Materials Science AI Evaluation Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled contributors with projects that help improve modern AI systems, while giving you a place to build a lasting professional profile and apply in minutes.

OpenTrain AI is hiring and contracting for this remote opportunity. Creating an OpenTrain account is free, and your profile can help showcase your experience across specialized AI training work.

• Remote contractor opportunity
• Part-time schedule of 20+ hours per week
• Work available in Australia, Canada, Germany, New Zealand, the United Kingdom, and the United States

About AI Training Work

AI training is the human side of building artificial intelligence. Experts review model outputs, create high-quality examples, and provide detailed feedback so AI systems can reason more accurately and communicate more clearly.

In this role, your materials science expertise will help evaluate whether AI-generated explanations are scientifically correct, physically plausible, technically useful, and appropriate for the requested task.

• Contribute to the development of cutting-edge AI systems
• Use specialist knowledge to improve technical model behavior
• Complete flexible, remote work with a computer and internet connection

The Role

OpenTrain is seeking a Materials Science AI Evaluation Expert to support AI training focused on materials science. You will review AI-generated explanations and create reference content that demonstrates accurate scientific reasoning, clear terminology, sound engineering judgment, and practical interpretation.

The work spans metals, ceramics, polymers, composites, nanomaterials, processing, phase diagrams, and characterization. The listed experience level is entry level, while the role requires substantial relevant education or professional experience in the field.

• Employment type: Contractor and part time
• Data type: Text
• Language: English
• Time requirement: 20+ hours per week
• Advertised pay: $60 to $95 per hour, with rates up to $95 per hour

What You'll Do

You will create and assess technical text used to teach AI how materials scientists and engineers reason about structure, processing, properties, performance, and failure. Reviews should apply consistent criteria and communicate detailed judgments in writing.

• Create prompts, reference answers, rewrites, and corrective feedback about materials science
• Evaluate and compare model responses for scientific correctness and engineering logic
• Check clarity, unit consistency, physical plausibility, and adherence to the requested task
• Identify unsupported material properties and misleading processing or performance claims
• Detect flawed phase diagrams and incorrect microstructure reasoning
• Flag unsafe recommendations
• Apply consistent review criteria across technical content
• Communicate detailed evaluations and reasoning in written form

Technical Evaluation Focus

The role requires careful assessment of calculations, diagrams, experimental interpretations, units, terminology, assumptions, and design tradeoffs. You will evaluate whether technical claims are supported by sound materials science and whether proposed explanations match real engineering behavior.

• Assess phase diagrams and phase fractions using the lever rule
• Diagnose microstructure and toughness issues in heat-treated steels
• Explain precipitation hardening and overaging in aluminum alloys
• Evaluate polymer, ceramic, and composite failure mechanisms
• Verify units, characterization methods, engineering assumptions, and materials-claim plausibility

Requirements

Applicants should have a bachelor's degree or higher in materials science, materials engineering, mechanical engineering, chemical engineering, metallurgy, polymer science, nanotechnology, or a related field, or equivalent professional experience.

At least three years of relevant experience is required. Relevant backgrounds may include research, engineering, laboratory work, manufacturing, teaching, technical writing, academic review, or related scientific work. Experience with scientific quality assurance, engineering review, technical content review, or rubric-based evaluation is preferred.

• Deep knowledge of structure-property relationships and crystal structures
• Strong understanding of phase diagrams, mechanical behavior, and heat treatment
• Knowledge of polymers, ceramics, metals, composites, corrosion, and characterization techniques
• Strong English communication skills
• Careful attention to detail
• Ability to assess calculations, diagrams, experimental interpretations, units, terminology, assumptions, and design tradeoffs

Who Should Apply

This opportunity is suited to materials scientists, materials engineers, metallurgists, polymer specialists, nanotechnology professionals, and related engineers or scientific reviewers who can explain complex concepts precisely and identify subtle technical errors.

It may be a strong fit if you enjoy technical review, scientific writing, engineering judgment, and helping AI systems produce more reliable explanations.

• Materials science or materials engineering professionals
• Researchers and laboratory specialists
• Engineers with relevant metals, polymers, ceramics, or composites experience
• Manufacturing or heat-treatment professionals
• Technical writers, educators, or academic reviewers with deep materials expertise

How to Work With OpenTrain

AI training and data-labeling work is one of the fastest-growing ways to work in tech. Specialists contribute directly to how advanced AI systems understand technical subjects, evaluate evidence, and respond to real-world questions.

Create your free OpenTrain account, build a profile that reflects your materials science background, and apply for this opportunity in minutes. Your OpenTrain profile can also support a longer-term portfolio of AI training work.

• Create or update your free OpenTrain profile
• Highlight your materials science education and experience
• Apply through OpenTrain for this contractor opportunity
• Build experience in specialized AI evaluation and training