About this role
Role Overview
Apply hands-on experimental expertise in inorganic synthesis, superconducting materials, semiconductors, and advanced packaging to create, structure, and evaluate high-quality scientific data used to train and assess advanced AI models for materials science and the physical sciences. Your domain knowledge will directly influence how models reason about materials, devices, and processing.
Key Responsibilities- Provide domain expertise across synthesis, characterization, fabrication, and device physics to produce training and evaluation data.
- Generate and organize experimental procedures, characterization results, and process data into well-structured, model-ready formats.
- Review and evaluate AI-generated scientific reasoning, identify errors, and improve technical accuracy.
- Design and solve expert-level technical problems within your specialization.
- Rate and rank model outputs against defined scientific criteria, providing clear written justification for assessments.
- Deliver reliable, high-quality work on agreed timelines.
- Hands-on experimental experience in one or more areas: inorganic synthesis including solid-state, solution, solvothermal, or sol-gel methods, superconducting materials, or semiconductors and advanced packaging.
- Strong materials or device characterization skills, for example XRD, SEM, TEM, spectroscopy, and electrical or transport measurements.
- Experience with thin-film growth or device fabrication is a plus, including MBE or epitaxy, MOCVD, CVD, sputtering, IBAD, etch processes, and clean-room microfabrication.
- Advanced degree such as PhD or MS, or equivalent hands-on experience in materials science, chemistry, physics, or a related engineering field.
- Clear written English and the ability to explain technical reasoning concisely.
- Engagement type, long-term ongoing engagement.
- Hourly commitment, up to 40 hours per week, with a minimum of 10 hours per week.
- Remote work, candidates must be US-based.
$84 per hour.
Eligibility- Candidates must be located in the United States and able to work remotely within US-based engagement terms.