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Scientific Computing / Research Engineering Expert — Engineering

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.

Remote

Hiring companyTuring

Application processN/ANo approved reviews yet

Work experienceN/ANo approved reviews yet

About the role

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.

Employment type : Contractor assignment (no medical/paid leave).

Responsibilities

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.

Preferred skills

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.

Experience and education

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.

Schedule details

Commitments Required: At least 6 hours per day and minimum 40 hours per week with overlap of 4 hours with PST.

Duration of contract : 5 week [expected start date is next week].

Eligibility

Work arrangement: Fully remote

Compensation details

Payment type: Pay Per Task $300/per aproved task.

More about the hiring companyTuring

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