Backend Coding Task Creator and AI Evaluator

OpenTrain AI, Inc.; United Kingdom; Remote; GBP 33,000 - 107,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a backend-focused contractor to craft realistic coding tasks for feature development and bug fixes.

You will build verifiers, review AI-generated solutions, and assess debugging, performance, and testing quality to produce strong, high-quality training material. The role emphasizes backend engineering judgment, scalable API considerations, and maintainability, with part-time hours and English-language work.

Qualifications

• Professional backend development experience with Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar languages.
• Experience building scalable services and APIs.
• Strong knowledge of algorithms, data structures, and foundational computer science.
• Experience finding software bugs, system bottlenecks, or performance issues.
• Ability to refactor code and implement complex features in large-scale applications.
• Strong analytical, problem-solving, and technical communication skills.
• Experience designing service/test strategies, maintaining large automated test suites or CI pipelines is helpful.
• Public or private code samples demonstrating strong software engineering ability is helpful.

Responsibilities

• Create realistic backend coding tasks for feature development and bug fixes.
• Build deterministic verifiers that accept valid solutions and reject incorrect ones.
• Review AI-generated code with strong software engineering judgment.
• Evaluate debugging work, performance, automated tests, and maintainability.
• Produce high-quality examples for AI training.

Skills

Backend development

Scalable services

Algorithms & CS

Debugging & performance

Refactoring large codebases

Analytical skills

Technical communication

Testing/CI strategies

Job description

The Work

You will help train AI systems through realistic software engineering tasks. You will create backend feature and bug-fix challenges, then assess the solutions produced by AI systems.

The role combines backend engineering judgment with structured code evaluation. Your reviews will consider correctness, performance, debugging, automated testing, maintainability, and implementation quality.

• Create realistic backend coding tasks for feature development and software bug fixes.
• Build deterministic verifiers that accept reasonable valid solutions and reject incorrect or incomplete implementations.
• Review AI-generated code using strong software engineering and code review judgment.
• Evaluate debugging work, performance, automated tests, and maintainability.
• Produce challenging, high-quality examples for AI training.

What It Pays and Takes

This is a part-time contractor role listed as entry level, but it requires professional backend development experience and strong software engineering knowledge. The work requires English and is available in the countries listed for this role.

• Pay: $30 to $100 per hour.
• Time: 20 or more hours per week.
• Work type: Part-time contract.
• Language: English.
• Location: Available in the countries listed for this role.
• Professional backend development experience with Java, Node.js, Go, Rust, TypeScript, Python, C++, or a similar language.
• Experience building scalable services and APIs.
• Strong knowledge of algorithms, data structures, and foundational computer science.
• Experience finding software bugs, system bottlenecks, or performance issues.
• Ability to refactor code and implement complex features in large-scale applications.
• Strong analytical, problem-solving, and technical communication skills.
• Experience designing service or feature test strategies, maintaining large automated test suites, diagnosing flaky tests, improving testing practices, or maintaining CI test pipelines is helpful.
• Public or private work that demonstrates strong software engineering ability is helpful.

About AI Training Work

AI training is the human work behind systems that learn from examples, including code tasks and evaluations. Experienced engineers help define realistic problems and judge whether AI-generated solutions are correct, reliable, and useful.