Software Engineering AI Code Evaluator

Eligibility: Based in an English-speaking country
About OpenTrain
OpenTrain is the centralized, open platform where AI training and data-labeling freelancers find work, consolidate opportunities across platforms, and build a unified AI training portfolio they control. We make specialized AI training work easier to track, apply for, and grow into a durable freelance career.
About this role
OpenTrain is recruiting for a Software Engineering AI Code Evaluator to support AI training work focused on software engineering code evaluation. You will review AI-generated code, coding problems, reference solutions, and test cases, then provide clear technical feedback that helps improve model performance on real-world software tasks.
What you will do
Evaluate AI-generated code for correctness, quality, design, architecture, debugging, and system design. Create challenging coding problems, reference solutions, and test cases. Review model reasoning and provide detailed technical feedback to improve model performance. Apply consistent, evidence-based judgment across repeated review tasks.
Required skills
At least one year of experience as a software engineer at a top technology company, including some experience within the past seven years. Strong understanding of system design, software architecture, debugging, algorithms, and data structures. An undergraduate degree from a top-ranked university is preferred. You should be based in an English-speaking country and able to explain technical decisions clearly in writing. Contractors should be comfortable working independently on remote tasks and applying evaluation criteria consistently.
Schedule and compensation
This is a remote contractor opportunity for candidates based in an English-speaking country. Compensation is $245‑$280 per hour.
Why work with OpenTrain
OpenTrain gives freelancers one place to manage AI training opportunities instead of rebuilding proof of work on every platform. A stronger OpenTrain profile helps you show credible experience, discover roles that match your skills, and turn AI training and data-labeling work into a long-term portfolio.

Work arrangement
Yes