Materials Science AI Benchmark Lead

Weekday 1; California City (CA); Hybrid; USD 96,000 - 152,000; Full time

Job summary

Weekday 1 is seeking an experienced Materials Science Domain Expert for a hybrid Bay Area role focused on advancing GenAI workflows in materials science. You will evaluate AI-generated outputs, craft instruction specifications, and develop rigorous benchmarks to define high-quality technical reasoning.

This is a full-time, six-month engagement requiring 40 hours per week, with on-site days in the Bay Area. Ideal candidates hold a PhD in Materials Science or related field, with 4+ years of

Qualifications

• PhD in Materials Science, Materials Engineering, or closely related discipline.
• 4+ years of substantive research or industrial R&D in materials science or related field.
• Domain expertise in at least one materials-focused area such as energy storage, semiconductors, polymers, or computational materials science.

Responsibilities

• Review materials science tasks and AI outputs for technical validity and relevance.
• Develop clear instruction specs and reference solutions for materials problems.
• Design evaluation datasets and benchmarks to test scientific reasoning in AI.

Skills

AI Fluency

Materials Science

Technical Feedback

Scientific Reasoning

Education

PhD in Materials Science

Master's degree with exceptional depth

Tools

AI tools

Job description

Weekday 1 is seeking an experienced Materials Science Domain Expert for a hybrid Bay Area role focused on advancing GenAI workflows in materials science. You will evaluate AI-generated outputs, craft instruction specifications, and develop rigorous benchmarks to define high-quality technical reasoning.

This is a full-time, six-month engagement requiring 40 hours per week, with on-site days in the Bay Area. Ideal candidates hold a PhD in Materials Science or related field, with 4+ years of