Computational Engineering Researcher (English)

You will turn computational engineering research into rigorous evaluation tasks for AI models. Each task should test scientific reasoning through methods such as finite-element analysis, fluid dynamics, reaction engineering, physiological modeling, structural analysis, electromagnetics, or aerospace computation.

You will work independently on task design, technical validation, and expert review. You may also review and calibrate tasks submitted by other experts in your engineering field.

• Design original evaluation tasks based on computational work you have personally implemented, run, and debugged.
• Build each task around a main problem and connected subproblems.
• Write a Python reference solution and tests that verify the results.
• Define clear metrics and standards for judging solution quality.
• Explain modeling choices and validate numerical results.
• Revise tasks in response to structured review feedback.
• Optionally review and calibrate tasks from other engineering experts.

This is flexible, remote, independent-contractor work with no fixed weekly schedule. You should be able to develop technically sound tasks independently and explain the computational methods behind them.

• Pay: $100 per hour.
• Approved tasks pay $200 each and take about two hours per task.
• Work arrangement: Remote independent-contractor work with a flexible schedule.
• Location: Open only to candidates in the countries listed for this role.
• Language: Professional fluency in English.
• Education or experience: Research-track bachelor's study or research experience, master's or PhD study, postdoctoral work, or a recent engineering degree with a computational focus.
• Relevant backgrounds include mechanical, aerospace, chemical, biomedical, civil, environmental, and electrical engineering.
• Hands-on experience writing code, preferably Python, to implement or validate engineering models and numerical solvers.
• Must be able to turn real research computations into well-specified tasks with reference solutions and tests.
• Must be authorized to work without visa sponsorship. F-1 students, including OPT and CPT participants, are not eligible.
• Helpful experience includes finite-element or CFD solver development, public code, a thesis, research papers, data annotation, data labeling, or AI and machine-learning evaluation.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training work uses examples and human reviews to help improve artificial intelligence systems. In this role, your engineering knowledge helps create and assess tasks that test whether AI models can solve technical problems accurately.