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)

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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.#hiringmercor

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