Materials Engineer - AI Trainer (Remote)
Apply NowFully remote. Open to candidates anywhere in the United States. Independent contract, $100-$130/hour, fully async with no fixed hours.
Materials scientists and engineers to build the selection and failure analysis scenarios frontier AI labs use to test model judgment.
AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring materials scientists and engineers as contractors to author and grade the selection and failure analysis scenarios those evaluations run on.
What you'll actually do
- Author realistic materials scenarios, from selection through failure analysis
- Write reference answers with the structure property reasoning behind each decision
- Grade model output for technical accuracy and practical feasibility
- Flag recommendations that read plausible but would fail in service
Who this is for
- Scientists and engineers with a degree in materials science and engineering or a closely related field
- Practitioners with at least 2 years of professional materials engineering or R&D experience
- Specialists with depth in at least one materials class such as metals, polymers, ceramics, or semiconductors
- Clear writers who can document the reasoning behind a materials decision
About AfterQuery
AfterQuery is an expert data lab. We build the evaluation and training data that frontier AI labs use to measure what their models can and can't do in real professional work. Our contributors are practicing professionals, not annotators, and the work is credited, reviewed, and paid at professional rates.