Data Annotation Specialist | $22/hr PT
Posted 2026-05-06
Remote, USA
Full-time
Immediate Start
- *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: https://talent.docs.mercor.com/welcome/welcome
- 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.