JavaScript TypeScript AI Evaluation Developer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this remote 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.

Creating an OpenTrain account is free, and your profile can help you showcase credible experience as you grow in the rapidly expanding AI training industry.

• Remote contractor opportunity
• Part-time engagement with a 20+ hour weekly commitment
• Work in English
• Open to applicants worldwide

About AI Training and Model Evaluation

AI training is the human side of building modern artificial intelligence. Developers and evaluators prepare examples, review model behavior, rank responses, and provide feedback that helps AI systems become more accurate, useful, secure, and reliable.

This role combines software engineering with generative AI evaluation, supervised fine-tuning dataset creation, and reinforcement learning with human feedback. Your technical judgment will contribute directly to the improvement of commercial and research AI systems.

• Help assess and improve cutting-edge AI systems
• Apply software development expertise to model training workflows
• Contribute to flexible, remote work in a fast-growing technology field

The Role

OpenTrain AI is recruiting a JavaScript and TypeScript AI Evaluation Developer for remote contractor work. You will write and maintain production-quality code while benchmarking AI models, evaluating generated responses, developing datasets, and supporting model and reward-model improvements.

The role is listed at entry level, while the requirements call for extensive JavaScript or TypeScript development experience and strong modern web engineering practices. A commitment of 20+ hours per week is required.

• Employment type: Contractor and part-time
• Time requirement: 20+ hours per week
• Primary language: English
• Work location: Worldwide and fully remote

What You'll Do

You will combine hands-on development with structured AI evaluation. Clear reasoning, careful technical analysis, and consistent application of predefined criteria will be important across coding and model-review tasks.

• Design, develop, and maintain efficient JavaScript or TypeScript code used to train and optimize AI models
• Benchmark model performance, analyze evaluation results, and identify opportunities for improvement
• Evaluate and rank AI-generated responses against predefined criteria
• Write clear technical rationales for response rankings and evaluations
• Create improved responses for clarity, relevance, and accuracy
• Create task-specific supervised fine-tuning datasets
• Collaborate on reinforcement learning with human feedback and reward-model refinement
• Review code and documentation for quality, readability, security, and stability
• Work with cross-functional teams on model and product improvements

Required Skills and Qualifications

You should be an experienced JavaScript or TypeScript developer who can produce secure, readable, reusable, maintainable, and well-tested code. Strong spoken and written English communication is expected because the work involves technical rationales, evaluation criteria, documentation, and constructive collaboration.

A bachelor's or master's degree in Engineering or Computer Science is accepted, along with equivalent experience.

• Extensive JavaScript or TypeScript development experience
• Strong knowledge of JavaScript ES6 syntax and conventions
• Practical experience with Node.js, Nest.js, React, Vue, Angular, or a comparable modern web framework
• Ability to build web applications with modular patterns and scalable architectures
• Ability to evaluate and rank AI model responses against defined criteria
• Ability to provide clear technical rationales
• Experience creating secure, readable, reusable, maintainable, and testable code
• Docker familiarity
• Strong spoken and written English communication
• Constructive code review skills

Helpful Background

The following experience is helpful for contributing effectively, though it is presented as additional background rather than a required qualification.

• Software quality assurance
• Test planning
• AI model evaluation
• Dataset development
• Supervised fine-tuning
• Reinforcement learning with human feedback

Build Your AI Training Career

Every major AI system depends on people who prepare data, assess outputs, and provide high-quality feedback. By combining software development with model evaluation, you can contribute to how state-of-the-art AI systems are built and improved.

OpenTrain helps contributors build careers in this field by bringing opportunities together, supporting professional profiles, and making it easier to apply for projects that match their skills. Apply through OpenTrain to begin building experience in AI training and data labeling.

• Work remotely with a computer and internet connection
• Apply technical expertise to real AI development workflows
• Build a portfolio of AI training and evaluation experience
• Create an OpenTrain account for free