The work
You will help create and improve software engineering datasets used to train and evaluate large language models. The work centers on Python, with additional coverage of JavaScript, ReactJS, C/C++, Java, Rust, and Go.
- Curate code examples and create precise solutions for software engineering tasks.
- Review AI-generated code for correctness, efficiency, scalability, and reliability.
- Build Python agents and automated tools that find error patterns and assess code quality.
- Design automated checks that verify solutions to software engineering problems.
- Evaluate model performance across architecture, API design, implementation, launch, monitoring, and maintenance.
- Work with other teams to improve AI coding solutions against performance benchmarks.
What it pays and takes
This is a contractor, part-time engagement for candidates based in the United States. The initial engagement lasts one month, with possible extensions based on performance and fit.
- Pay: Not provided.
- Location: United States.
- Schedule: Flexible commitment of 10 to 40 hours per week.
- Experience: At least three years of software engineering experience.
- Required: Deep Python knowledge, including production frameworks, tools, and best practices.
- Required: Experience building full-stack applications and deploying scalable software.
- Required: Strong skills in software architecture, design, development, debugging, and code quality review.
- Required: Clear, structured written and spoken explanations of evaluation decisions.
- Required: Experience with JavaScript, ReactJS, C/C++, Java, Rust, or Go, in addition to Python.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work is the human side of building artificial intelligence. Contributors prepare examples, review model responses, evaluate generated code, and provide feedback that helps AI systems become more accurate and useful.
About OpenTrain
OpenTrain is a platform where people find AI training and data-labeling projects, build a profile, and apply in minutes. Creating an account is free, and the platform helps contributors grow experience in this field.