation, or related language review workflows.
• A strong understanding of Filipino/Tagalog grammar, spelling conventions, punctuation, tone, register, cultural context, and natural usage.
• Comfort in handling formal Filipino, conversational Tagalog, and Taglish/code-switching as required, while maintaining consistency with project guidelines.
• Demonstrated ability to evaluate Filipino/Tagalog content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect code-switching, hallucinated claims, ambiguity, or inconsistent terminology.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is highly preferred.
• Proficiency in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Exceptional attention to detail and organizational skills, with the ability to maintain various quality documentation.
• Prior experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a significant advantage.

Required Skills

• Filipino/Tagalog AI training
• Quality Assurance
• AI training data
• Communication
• Attention to detail
• Structured communication
• Quality workflows
• Discord
• Google Sheets
• Google Docs
• Data annotation
• Large language models
• Prompt/response evaluation
• Rubric-based LLM QA

Work Environment and Contract Details

This is a remote, contract-based hourly role. The company is SME Careers, and the region is Saudi Arabia. While specific experience requirements are listed as 2-5 years, the role is focused on quality assurance for Filipino/Tagalog AI training projects.

About the Role

YO IT Consulting is seeking a skilled JavaScript Quality Assurance Lead for a full-time contract position. This role is fully remote. In this capacity, you will be responsible for overseeing the quality and consistency of JavaScript AI training projects. Your duties will involve meticulously reviewing AI-generated JavaScript code and the work of trainers and QA personnel, evaluating output against project guidelines, and ensuring adherence to stringent quality standards. This includes assessing code correctness, reasoning quality, runtime behavior, debugging accuracy, readability, maintainability, performance, security awareness, test coverage, formatting, instruction adherence, and compliance with project-specific rubrics.

This is an opportunity to contribute to an AI Data Services company that partners with leading AI companies and foundation-model labs. Your expertise in JavaScript quality leadership will directly enhance the accuracy, executability, logical soundness, clarity, documentation, and overall alignment of JavaScript training data with client expectations, thereby improving AI models. The selection process includes an AI interview, a domain-specific task, and an interview with a recruiter. Qualified candidates will be prioritized for future opportunities and gain access to an expert network.

Key Responsibilities

• Conduct quality monitoring by spot-checking JavaScript items, identifying quality issues, providing ongoing feedback through direct messages, and escalating recurring or critical issues.
• Perform code reviews, evaluating AI-generated JavaScript code, debugging responses, implementation explanations, algorithmic solutions, frontend/backend snippets, tests, and step-by-step reasoning for correctness and clarity.
• Communicate updates to trainers and QAs via Discord regarding new item guidelines, project changes, workflow updates, quality expectations, and JavaScript-specific review standards.
• Respond clearly and promptly to trainer/QA questions, particularly concerning JavaScript behavior, asynchronous logic, browser vs. **** environments, frameworks, package usage, testing, edge cases, and rubric interpretation.
• Manage trainer/QA activation by messaging inactive or underperforming contributors, encouraging engagement, tracking follow-ups, and flagging availability issues when necessary.
• Create and maintain comprehensive JavaScript project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Schedule and conduct onboarding and training sessions for trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and JavaScript-specific review requirements.
• Ensure consistent application of JavaScript review guidelines by all trainers and QAs, and effectively communicate updates as projects evolve.
• Flag unsafe, misleading, insecure, or overconfident code recommendations, with a particular focus on injection risks, dependency usage, authentication, browser security, data handling, and production readiness.
• Identify recurring quality gaps, propose workflow improvements, and contribute to building scalable QA processes for JavaScript AI training projects.

Qualifications and Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a closely related field. Equivalent professional software engineering experience will also be considered.
• Strong English language proficiency to effectively follow project guidelines, communicate with teams, and provide clear technical feedback.
• 3+ years of professional experience in JavaScript development, frontend engineering, backend development with ****, full-stack engineering, code review, software QA, technical mentoring, or related workflows.
• A strong understanding of core JavaScript concepts, including closures, scope, hoisting, prototypes, promises, async/await, the event loop, modules, DOM manipulation, error handling, data structures, and modern ECMAScript features.
• Capability to evaluate JavaScript content against detailed rubrics and identify issues such as incorrect logic, non-executable code, flawed reasoning, missing edge cases, poor asynchronous handling, security risks, performance problems, hallucinated APIs, or incomplete explanations.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, technical writers, coding mentors, or QAs is strongly preferred.
• Comfort working in fast-moving remote environments utilizing tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.
• Exceptional attention to detail and organizational skills, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and calibration tasks.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, code content QA, or rubric-based LLM evaluation is a strong plus.

Technical Skills

• JavaScript
• Quality Assurance
• Communication
• Attention to Detail
• ****
• React
• Vue
• Express
• Jest
• Mocha
• Playwright
• ESLint
• Prettier
• Vite
• Webpack
• Babel
• Browser Developer Tools
• AI Training Data
• Data Annotation
• Large Language Models
• Prompt/Response Evaluation
• Code Content QA
• Rubric-based LLM Evaluation
• Familiarity with common JavaScript ecosystems and tools such as npm/yarn/pnpm is preferred.

Work Environment and Contract Details

This is a full-time contract position. The role is entirely remote, allowing you to work from any location. The company is YO IT Consulting. While specific project assignments are not immediate, qualified candidates will be considered for future opportunities. The company operates in the AI Data Services sector, collaborating with major AI companies and foundation-model labs globally. The required experience for this role is 2-5 years.