Materials Science Domain Expert

This role is for one of our clients

Compensation: $70 - $110 per hour

We are seeking an experienced Materials Science Domain Expert to contribute to an advanced GenAI initiative focused on improving how AI systems understand, reason about, and solve complex materials science and materials engineering problems.

Your technical expertise will be central to this role. You will evaluate materials science knowledge tasks and AI-generated outputs, develop detailed instructions and reference solutions, and create rigorous benchmarks that define what high-quality technical reasoning looks like.

We are looking for a hands-on materials specialist with deep expertise in a specific area of materials science or engineering, rather than a broad generalist.

This is a full-time engagement requiring 40 hours per week for an initial six-month period
. You will collaborate closely with research and program teams and work within established technical workflows and enterprise tools.

Location: Hybrid role based in the Bay Area, California
. Candidates must currently live in the Bay Area and be available to work on-site multiple days per week when required. This is not a fully remote position. Candidates outside the Bay Area must be willing to relocate at their own expense before the engagement begins. Relocation assistance is not provided.

• Review and assess materials science knowledge tasks and AI-generated technical outputs for accuracy, depth, scientific validity, and practical relevance.
• Identify incomplete reasoning, unsupported structure-property relationships, incorrect technical assumptions, and conclusions that may appear convincing but fail expert-level scrutiny.
• Evaluate whether AI-generated solutions align with established scientific principles, engineering practices, and real-world materials workflows.

• Write clear and comprehensive instruction specifications that define expected approaches and outcomes for materials science problems.
• Develop high-quality reference or "golden" solutions for complex materials science and engineering scenarios.
• Create new technical tasks that accurately reflect how materials scientists and engineers approach real-world research, development, characterization, and optimization challenges.

• Design challenging materials science tasks and evaluation datasets that test scientific reasoning and technical expertise.
• Contribute to the development of materials-specific benchmarks, capabilities, and evaluation tools.
• Establish meaningful criteria for assessing AI performance across different materials science and engineering applications.

• Collaborate with researchers and subject matter experts from related scientific and engineering disciplines.
• Help maintain consistency and accuracy across evaluation standards and technical datasets.
• Translate practical materials science expertise and professional judgment into explicit, structured, and teachable evaluation criteria.
• Provide precise written feedback to improve the technical quality and reliability of AI-generated solutions.

• Education: PhD in Materials Science, Materials Engineering, or a closely related discipline such as Chemistry, Chemical Engineering, Applied Physics, Metallurgy, or a related technical field.
• A Master's degree with exceptional industrial or research depth may be considered for highly experienced candidates.
• Experience: At least 4 years of substantive research or industrial R&D experience in materials science, materials engineering, or a closely related field.
• Relevant experience may come from a research university, national laboratory, industrial research organization, or materials-focused technology company.
• Graduate coursework or academic training alone does not satisfy the professional experience requirement.
• Domain Expertise: Demonstrated specialization in at least one materials-focused area, such as:
• Energy storage and battery materials
• Semiconductors and electronic materials
• Polymers and soft matter
• Structural alloys and metallurgy
• Materials characterization and microscopy
• Computational materials science and simulation
• Nanomaterials and advanced materials
• Functional or engineered materials
• Seniority: Demonstrated progression into a senior technical or research position, such as Senior Scientist, Staff Scientist, Research Lead, Principal Investigator, or senior industrial R&D…