Data Annotator | Upto $22/hr Part-time
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Language Model Evaluator
Type: Full-time or Part-time Contract Work
Compensation: $23/hour
Location: Geography restricted to Egypt, Saudi Arabia, UAE, USA
Role Responsibilities
- Evaluate LLM-generated responses on their ability to effectively answer user queries.
- Conduct fact-checking using trusted public sources and external tools .
- Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies.
- Assess reasoning quality, clarity, tone, and completeness of responses.
- Ensure model responses align with expected conversational behavior and system guidelines.
- Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines.
Qualifications
Must-Have
- Bachelor’s degree
- Native speaker or ILR 5/primary fluency (C2 on the CEFR scale) in Arabic
- Significant experience using large language models (LLMs)
- Excellent writing skills
- Strong attention to detail
- Adaptable and comfortable moving across topics, domains, and customer requirements
- Background or experience in domains requiring structured analytical thinking
- Excellent college-level mathematics skills
Preferred
- Prior experience with RLHF, model evaluation, or data annotation work
- Experience writing or editing high-quality written content
- Experience comparing multiple outputs and making fine-grained qualitative judgments
- Familiarity with evaluation rubrics , benchmarks, or quality scoring systems
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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