Full Stack AI Training Developer

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 grow experience in a fast-moving field.

Creating an OpenTrain account is free. In this contract role, you will contribute directly to the development of training and evaluation resources used to improve advanced AI systems.

About AI Training Work

AI training is the human side of building artificial intelligence. Software professionals help prepare and evaluate examples that teach models to write, debug, reason about, and improve code.

This work offers remote flexibility and the opportunity to shape how cutting-edge AI systems handle real-world engineering problems.

The Role

OpenTrain is recruiting a Full Stack AI Training Developer to create reinforcement learning environments that test how AI models solve frontend, backend, and integration problems. You will turn realistic software challenges into reproducible environments with golden reference solutions, contributing code and technical reasoning that support accurate model evaluation and higher-quality AI training data.

This is a part-time contractor role open worldwide. The expected commitment is 20 or more hours per week, and work is conducted in English.

• Contractor position
• Part-time engagement
• Worldwide opportunity
• 20+ hours per week
• English-language work
• $65–$120 USD per hour

What You'll Do

You will work across the full software stack, creating realistic technical tasks and documenting the reasoning behind strong solutions. Your work will help establish clear standards for evaluating model-generated code and technical decisions.

• Design reinforcement learning environments for full-stack software problems.
• Build reproducible environments and golden reference solutions for model evaluation.
• Create code samples and share debugging approaches using JavaScript, TypeScript, Python, Java, or Go.
• Investigate and resolve defects spanning user interfaces, backend services, APIs, databases, and application logic.
• Develop small to medium features end to end using sound coding and maintainability practices.
• Refine frontend and backend code for consistency, clarity, and long-term maintainability.
• Document implementation approaches, technical reasoning, and code decisions for AI training data quality.
• Review peer-contributed code and technical submissions for correctness, clarity, and alignment with the intended solution.

Required Skills and Experience

This role is listed at the entry level and requires at least one year of hands-on experience building both frontend and backend applications. You should be comfortable explaining your implementation decisions and debugging issues across multiple layers of a software system.

• At least one year of hands-on full-stack application development experience.
• Practical experience with a frontend framework such as React, Vue, or Angular.
• Experience with a backend stack such as Node/Express, Python with Django or Flask, Java with Spring, or a similar technology.
• Strong understanding of communication between frontend and backend systems through APIs.
• Ability to debug problems involving the interface, application logic, APIs, and underlying data layer.
• Clear technical writing and communication skills.
• Familiarity with JavaScript or TypeScript, Python, Java, or Go.

Helpful Background and Application Details

Prior AI experience is not required, although interest in AI and its technical challenges is useful. A portfolio of full-stack projects can help demonstrate your engineering judgment, particularly GitHub or GitLab repositories showing thoughtful problem solving.

AI training and data-labeling work can help technical professionals build a visible portfolio while contributing to the systems shaping modern artificial intelligence. Apply through OpenTrain to be considered for this contract opportunity.

• A portfolio of full-stack projects is helpful.
• GitHub or GitLab repositories demonstrating thoughtful problem solving are welcome.
• No prior AI experience is required.