The work
You will evaluate software produced by AI systems and judge whether it meets functional and technical requirements. Your reviews will support human feedback and evaluation data for systems that generate and reason about code.
- Review AI-generated code for correctness, efficiency, maintainability, and compliance with requirements.
- Analyze software engineering tasks and check whether proposed solutions produce the expected results.
- Debug code, reproduce issues, and verify fixes across different programming environments.
- Assess AI-generated explanations, reasoning, and implementation approaches for technical accuracy.
- Create, refine, and maintain coding datasets, benchmarks, and grading rubrics.
- Find edge cases and technical failure modes in AI software engineering tasks.
- Document findings and provide structured feedback for consistent evaluations.
- Help project teams set quality standards and evaluation methods.
What it pays and takes
This is a remote contractor assignment for freelancers located in the United States. Compensation details are not disclosed.
- Pay: Compensation details are not disclosed.
- Schedule: At least 20 hours per week, including at least four hours per day.
- Time zone: At least four hours of overlap with Pacific Time.
- Location: Open to candidates in the United States.
- Engagement: One-month contract assignment.
- Experience level: Entry level.
- Education: A bachelor's or master's degree in computer science, software engineering, or a related technical field.
- Experience: At least three years of professional software engineering experience.
- Programming: Proficiency in one or more of Python, Java, C/C++, Go, Swift, Objective-C, PHP, or SQL.
- Technical knowledge: Strong understanding of data structures, algorithms, software design, and debugging methods.
- Code quality: Experience reviewing code and evaluating quality in production or large codebases.
- Tools and workflow: Familiarity with Git or a comparable version control system and modern software development practices.
- Communication: Strong written communication, close attention to detail, and the ability to assess complex technical solutions with limited supervision.
- Helpful background: AI or machine learning data annotation, natural language processing, prompt engineering, model evaluation, large language model projects, benchmark creation, AI-generated code evaluation, or software quality assessment.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find this AI training role and start your application.
About AI training work
AI training is the human work behind systems that learn from examples, including reviewing code and rating model outputs. People with software engineering experience are needed to judge whether AI-generated solutions are accurate, reliable, and useful. OpenTrain helps people find these roles, build a profile, and apply in minutes.