Materials Science and Engineering AI Task Author

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts contributors for specialized projects, helping technical professionals build a credible AI training portfolio and find work that matches their expertise.

• Create a profile and apply through OpenTrain
• Build experience in a rapidly growing AI training industry
• Work remotely with a flexible freelance arrangement

About AI Training and Model Evaluation

AI systems improve through examples and expert feedback. In this role, you will help evaluate how well models reason through authentic engineering problems by creating realistic prompts, supporting information, and objective grading approaches.

This work sits at the cutting edge of AI development. Your technical judgment helps clarify what high-quality engineering reasoning looks like and gives models more meaningful signals for improvement.

• Design tasks based on real professional engineering work
• Evaluate model-generated answers and reasoning
• Help make technical performance consistent and objectively scorable

The Role

OpenTrain is seeking a Materials Science and Engineering AI Task Author to create expert-level evaluations of model reasoning. The role combines deep technical judgment with the design, testing, and refinement of AI evaluation tasks across materials science, electrical engineering, and mechanical engineering.

The work is remote and freelance, with a default commitment of 40 hours per week. Daily onboarding sessions and multiple office hours are available to support your work.

• Compensation: $60-$90 per hour
• Work arrangement: Remote
• Engagement: Contractor and part-time
• Default commitment: 40 hours per week
• Language: English
• Data format: Text

What You'll Do

You will translate authentic technical experience into challenging, realistic tasks that reveal how AI models approach engineering problems. You will also test those tasks, study model performance, and refine the evaluation design until it meaningfully distinguishes strong and weak reasoning.

• Author domain-authentic tasks based on work you have actually performed
• Create data rooms and grading criteria for consistent, objective evaluation
• Run tasks against AI models and analyze successful and unsuccessful reasoning
• Refine tasks until they discriminate effectively between response quality levels
• Collaborate with project leads and other technical experts
• Define what high-quality engineering work looks like
• Explain the correct answer and the reasoning behind incorrect answers

Required Expertise

The project metadata classifies this opportunity as entry level, but the role description requires senior expertise in at least one of the listed engineering areas. Candidates should be able to make technically sound judgments even when requirements are ambiguous or still evolving.

• Senior expertise in materials science, electrical engineering, or mechanical engineering
• Materials science knowledge in areas such as metals, ceramics, composites, characterization, or additive manufacturing
• Electrical engineering knowledge in analog, RF, or power, or mechanical engineering knowledge in design, CFD and fluids, heat transfer, pressure vessels, NDE, or CAE
• Experience translating authentic engineering work into realistic technical tasks
• Ability to create objective grading criteria for AI model responses
• Ability to analyze technical reasoning and explain why an answer is correct or incorrect
• Strong technical communication skills
• Comfort shaping evaluation requirements in ambiguous or evolving situations

Who Should Apply

This opportunity is designed for an engineering professional who can combine subject-matter expertise with careful evaluation design. It may be a strong fit if you have performed the kinds of materials science, electrical engineering, or mechanical engineering work represented in the tasks and can clearly explain both conclusions and reasoning.

• Materials scientists with practical experience in relevant technical areas
• Electrical engineers experienced in analog, RF, or power work
• Mechanical engineers experienced in design, CFD, fluids, heat transfer, pressure vessels, NDE, or CAE
• Technical experts who can turn professional workflows into realistic AI evaluations
• Clear communicators who can assess answers and explain errors precisely

How to Get Started with OpenTrain

Create a free OpenTrain account, build your technical profile, and apply in minutes. If selected, you will receive support through daily onboarding sessions and multiple office hours as you begin authoring and evaluating engineering AI tasks.

• Create your free OpenTrain profile
• Showcase your materials science, electrical engineering, or mechanical engineering expertise
• Apply for this remote freelance opportunity
• Use onboarding and office hours to get started