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Contract TypeContract TypeFull-time
Workplace typeWorkplace typeRemote
LocationLocationSaudi Arabia

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.


Requirements

  • Requires 2-5 Years experience

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