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 : $60–$100 / hour
Location : Remote
Role Responsibilities
- Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness.
- Conduct fact‑checking using trusted public sources and authoritative references.
- Execute code and validate outputs using appropriate tools to conduct accuracy testing.
- Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies.
- Assess code quality, readability, algorithmic soundness, and explanation quality.
- Ensure model responses align with expected conversational behavior and system guidelines.
- Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines.
Qualifications
Must‑Have
BS, MS, or PhD in Computer Science or a closely related field5+ years of real‑world experience in software engineering or related technical rolesExpertise in at least two relevant programming languages (e.g., Python, Java, C++, C, JavaScript, Go, Rust, Ruby, SQL, Powershell, Bash, Swift, Kotlin, R, TypeScript, HTML / CSS)Ability to solve HackerRank or LeetCode Medium and Hard‑level problems independentlyExperience contributing to well‑known open‑source projects, including merged pull requestsSignificant experience using LLMs while coding and understanding their strengths and failure modesStrong attention to detail and comfort evaluating complex technical reasoning, identifying subtle bugs or logical flawsPreferred
Prior experience with RLHF, model evaluation, or data annotation workTrack record in competitive programmingExperience reviewing code in production environmentsFamiliarity with multiple programming paradigms or ecosystemsExperience explaining complex technical concepts to non‑expert audiencesApplication Process (Takes 20–30 mins to complete)
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For details about the interview process and platform information, please check : https : / / talent.docs.mercor.com / welcome / welcomeFor any help or support, reach out to : support@mercor.comPS : Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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