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OpenTrain AIFor AI Companies

Software Engineering AI Training Expert

Help evaluate and improve AI systems by building reinforcement learning environments for complex software engineering tasks. Work remotely for approximately 15 hours per week, with listed compensation of $50-$100 per hour.

OpenTrain AI

Coding & Software

100% Remote Hourly · $50–$100/hr

$50–$100/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Aug 4, 2026

Posted

Open worldwide

Interested in this role?

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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 credible AI training portfolio, and grow their skills through flexible remote work.

  • Remote contractor engagement
  • Approximately 15 hours per week
  • Work available worldwide
  • English-language role

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create examples, evaluate model outputs, and provide structured feedback that helps modern AI systems become more capable, reliable, and useful. In this role, your software engineering judgment will help assess how AI models solve realistic programming problems.

  • Contribute directly to the development of AI systems
  • Use your existing technical expertise without requiring previous AI experience
  • Work remotely with a flexible, part-time schedule

The Role

OpenTrain is recruiting a Software Engineering AI Training Expert to create reinforcement learning environments that test AI models on complex software engineering challenges. You will build reproducible environments and golden reference solutions for tasks involving code fixes, feature development, refactoring, and performance optimization.

  • Subject matter focus: Software Engineering Model Evaluation
  • Data type: Computer code and programming
  • Work includes model evaluation, rating, and reinforcement learning feedback
  • Contractor and part-time engagement

What You'll Do

You will design realistic evaluation environments and produce expert-level solutions that make software engineering model performance measurable. The work involves analyzing code, solving difficult technical problems, and documenting the reasoning behind effective solutions.

  • Create environments that evaluate AI performance on realistic software engineering challenges
  • Produce expert-level code samples, debugging strategies, and development insights
  • Analyze software defects and performance bottlenecks across diverse codebases
  • Implement scalable and maintainable features
  • Refactor legacy code to improve clarity, efficiency, and reliability
  • Document technical reasoning, solution approaches, and code decisions
  • Review peer-contributed code and technical submissions for accuracy and clarity

Required Skills

This role requires significant hands-on ability to write, debug, and optimize complex software. You should be comfortable applying software engineering principles across challenging codebases and explaining your technical decisions clearly.

  • Strong expertise in at least one of Python 3, Java, Rust, Go, C++, or TypeScript
  • Understanding of algorithms, data structures, scalability, and software engineering best practices
  • Ability to diagnose defects and performance bottlenecks in diverse codebases
  • Experience refactoring legacy systems and improving long-term code reliability
  • Ability to explain technical reasoning, solution approaches, and code decisions clearly
  • Experience delivering high-impact features is valuable
  • Curiosity about AI and its technical challenges is helpful, but previous AI experience is not required

Helpful Ways to Demonstrate Your Expertise

Your practical engineering work can help demonstrate the depth and range of your experience. Relevant evidence may include public projects, shipped software, technical writing, or work across multiple programming languages.

  • GitHub or GitLab work
  • Open-source contributions
  • Deployed applications
  • npm or PyPI packages
  • Technical posts
  • Experience working across multiple programming languages

Compensation and Schedule

This is a remote contractor engagement requiring approximately 15 hours per week. The listed compensation range is $50-$100 USD per hour. The role description also specifies output-based payment for tasks that meet project specifications, with task requirements and acceptance criteria applying.

  • Listed hourly compensation: $50-$100 USD
  • Approximately 15 hours per week
  • Remote and worldwide
  • Payment is tied to tasks meeting project specifications and acceptance criteria

Build Your AI Training Career

OpenTrain helps you turn specialized AI training work into a durable freelance portfolio. Create a free account to manage your opportunities, showcase credible technical experience, and find projects that match your skills as the AI training industry continues to grow.

  • Build a profile around your software engineering expertise
  • Discover AI training projects in one place
  • Apply to opportunities in minutes
  • Grow a long-term portfolio of technical AI training work

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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