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OpenTrain AI is seeking a Software Engineering AI Code Evaluator to curate C and C++ code examples and evaluate AI-generated implementations for training datasets. You will assess efficiency, scalability, reliability, and production readiness, working across languages including Python and JavaScript.
The role combines hands-on coding with structured evaluation across the software development lifecycle, from prototyping to deployment and monitoring. Flexible contractor with part-time commitments.
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps contributors discover projects, build a professional profile, and apply for opportunities in a rapidly growing field where people directly shape how AI systems are built.
AI training depends on human experts who prepare examples, assess model outputs, and explain what makes a response accurate, reliable, and useful. In this role, your software engineering judgment will help train and benchmark large language models that generate and work with code.
OpenTrain is seeking a Software Engineering AI Code Evaluator to create and assess programming datasets for AI training initiatives. You will work with code examples and AI-generated implementations, evaluating whether solutions are efficient, scalable, reliable, and appropriate for production-oriented use.
The work combines hands-on coding expertise with structured evaluation across the software development lifecycle, from prototyping and architecture through deployment, experimentation, monitoring, and operational maintenance.
You will curate C and C++ code examples, build precise solutions, and correct implementations used in AI training. You will also assess model capabilities and compare AI-driven coding solutions against relevant industry performance benchmarks.
This role requires substantial professional software engineering expertise and the ability to make clear, structured judgments about production-quality code. Strong written and spoken communication is essential because evaluation decisions must be explained precisely.
This is a flexible contractor engagement. The role description specifies a minimum commitment of 10 hours per week with capacity for up to 40 hours per week; the listing details indicate a 20+ hour-per-week time requirement. Work is available part time within that engagement range.
AI training and data labeling are among the fastest-growing ways to work in tech. By evaluating code and model behavior, contributors bring human software engineering expertise to the development of modern AI systems.
OpenTrain gives you one place to discover relevant projects, demonstrate your experience, and build a durable portfolio in AI training and data labeling. Creating an OpenTrain account is free.