Materials Science and Engineering Expert

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 analysisWrite reference answers with the structure property reasoning behind each decisionGrade model output for technical accuracy and practical feasibilityFlag 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 fieldPractitioners with at least 2 years of professional materials engineering or R&D experienceSpecialists with depth in at least one materials class such as metals, polymers, ceramics, or semiconductorsClear writers who can document the reasoning behind a materials decision Contract and pay $100 to $130/hr, paid weekly via Stripe. Your rate is set from your experience, not negotiated down after you start.Remote, fully async. No fixed hours.Minimum 10 hours per week, no maximum. Scale up or down week to week.No screen recording, no keystroke monitoring, no idle timers.Independent contractor. Ongoing project work rather than single task batches. How our hiring process works Apply at /apply/materials-science-and-engineering-expert. About five minutes. Resume plus a few structured questions.Resume review. Every application gets read against a published rubric and gets a decision.Written assessment. You may be asked to take a written assessment for further placement.Onboarding. Sign the contractor agreement, connect Stripe, and get platform access.Project match. You're matched to live work in your specialty, usually within a week of onboarding. 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.
Responsibilities
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
Required Qualifications
Degree in materials science and engineering or a closely related field
2+ years of professional materials engineering or R&D experience
Depth in at least one materials class such as metals, polymers, ceramics, or semiconductors
Clear written English for documenting materials reasoning
Able to commit at least 10 hours per week
Preferred Qualifications
Advanced degree or peer reviewed publications
Characterization depth such as SEM, XRD, or DSC
Failure analysis or process qualification experience
Why apply
$100 to $130/hr, paid weekly via Stripe
100% remote and fully async
Shape how frontier models reason about materials science
Ongoing project work with hours you set each week

Work arrangement
Yes