AI Trainer & Evaluator📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | Remote | |
| Location | Makkah |
Job Description
About the Role: AI Trainer & Evaluator
YO IT Consulting is seeking an AI Trainer & Evaluator to join our team. This full-time position is based in Jeddah, Makkah, Saudi Arabia. The role focuses on applying expertise to enhance next-generation AI systems, directly influencing how these models learn, reason, and perform through high-quality, real-world input.
Role Contribution
In this position, the AI Trainer & Evaluator will play a critical part in the development and refinement of artificial intelligence. The work involves meticulous evaluation and data annotation, ensuring AI models meet defined performance standards and exhibit accuracy across various subject areas. This role is fundamental to the continuous improvement of AI capabilities.
Key Responsibilities
- Evaluate and score AI-generated responses using well-defined rubrics and metrics across diverse subject areas.
- Annotate and categorize data sets to improve AI model accuracy and reliability.
- Apply keen attention to detail in reviewing content for relevance, coherence, and factual accuracy.
- Provide clear, actionable feedback on AI performance to inform ongoing model improvements.
- Collaborate with the customer's team to interpret guidelines and contribute to rubric refinement.
- Document findings and maintain meticulous records of annotations and evaluations.
- Engage in critical reading and analysis of complex subject matter ranging from business and finance to marketing, healthcare, and legal domains.
Required Experience
Candidates for this role should possess 0-1 years of relevant experience. This position is suitable for individuals looking to apply their analytical skills and attention to detail in the field of artificial intelligence development.
Work Location and Type
This is a full-time position located in Jeddah, Makkah, Saudi Arabia. The role requires dedicated on-site presence to facilitate direct engagement with project requirements and team collaboration.
Application Process
Interested candidates are encouraged to submit their applications. Further details regarding the application process will be provided upon inquiry.
Requirements
- No experience required
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