Content Quality Analyst

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: AI Model Evaluator Type: Full-time or Part-time Contract Work Compensation: $36/hour Location: Geography restricted to Europe, 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 Italian Significant experience using large language models (LLMs) Excellent writing skills Strong attention to detail Adaptable and comfortable moving across topics 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: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Job ID: 10506012 / Ref: a768e9bf5c1dca2c05493cae87cd85af

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