Other open roles
Scientific Computing / Research Engineering Expert — Engineering
Work Expert (WE) is an independent publishing and referral website. We are not a recruiter, hiring manager, agent or employer, and we are not affiliated with or endorsed by Turing. Applying takes you to the platform's own website, where we may be recorded as the referring source. We may receive a referral fee at no additional cost to you. Read our full affiliate disclosure →
Apply within 30 days of clicking - Turing only credits applications inside its 30-day attribution window.
About the Role
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.
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.
You're a Good Fit If You
- Required skills: Electrical Networks, Chemistry
- 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.
- 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.
Role Highlights
Pay & Payout
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
Opens Turing in a new tab. You pay nothing; we may earn a referral fee.
Get similar jobs every week
Similar roles
More coding work you may qualify for.
Senior Power Electronics / Automotive Hardware Design Engineer
Develop electronic hardware designs for automotive power electronics applications.
Senior General Hardware Design Engineer – Analog, Mixed-Signal and RF
Design and develop analog and RF circuits from concept to prototype.
Senior Digital / High-Speed Hardware Design Engineer
Design and develop high-speed electronic hardware from concept to validation.