The work

You will turn hands-on field engineering experience into research-level problems used to test and train AI models. Typical source material includes settlement records, pile and load tests, inspection findings and instrumentation data. Day to day, this means defining technically sound problems, checking calculations and assumptions, documenting expected answers and making each task clear enough for independent evaluation.

What the platform screens for

AfterQuery looks for direct experience interpreting site and monitoring data, rather than design-office experience alone. The technical requirements name working knowledge of Python as required; the qualification summary also describes hands-on analysis in Python or a similar language. Screening may probe how you clean field data, identify unreliable measurements, perform back-analysis, interpret pile load tests and distinguish plausible engineering conclusions from unsupported ones. A public code sample, thesis or paper can help demonstrate this work, while PE or Chartered Engineer status and prior AI evaluation or data annotation experience are preferred rather than required.

Contract logistics

This is fully remote, independent-contractor work with no fixed weekly schedule. Tasks typically take about six hours, and you choose how many to accept, subject to task availability and approval. You must be able to contract without visa sponsorship; students on F-1 visas, including OPT or CPT, are not eligible. Accepted experts complete standard identity and background verification.

The observed compensation is listed by the platform and should not be treated as guaranteed task volume.

Pay band: $50/hr