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OpenTrain AI, Inc. is seeking a remote, part-time contractor to evaluate code patches produced by language models for open source repositories you maintain. You will review submissions from fellow experts and provide clear, written reasoning for each assessment.
You will write detailed, constructive feedback and help maintain high-quality evaluations for AI training. Candidates should have senior software engineering experience and a track record with open source projects, including active
You will evaluate code patches generated by large language models for open source repositories. Your reviews will help improve AI systems by showing whether proposed changes are correct, useful, and suitable for the repository.
You will also review submissions from other subject-matter experts and provide clear written reasoning for each assessment.
This is a remote, part-time contractor role with flexible scheduling. The role description states an expected availability of 15 hours per week, while the structured listing specifies 20+ hours per week; confirm the current expectation during application.
Compensation is listed at $150 to $300 per hour, with payment described as output-based for tasks that meet project specifications.
AI training is the human work behind systems that generate and understand code, text, images, and other content. People review examples and model outputs so these systems can become more accurate and useful, and experienced specialists are paid for applying sound judgment to difficult evaluations.