Data Annotation Specialist | $22/hr PT

Remote Full-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: 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.
Apply Now →

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