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Senior Python Engineer, LLM Evaluation

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Job details

Engagement

Contract, part-time

Location

Remote

United States only

Posted

Nov 6, 2026

OpenTrain on Trustpilot

The work

Create training and benchmarking datasets for large language models by preparing code examples, writing solutions, and evaluating AI-generated software. The work covers backend, frontend, and API development, with attention to efficiency, scalability, reliability, and performance.

The role focuses on software engineering evaluation across full-stack work, so review the duties and qualifications before applying.

  • Curate code examples and provide precise solutions for model training.
  • Review and refine AI-generated code in Python, JavaScript, React, Node.js, C/C++, Java, Rust, and Go.
  • Assess software architecture, API design, production implementation, experiments, monitoring, and ongoing maintenance.
  • Build agents that check code quality, identify recurring errors in full-stack applications, and automatically verify solutions to software engineering tasks.
  • Work with cross-functional teams to improve AI coding systems against industry performance benchmarks.

Requirements

  • Schedule: Flexible, with a commitment of 20 or more hours per week.
  • Engagement: Part-time contractor work, initially for one month, with potential extensions based on performance and fit.
  • Skills: Strong full-stack development skills in Python and JavaScript, including React and Node.js, and experience deploying scalable, production-grade software.
  • Knowledge: Software architecture, design, development, debugging, and code review, plus the ability to explain technical judgments clearly in writing and speech. English communication is required.
  • Skills: Python, JavaScript, Java, C++, Rust

Open to applicants in

  • United States

How to apply

  1. Press Apply now. You create a free OpenTrain account and add your resume.
  2. Finish your application on the hiring company's site. The company decides who it hires, so it runs its own form.

Job ID: cmw4vd00q001608l5wrxnct87

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