The work
You will help build software datasets used to train and test large language models. The work focuses on reviewing AI-generated code, creating accurate corrections, and judging whether implementations meet standards for performance, scalability, reliability, and production use.
You will also create Python agents and automated checks that find error patterns, assess solution quality, and measure model performance across software development tasks.
- Curate code examples and write high-quality reference solutions.
- Review AI-generated code for architecture, API design, implementation quality, debugging, and operational readiness.
- Evaluate software across prototyping, launch, experimentation, monitoring, and maintenance.
- Work mainly with Python across backend services, data pipelines, and machine learning infrastructure.
- Contribute to coding evaluations involving JavaScript, ReactJS, C/C++, Java, Rust, and Go.
- Write clear, structured explanations for evaluation decisions.
- Collaborate with other teams to improve AI coding solutions.
What it pays and takes
This is a contractor role for candidates based in the United States. The initial engagement lasts one month, with possible extensions based on performance and fit.
- Pay: Not specified in the listing.
- Workload: 20 or more hours per week.
- Location: Remote for candidates in the United States.
- Engagement: Part-time contractor work.
- Experience: At least three years of software engineering experience.
- Technical background: Deep Python knowledge, including frameworks, tools, and production engineering practices.
- Required ability: Build full-stack applications and deploy scalable software.
- Required skills: Software architecture, design, development, debugging, code review, and evaluation.