Materials Characterisation Scientist

Use your hands-on experience in materials science, metallurgy or a related field to write research-level problems for AI models. Remote, flexible contract work.

AfterQuery works with leading AI labs to build the expert data that tests and trains AI models. We're looking for materials characterisation scientists and engineers who work with characterisation data: the XRD, indentation, impedance, corrosion, rheology and battery cycling data you analyze.

Requirements

• Technical: Working knowledge of Python for analyzing your own instrument data.

Preferred

• Background: a Master's or PhD in materials science, metallurgy or a related field, with lab characterisation work.
• Hands-on work with real data, rather than pure simulation (DFT or molecular dynamics) or sales or applications roles.

Contract and pay

Flexible, independent-contractor work: $300 per approved task, about 6 hours each (roughly $50 per hour), with no cap on how many tasks you take on.

All accepted experts undergo standard background and identity verification.

Responsibilities

• Write research-level problems in your area of expertise
• Work independently and manage your own time
• Keep your work accurate, clear and well documented

Required qualifications

• Hands-on experience working with your own characterisation data in Python or a similar language
• Able to write clearly about technical work in your field
• Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

• Master's or PhD in materials science, metallurgy or a related field, with lab characterisation work
• Operate instruments and analyze your own data (for example Rietveld, Oliver-Pharr or EIS fitting); knowledge of ASTM test standards; analysis scripts
• Public code, a thesis or papers that show your technical work
• Prior experience in data annotation, data labeling or AI/ML evaluation work

Why apply

• $300 per approved task (roughly $50 per hour)
• Fully remote and flexible, with no fixed weekly schedule