Software Engineer - Benchmark Auditor

mercor

United States

Remote

USD 96,000 - 124,000

Full time

14 days+

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Job summary

Mercor seeks a SWE-Bench Task Auditor for a remote contract role. You will evaluate benchmark tasks, audit reference patches and test runners, and provide rubric-based feedback to improve AI model training. Experience with Docker isolation and open-source contributions is essential.

Fluency in Python and at least one of Java, Go, TypeScript or C++ is required. You will work independently to meet deadlines and help enhance AI model performance remotely.

Qualifications

  • 3+ years professional software engineering experience.
  • Real open-source contribution or maintainer experience.
  • Ability to audit reference patches, test runners, and Docker isolation.
  • Fluency in Python and at least one of Java, Go, TypeScript or C++.

Responsibilities

  • Evaluate the quality, correctness, and reproducibility of benchmark tasks.
  • Assess repository-level tasks, reference patches, test harnesses, and grading integrity.
  • Provide rubric-based written feedback to improve AI model training.
  • Audit reference patches, test runners, and Docker isolation to detect leakage and hacking.
  • Work independently and asynchronously to meet deadlines and enhance AI model performance.

Skills

Software engineering
Open-source contributor
Docker auditing
Python
Java
Go
TypeScript
C++
Code audit

Tools

Docker

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: 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.
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