Materials Science/Engineering Specialist - Freelance AI Trainer Project

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$8-$8/hr From the posting source checked Jun 20, 2026

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Materials Science/Engineering Specialist - Freelance AI Trainer Project Philippines Are you a materials science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for materials science and engineering specialists who live and breathe crystallography, thermomechanical processing, nanomaterials, polymer science, electronic materials, biomaterials, corrosion science, and composite development. You'll challenge advanced language models on topics like phase transformations, microstructure-property relationships, materials characterization techniques (XRD, SEM, TEM), thermal analysis, additive manufacturing, materials failure analysis, and sustainability in materials engineering-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on lab scenarios and theoretical materials science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in materials science, materials engineering, or a closely related physical science field is ideal; peer‑reviewed publications, lab-based testing, product design using advanced materials, or applied research signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your materials science expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8‑to‑$65 per hour, with

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