Remote Materials Science AI Evaluation Specialist

OpenTrain AI, Inc.; United States; Remote; USD 117.000 - 255.000; Teilzeit

Zusammenfassung

OpenTrain AI, Inc. is seeking a Materials Science Expert for a fully remote, part-time contractor role.

You will create and review challenging materials science problems used to train and evaluate AI systems, combining deep materials science knowledge with careful scientific judgment. Responsibilities include designing problems across metals, ceramics, polymers, composites, and related fields, providing clear solutions, and building robust grading criteria.

Qualifikationen

• Master's or PhD in materials science, metallurgy, ceramics, polymers, or closely related field.
• Professional fluency in English.
• Experience in industrial or national laboratory research.
• Deep technical expertise in at least one materials science subdomain.
• Publications or patents are helpful but not required.

Aufgaben

• Design difficult technical problems covering structure–property relationships and materials processing.
• Build realistic scenarios with constraints and data that require more than a textbook answer.
• Provide correct analysis with clear, verifiable reasoning.
• Create objective grading criteria so independent reviewers can agree on outcomes.
• Review others' problems for technical accuracy and proper methods.
• Identify problems that are ambiguous or hard to evaluate.

Kenntnisse

Materials science

English fluency

Analytical judgment

Research experience

Ausbildung

Master's or PhD in materials science or related field

Jobbeschreibung

OpenTrain AI, Inc. is seeking a Materials Science Expert for a fully remote, part-time contractor role.

You will create and review challenging materials science problems used to train and evaluate AI systems, combining deep materials science knowledge with careful scientific judgment. Responsibilities include designing problems across metals, ceramics, polymers, composites, and related fields, providing clear solutions, and building robust grading criteria.