Inorganic Materials and Device Evidence Evaluator

This IXO track examines scientific reasoning about how materials are made, measured and used in devices. You will turn practical experimental knowledge into challenging tasks, check the evidence behind AI-generated explanations, and identify where an interpretation exceeds what the measurements establish.

Work you will do

• Develop specialist problems and solutions about synthesis, materials characterization, fabrication or device physics.
• Evaluate and rank scientific outputs against explicit criteria, recording errors and explaining the appropriate correction.
• Structure experimental procedures, characterization findings and process data into coherent evaluation material.
• Check whether proposed conclusions are consistent with the technique, sample context and limits of the underlying evidence.

Preferred background

• Advanced degree or equivalent hands‑on materials, chemistry, physics or related engineering experience.
• Experimental expertise in one or more routes: solid‑state/solution/solvothermal/sol‑gel inorganic synthesis; superconductors; semiconductors and advanced packaging.
• Strong characterization skills using XRD, SEM, TEM, spectroscopy or electrical/transport measurements.
• Thin‑film growth or fabrication experience, including relevant MBE/epitaxy, MOCVD/CVD, sputtering, IBAD, etch or clean‑room methods, is a plus.
• Clear written English and concise scientific explanations.

Deliverables

Technical problems, reasoned evaluations and structured experimental‑evidence packages appropriate for AI training and assessment.

Location and schedule

Remote; United States residence applies to this track. Indicative availability is 10–40 hours a week. The actual schedule, volume and duration are agreed before work.

Pay and working terms

$89/hr USD. IXO will agree the assignment scope, hourly rate, schedule and acceptance criteria before work begins. Work is a paid remote expert engagement; applying does not guarantee an assignment. Use only public, licensed or otherwise authorized material. Do not provide confidential employer information, personal data or restricted research.