The work
You will turn hands-on process engineering experience into research-level problems used to test and train AI models. Typical source material may involve reconciling plant or pilot data against design expectations, assessing column, reactor, membrane or utility performance, reviewing guarantee tests and documenting troubleshooting logic.
What AfterQuery screens for
The screen focuses on specific examples of work with real operating or pilot data, rather than purely simulation-based design in Aspen or HYSYS. Working knowledge of Python is required for analysis of your own plant data. A chemical engineering degree, at least three years in operating or pilot plants, performance testing experience and public evidence such as code, a thesis or papers are preferred rather than stated as universal requirements.
Working arrangement
This is remote, independent-contractor work with no fixed weekly schedule. Tasks are described as taking about six hours each, and contributors are expected to work independently, manage their own availability and submit accurate, clear and well-documented work. Prior data annotation, data labeling or AI/ML evaluation experience is preferred, and accepted experts undergo background and identity verification.
Pay band: $50/hr