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

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: 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 .

Qualifications

Must-Have

- 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:

- For any help or support, reach out to:

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

Originally posted on Himalayas