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Software Engineer - AI Evaluation

$60 - $100 per hour
Full-time

Mercor

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.

Qualifications

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.

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

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Vacancy posted more than 2 months ago
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