Chemistry And Materials Science AI Workflow Reviewer

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 opportunities, build a professional profile, and grow their experience in a rapidly developing field.

Creating an OpenTrain account is free, and this contract role offers a way to apply specialized scientific knowledge to the development of advanced AI systems.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create examples, review model outputs, explain decisions, and identify limitations so AI systems can become more accurate and useful.

In this role, your scientific judgment will help evaluate AI coding agents working on complex chemistry and materials science problems. Your feedback and documentation will contribute to training materials, datasets, and case studies for STEM-focused AI workflows.

The Role

OpenTrain AI is seeking a Chemistry and Materials Science AI Workflow Reviewer to develop high-quality training data from authentic scientific workflows. You will explain how AI coding agents support chemistry and materials science work, assess the quality and limitations of their output, and translate complex technical experiences into useful examples for improving AI systems.

This is a remote, part-time contractor opportunity requiring 20+ hours per week. Compensation is $80–$100 USD per hour.

• Work arrangement: Remote and worldwide
• Employment type: Contractor, part time
• Time requirement: 20+ hours per week
• Compensation: $80–$100 USD per hour
• Primary language: English

What You'll Do

You will produce detailed, data-rich insights grounded in real chemistry or materials science practice. Your work will combine scientific expertise, technical evaluation, clear documentation, and verbal feedback.

• Document large codebase navigation, difficult debugging, feature development, and architectural changes
• Describe ambiguous scientific problems, including methods, decisions, technical challenges, and outcomes
• Evaluate where AI coding agents are effective and where their output is limited
• Provide practical recommendations for training AI systems in STEM contexts
• Create datasets, training materials, and case studies reflecting real chemistry and materials science workflows
• Share expertise through clear written documentation and verbal feedback sessions
• Direct, review, test, and validate AI-assisted work across multistep technical workflows

Required Qualifications

An advanced degree or equivalent professional experience is required in chemistry, materials science, chemical engineering, or a closely related STEM discipline. This opportunity is categorized as entry level within AI training, but it requires substantial subject-matter expertise and hands-on experience with scientific AI coding workflows.

• Advanced degree or equivalent professional experience in chemistry, materials science, chemical engineering, or a related STEM field
• Hands-on experience using Codex, Claude Science, Claude Code, Claude Cowork, or comparable AI coding agents in scientific work
• Experience navigating complex codebases, debugging difficult issues, developing features, or making architectural changes
• Ability to evaluate, test, and validate AI-generated technical work
• Ability to explain process decisions across multistep technical workflows
• Strong technical writing, verbal communication, analytical reasoning, and critical-thinking skills

Helpful Background

Experience evaluating or introducing AI-powered workflows in scientific research or industrial environments can help you produce stronger training examples. Familiarity with computational chemistry, materials modeling, laboratory automation, or other complex scientific codebases is also valuable.

Experience solving ambiguous technical problems, developing end-to-end features, and communicating how AI tools affected productivity can further support success in this role.

Why Work With OpenTrain

AI training and data-labeling work is a fast-growing way to participate in technology. Contributors with specialized expertise help shape how state-of-the-art AI systems reason, generate content, write code, and support professional workflows.

OpenTrain helps you build a durable AI training portfolio by giving you one place to manage your experience, show credible work, discover opportunities that match your skills, and develop a long-term career in the field.

• Apply your chemistry or materials science expertise to cutting-edge AI development
• Work remotely with a flexible part-time schedule
• Build experience in AI evaluation, training data, and scientific workflow analysis
• Turn specialized project work into a stronger professional portfolio