Website:
curvia.ai
Job details:
Company Description: Curvia AI is a London, UK-based technology and AI solutions company that transforms complexity into opportunity through enterprise solutions, AI-powered automation, and data-driven insights. We build practical, scalable, and human-centred technology grounded in integrity, security, and responsible innovation.
Role Overview
We are staffing a frontier AI initiative that requires strong Engineering experts to develop realistic, terminal-based scientific and technical tasks used to train and evaluate AI agents.
The work involves translating authentic engineering workflows into reproducible computational tasks that test modeling, simulation, optimization, data processing, debugging, and technical validation. The role spans disciplines including mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, and control systems engineering.
Offer Details:
Compensation :US $300/ Approved Task (6 hours AHT per task)
Commitments Required: Full-time. 40 hours per week with 4 hours PST overlap per day
Employment type: Contractor
Mode of Work: Fully Remote
Number of positions: 50
What we're looking for:
- Ph.D., postdoctoral experience, or equivalent advanced technical experience in an Engineering discipline such as mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, or control systems.
- Strong scientific programming skills in Python, C/C++, Julia, MATLAB/Octave, Bash, or another relevant language.
- Hands-on experience working in Linux or terminal-based environments.
- Experience with engineering simulation, modeling, numerical analysis, optimization, signal processing, control systems, or technical data analysis.
- Strong understanding of numerical methods, engineering units, physical constraints, boundary conditions, and technical validation.
- Ability to build, debug, and validate reproducible computational engineering workflows.
Nice to have:
- Experience with scientific libraries such as NumPy, SciPy, pandas, matplotlib, SymPy, or PyTorch.
- Familiarity with engineering tools such as OpenFOAM, CalculiX, FEniCS, ROS, LTspice-compatible workflows, QEMU, or similar software.
- Experience with finite-element methods (FEM), computational fluid dynamics (CFD), robotics, embedded systems, control systems, or digital twins.
- Familiarity with Docker, Git, CI/CD, automated testing, or HPC environments.
- Experience developing technical benchmarks, programming tasks, simulation-based evaluations, or automated graders.
- Experience evaluating AI coding or terminal agents or working in research software engineering.
- Publications, patents, open-source contributions, or industry experience involving computational engineering.
What you'll do:
- Design realistic, multi-step terminal tasks based on real-world engineering and scientific workflows.
- Create engineering datasets, simulation inputs, geometry files, sensor data, design constraints, and configuration files.
- Develop expert solutions using Python, C/C++, Julia, MATLAB/Octave, Bash, or relevant engineering software.
- Build reproducible, containerized environments with appropriate engineering tools and pinned dependencies.
- Develop tasks involving simulation, numerical analysis, optimization, control systems, signal processing, finite-element concepts, CAD-related data, and engineering design.
- Create automated tests and objective grading criteria that validate engineering correctness, including units, physical constraints, tolerances, convergence, stability, boundary conditions, and numerical behavior.
- Debug solver, dependency, workflow, precision, and performance issues and clearly document assumptions, requirements, expected outputs, and edge cases.
Click on Apply to know more.
