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Materials Science Expert for AI Evaluation

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Materials Science Expert for AI Evaluation

Use advanced materials science and engineering expertise to evaluate AI-generated technical responses, solve complex problems, and improve AI reasoning. This remote contractor role pays $80-$130 per hour and is expected to last 3 to 6 months.

OpenTrain AI

Generative AI & RLHF

Remote Hourly · $80–$130/hr

$80–$130/hr

Compensation

8 countries

Eligibility

Expert

Experience

Sep 12, 2026

Posted

Open to applicants in

United States United Kingdom Ireland Canada Australia Germany New Zealand India

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 people discover meaningful projects, build their profiles, and apply in minutes.

This contractor opportunity places your materials science expertise at the center of how advanced AI systems are evaluated and improved. Creating an OpenTrain account is free.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts review model outputs, write and assess technical answers, and provide structured feedback that helps AI systems become more accurate, useful, and reliable.

This work is part of a fast-growing technology field. Remote contributors can apply their professional knowledge to cutting-edge AI projects while working with distributed teams.

The Role

OpenTrain AI is seeking a Materials Science Expert contractor to evaluate and solve advanced materials science and engineering problems. You will assess AI-generated technical responses for correctness, accuracy, and engineering quality while applying practical judgment to real-world and theoretical scenarios.

The project is remote, requires professional English proficiency, and is expected to run for 3 to 6 months. Candidates must be based in the United States, United Kingdom, Ireland, Canada, Australia, Germany, New Zealand, or India.

  • Role type: Contractor
  • Location: Remote
  • Expected project duration: 3 to 6 months
  • Hourly pay range: $80-$130 USD
  • Listed hourly rate: $100 USD
  • Working language: English

What You'll Do

You will contribute expert evaluation and clear explanations across materials selection, failure analysis, testing, and process development. Your feedback will help refine AI reasoning in materials science and engineering.

  • Evaluate and solve advanced materials science and engineering problems.
  • Review AI-generated technical responses for correctness, accuracy, and engineering quality.
  • Apply engineering judgment to materials selection, failure scenarios, and theoretical questions.
  • Analyze materials issues using microstructural analysis, fractography, tensile testing, fatigue testing, and hardness testing.
  • Use thermodynamic and kinetic modeling to troubleshoot materials problems.
  • Apply expertise in materials science and engineering to inform model improvements.
  • Document feedback and provide clear written and verbal explanations.
  • Collaborate remotely with a distributed team of experts and project participants.

Required Qualifications

This is an expert-level opportunity for candidates with substantial academic and hands-on materials experience. You should be able to evaluate technical reasoning rigorously, explain root causes clearly, and connect material behavior to test data and processing conditions.

  • Bachelor's degree or higher in Materials Science and Engineering, Metallurgy, or Mechanical Engineering or Chemical Engineering with a materials specialization.
  • At least 3 years of hands-on experience in materials selection, failure analysis, testing, or process development.
  • Expert knowledge of metals, polymers, ceramics, and composites.
  • Strong understanding of microstructure-property relationships and degradation or failure mechanisms.
  • Demonstrated ability to analyze root-cause failures using fractography, metallography, and mechanical or thermal test data.
  • Familiarity with ASTM, ASM, and ISO materials standards and process qualification requirements.
  • Professional and fluent English proficiency.
  • Exceptional written and verbal communication skills.

Preferred Experience and Recognition

Experience with materials characterization equipment or process development in a manufacturing environment is a plus. The role also strongly prefers evidence of rigor in authoring or evaluating challenging technical problems.

  • Experience with SEM, XRD, TEM, DSC, or TGA equipment.
  • Process development experience in a manufacturing environment.
  • Service on an olympiad problem committee.
  • Author credit for a textbook problem set or solutions manual.
  • Item-writer experience for an NCEES or academic qualifying-exam committee.
  • Service on an ASTM, ASM, or ISO materials standards committee.
  • Top placement or team-lead experience in the TMS Materials Bowl, ASM International undergraduate design competition, or an MRS student award.
  • Best-paper award at TMS Annual Meeting, MS&T, or MRS.
  • Publication in Acta Materialia or Nature Materials.
  • Acta Materialia Silver Medal.
  • Early-career fellowship or grant such as NSF CAREER, DOE Early Career, or Sloan Fellowship.
  • TMS Young Leader or MRS Outstanding Young Investigator recognition.

Who Should Apply

Apply if you are an experienced materials scientist, metallurgist, or materials-focused engineer who enjoys solving difficult technical problems and explaining why an answer is correct or incorrect. Your expertise may be especially relevant if you have worked across materials characterization, failure investigation, testing, manufacturing, or process qualification.

  • Materials science and engineering experts
  • Metallurgists
  • Mechanical or chemical engineers with a materials specialization
  • Professionals experienced in materials failure analysis and characterization
  • Experts comfortable evaluating technical AI responses in English

How to Apply

Create a free OpenTrain account, build your profile around your materials science and engineering expertise, and apply in minutes. Be sure to highlight relevant degrees, hands-on experience, characterization methods, standards knowledge, publications, awards, and other evidence of technical problem-authoring or evaluation rigor.

  • Confirm that you are based in an eligible country.
  • Showcase your materials science or engineering background.
  • Include relevant failure analysis, testing, modeling, or process development experience.
  • Describe any qualifying publications, awards, standards work, or technical problem-authoring experience.

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