AI Code Evaluation And Benchmarking Engineer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps contributors discover specialized projects, build a lasting AI training portfolio, and apply for work in minutes.

• Create a free OpenTrain account to build your professional profile.
• Showcase relevant software engineering and AI evaluation experience.
• Find opportunities that match your technical skills and career goals.

About AI Code Evaluation

AI training is the human side of building modern artificial intelligence. In code evaluation work, experienced engineers review generated software, test whether it solves the intended problem, and provide structured feedback that helps AI systems produce more accurate and reliable implementations.

• Contribute to the development of systems that generate and reason about code.
• Work remotely on flexible contractor assignments in a fast-growing AI field.
• Help shape coding benchmarks, datasets, and evaluation standards.

The Role

OpenTrain is recruiting an AI Code Evaluation and Benchmarking Engineer to assess and improve AI-generated software. You will review code for correctness, efficiency, maintainability, and compliance with requirements, then validate proposed solutions against real-world engineering tasks.

The role also involves examining model-generated explanations and implementation approaches, investigating technical failure modes, and helping maintain reliable coding benchmarks and grading standards.

• Remote contractor assignment for freelancers located in the United States.
• Expected contract duration: one month.
• Schedule: at least 20 hours per week, including at least four hours per day.
• Requires four hours of overlap with Pacific Time.
• Compensation details are not disclosed.

What You’ll Do

You will evaluate software engineering tasks and document findings clearly so project teams can apply consistent standards. The work requires careful technical judgment, hands-on debugging, and the ability to assess complex solutions with minimal supervision.

• Review AI-generated code against functional and technical requirements.
• Analyze proposed solutions and validate whether they achieve expected outcomes.
• Debug code, reproduce issues, and verify fixes across different programming environments.
• Assess model-generated explanations, reasoning, and implementation approaches for technical accuracy.
• Create, refine, and maintain evaluation datasets, benchmarks, and grading rubrics.
• Identify edge cases and failure modes in AI-generated software engineering solutions.
• Document technical findings and provide structured feedback for consistent evaluations.
• Collaborate with project teams to establish quality standards and evaluation methodologies.

Required Qualifications

A bachelor’s or master’s degree in computer science, software engineering, or a related technical field is required, along with at least three years of professional software engineering experience. Although this assignment is listed at an entry level, the required technical background is substantial and should guide your assessment of fit.

• Proficiency in at least one of Python, Java, C, C++, Go, Swift, Objective-C, PHP, or SQL.
• Strong knowledge of data structures, algorithms, software design principles, and debugging methodologies.
• Experience conducting code reviews and judging quality in production or large-scale codebases.
• Ability to assess AI-generated implementations and explanations for correctness, edge cases, and technical accuracy.
• Familiarity with Git or comparable version control systems.
• Familiarity with modern software development workflows.
• Strong written communication and careful attention to detail.
• Ability to evaluate complex technical solutions with minimal supervision.

Helpful Background

Prior experience in AI training or model evaluation can help you understand the work more quickly, but the core requirement is strong software engineering judgment and practical code review experience.

• AI or machine learning data annotation
• Natural language processing
• Prompt engineering
• Large language model projects
• AI-generated code evaluation
• Benchmark creation
• Software quality assessment

How To Apply Through OpenTrain

Create or update your free OpenTrain profile with your programming languages, software engineering experience, code review background, and relevant AI evaluation work. Then apply through OpenTrain and review the assignment details before beginning the contractor engagement.

• Confirm that you are located in the United States.
• Review the 20-plus-hour weekly schedule and Pacific Time overlap requirement.
• Highlight experience with production codebases, debugging, Git, and software evaluation.
• Include relevant AI-generated code or model evaluation experience when available.