SWE Task Evaluator - Fully Remote | Upto $90/hr

Role Summary

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: SWE-Bench Task Auditor
• Type: Contract
• Compensation: $70–$90/hour
• Location: Remote
• Role Responsibilities

Evaluate the quality, correctness, and reproducibility of software-engineering benchmark tasks .

Assess repository-level tasks, reference patches, test harnesses, and grading integrity.

Provide clear, rubric-based written feedback to improve AI model training .

Audit reference patches, test runners, and Docker isolation to detect answer leakage and reward hacking.

Work independently and asynchronously to meet deadlines and enhance AI model performance .

Requirements

• 3+ years professional software engineering experience.
• Real open-source contribution or maintainer experience (merged PRs, committer/maintainer roles).
• Strong ability to audit reference patches, test runners, and Docker isolation.
• Fluency across common ecosystems ( Python and at least one of Java / Go / TypeScript / C++ ).

Preferred

• Familiarity with SWE-Bench (Verified) or similar repository benchmarks.
• Maintainer history on major Python OSS ( Django , Flask , scikit-learn , sympy , pytest , etc.).
• Prior code-review or task-grading experience.
• 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:

Additional Information

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