AI Summary
Evaluate LLM-generated responses, conduct fact-checking, and assess code quality. Requires a strong background in software engineering and data science. Work remotely as a contract expert.
Key Highlights
Evaluate LLM-generated responses
Conduct fact-checking and accuracy testing
Assess code quality and readability
Key Responsibilities
Evaluate LLM-generated responses to coding and software engineering queries
Conduct fact-checking using trusted public sources and authoritative references
Conduct accuracy testing by executing code and validating outputs using appropriate tools
Technical Skills Required
Nice to Have
Prior experience with RLHF, model evaluation, or data annotation work
Track record in competitive programming
Experience reviewing code in production environments
Job Description
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: Software Engineering, Data Science, and Systems Design Experts
Type: Contract
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.
- Conduct accuracy testing by executing code and validating outputs using appropriate tools.
- 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.
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Must-Have
- BS, MS, or PhD in Computer Science or a closely related field.
- Significant (3+ years) real-world experience in software engineering or related technical roles.
- Expert 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).
- Able 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 comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws.
- 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.
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- Upload resume
- AI interview based on your resume
- Submit form
- 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: support@mercor.com
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