Software Engineering AI Code Evaluator

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and apply in minutes.

• Free account creation
• Opportunities connected to growing AI systems
• A profile that helps showcase your AI-training experience

About AI Training Work

AI training is the human side of building artificial intelligence. Software professionals contribute by reviewing model-generated code, testing solutions, assessing reasoning, and providing expert feedback that helps AI systems become more accurate, reliable, and useful.

• Work remotely with a computer and internet connection
• Use software-engineering expertise on cutting-edge AI development
• Help shape how AI handles real-world technical problems

The Software Engineering AI Code Evaluator Role

OpenTrain AI is seeking a Software Engineering AI Code Evaluator to assess AI performance on real-world software tasks. You will combine hands-on technical judgment with structured AI evaluation across correctness, code quality, architecture, debugging, algorithms, data structures, and system design.

This is a remote contractor opportunity for an individual software professional based in an English-speaking country. The role is listed at an entry level and requires at least one year of software-engineering experience, including some experience within the past seven years.

• Remote contractor engagement
• Part-time opportunity requiring 20+ hours per week
• Advertised compensation of $245-$280 per hour
• Open to professionals based in English-speaking countries

What You’ll Do

You will evaluate AI-generated code and explain whether proposed solutions meet demanding software-engineering standards. Your work will include reviewing model reasoning, designing challenging tasks, and communicating precise findings that can improve future model performance.

• Assess generated code for correctness, quality, maintainability, and design
• Review model reasoning about architecture, debugging approaches, and system design
• Create rigorous software-engineering problems and coding challenges
• Produce reference solutions and test cases
• Evaluate alternative implementation and architecture choices
• Write detailed feedback explaining technical findings and decisions

Requirements

You should have strong software-engineering judgment and the ability to communicate technical decisions clearly in written English. The role requires experience reviewing real-world software and understanding how implementation choices affect correctness, quality, maintainability, and system design.

• At least one year of software-engineering experience at a top technology company
• At least part of that experience must have been within the past seven years
• Expertise in system design and software architecture
• Strong debugging, algorithms, and data-structures knowledge
• Sound code-review judgment across correctness, quality, design, and maintainability
• Ability to create coding problems, reference solutions, and test cases
• Clear written English communication of technical decisions

Helpful Background

An undergraduate degree from a top-ranked university is preferred. Experience working on real-world software systems and comparing implementation or architecture alternatives can further support success, especially when paired with strong code-review judgment.

• Undergraduate degree from a top-ranked university preferred
• Experience with real-world software systems
• Experience evaluating competing implementations or architecture choices

Build Your AI Training Career

AI training and data-labeling work is a fast-growing way to apply technical expertise to the development of modern AI. OpenTrain gives contributors a place to find relevant projects, build a durable professional profile, and grow their experience across the industry.

• Apply through OpenTrain
• Create your OpenTrain account for free
• Turn specialized evaluation work into a lasting AI-training portfolio