Scientific Computing and Engineering AI Task Expert

You will turn real engineering workflows into terminal-based tasks that AI agents can complete and be evaluated against. Work may involve mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, or control systems engineering.

• Design multi-step scientific and engineering tasks and create datasets, simulation inputs, geometry files, sensor data, design constraints, and configuration files.
• Develop expert solutions with Python, C or C++, Julia, MATLAB or Octave, Bash, or comparable engineering software.
• Build reproducible, containerized environments with fixed dependencies.
• Create automated tests and grading criteria for units, physical constraints, tolerances, convergence, stability, boundary conditions, and numerical behavior.
• Debug solver, dependency, workflow, precision, and performance issues, then document assumptions, expected outputs, and edge cases.

What it pays and takes

This is a remote contractor assignment lasting five weeks. The work is conducted in English.

• Pay: $300 per approved task.
• Time: 20+ hours per week, with at least six hours per day and four hours of overlap with Pacific Time.
• Required background: A Ph.D., postdoctoral experience, or equivalent advanced technical experience in an engineering discipline.
• Required skills: Strong scientific programming in Python, C or C++, Julia, MATLAB or Octave, Bash, or a comparable language.
• Required experience: Linux or terminal-based environments, engineering simulation, modeling, numerical analysis, optimization, signal processing, control systems, or technical data analysis.
• Required knowledge: Numerical methods, engineering units, physical constraints, and technical validation.
• Important experience: Building, debugging, and validating reproducible computational workflows.
• Helpful experience: Scientific libraries, engineering tools, containerization, version control, automated testing, or technical benchmarks.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find this role and begin the application.

About AI training work

AI training uses examples, tests, and human review to improve how artificial intelligence systems work. This role focuses on creating realistic engineering tasks and objective checks so AI agents can be evaluated on technical accuracy, numerical behavior, and reproducibility. OpenTrain helps people find and build careers in this growing field.