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:
[Role Title]

Type:
Full-time or Part-time Contract Work
Compensation:
$60–$100/hour
Location:
US-Based and Non-US-Based
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 for 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 field
• 3+ years real-world experience in software engineering or related technical roles
• Expertise 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 independently
• Experience contributing to well-known open-source projects, including merged pull requests
• Significant experience using LLMs while coding and understanding their strengths and failure modes
• Strong attention to detail and comfort evaluating complex technical reasoning, identifying subtle bugs or logical flaws

Preferred

• Prior experience with RLHF, model evaluation, or data annotation work
• Track record in competitive programming
• Experience reviewing code in production environments
• Familiarity with multiple programming paradigms or ecosystems
• Experience explaining complex technical concepts to non-expert audiences

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
• 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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