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Software Engineer – AI Code Evaluation & Benchmarking (US candidates only)

Turing Turing Part-timeRemote
Posted Oct 3, 2026 · ✓ Still open — checked 4 hours ago

Quick facts

Type
Part-time
Location
Remote
Hours
20+ hours / week
Background
Master's degree
Skills
Python, Java, C++, PHP, SQL, Docker
Platform
Turing — 255 open jobs
Typical pay at Turing
$15–20/hour · median $15 (16 jobs on our site)
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Evaluate and improve AI-generated code for accuracy and quality.

About Turing

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps leading AI labs improve the reasoning, problem-solving, and decision-making capabilities of large language models (LLMs) through high-quality human feedback, evaluation, and training data.


Role Overview

We are looking for experienced Software Engineers to help evaluate, benchmark, and improve the coding capabilities of frontier AI models. In this role, you will assess AI-generated code, validate solutions against real-world software engineering tasks, identify correctness and quality issues, and contribute to the development of high-quality evaluation datasets and benchmarks.

This position is ideal for engineers who enjoy code review, debugging, problem-solving, and applying strong software engineering judgment to complex technical scenarios. Your work will directly contribute to measuring and improving the performance of advanced AI coding systems.


What Does Day-to-Day Look Like?

  • Review and evaluate AI-generated code for correctness, efficiency, maintainability, and adherence to requirements.
  • Analyze software engineering tasks and validate whether proposed solutions meet expected outcomes.
  • Debug code, reproduce issues, and verify fixes across different programming environments.
  • Assess model-generated explanations, reasoning, and implementation approaches for technical accuracy.
  • Create, refine, and maintain evaluation datasets, benchmarks, and grading rubrics for coding tasks.
  • Identify edge cases, failure modes, and areas where AI systems struggle with software engineering problems.
  • Document findings clearly and provide structured feedback to improve evaluation quality and consistency.
  • Collaborate with project teams to establish quality standards and evaluation methodologies.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
  • 3+ years of professional software engineering experience.
  • Strong proficiency in one or more of the following languages: Python, Java, C/C++, Go, Swift, Objective-C, PHP, or SQL.
  • Strong understanding of data structures, algorithms, software design principles, and debugging methodologies.
  • Experience performing code reviews and evaluating code quality in production or large-scale codebases.
  • Ability to analyze complex technical problems and assess solution correctness with minimal supervision.
  • Familiarity with version control systems (e.g., Git) and modern software development workflows.
  • Strong written communication skills and attention to detail.
  • Experience with AI/ML data annotation, NLP, prompt engineering, model evaluation, or LLM-related projects is a plus.
  • Experience evaluating AI-generated code, benchmark creation, or software quality assessment is highly preferred.

Perks of Freelancing With Turing

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details

  • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
  • Engagement  type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 1 month; [expected start date is next week]
  • Location: US only

Evaluation Process

  1. Online automated coding challenge for Python and Docker test (RHLF)

Skills: Python, Git, Docker

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About Turing

Turing started as a marketplace for remote software engineers and now focuses on training and evaluating AI models for frontier labs. Most listings are for developers who write, review and debug code used to improve LLM coding ability.