Role Title: Materials Scientist (Nanoparticle Sizing & Lot Release) Role Type: Contractor Location: Remote micro1 is engaging Materials Scientists (Nanoparticle Sizing & Lot Release) to contribute specialized expertise to a customer’s project focused on advanced nanomaterial…
Process & Chemical Plant Engineer
Remote (Global)
$50/hr
November 11, 2026
Job description
Use your hands-on experience in chemical engineering 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 process and chemical plant engineers who work with real plant and pilot data: the plant and pilot data you reconcile against design, from column, reactor, membrane and utility performance to guarantee tests.
Requirements
- Technical: Working knowledge of Python for working with your own plant data.
Preferred
- Background: 3 or more years in operating plants or pilot plants, with a Bachelor's, Master's or PhD in chemical engineering.
- Hands-on work with real data, rather than pure process-simulation design (Aspen or HYSYS).
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.
Required qualifications
- Hands-on experience working with your own real plant and pilot 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
Why apply
- $300 per approved task (roughly $50 per hour)
- Fully remote and flexible, with no fixed weekly schedule
Apply now
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Mercor is recruiting Atomistic Materials Modelling Experts with strong backgrounds in computational materials science, quantum mechanical simulations, and molecular modelling to support advanced AI research.
Sovrano AI builds evaluation and training data for frontier AI labs, and this project tests how well those models actually reason about chemical engineering.
The research teams behind the best-known AI models come to Mercor for materials science judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.