Scientific Computing Research Engineer (Remote Contract)
Listing checked September 23, 2026 · pay as published by Turing
Overview
Turing recruits engineering experts for a frontier AI program that builds terminal-based scientific tasks used to train and evaluate AI agents. You translate authentic workflows from mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, and control systems engineering into reproducible computational problems. The work covers modeling, simulation, optimization, data processing, debugging, and technical validation. Expect a 5-week contractor engagement starting next week, with at least 6 hours per day, 40 hours per week, and 4 hours of daily overlap with PST.
What You'll Do8
- 1Design multi-step terminal tasks that mirror genuine engineering and scientific workflows.
- 2Assemble datasets, simulation inputs, geometry files, sensor data, design constraints, and configuration files for each task.
- 3Write expert solutions in Python, C/C++, Julia, MATLAB/Octave, Bash, or the relevant engineering toolchain.
- 4Package reproducible, containerized environments with pinned dependencies and the right engineering software.
- 5Build tasks covering simulation, numerical analysis, optimization, control systems, signal processing, finite-element concepts, CAD data, and engineering design.
- 6Create automated tests and objective grading criteria that check units, physical constraints, tolerances, convergence, stability, boundary conditions, and numerical behavior.
- 7Debug solver, dependency, workflow, precision, and performance faults inside candidate environments.
- 8Document assumptions, requirements, expected outputs, and edge cases for every task you deliver.
Requirements7
- 1Ph.D., postdoctoral background, or comparable advanced technical experience in an engineering discipline such as mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, or control systems.
- 2Strong scientific programming ability in Python, C/C++, Julia, MATLAB/Octave, Bash, or another relevant language.
- 3Hands-on work in Linux or terminal-based environments.
- 4Practical experience with engineering simulation, modeling, numerical analysis, optimization, signal processing, control systems, or technical data analysis.
- 5Solid grasp of numerical methods, engineering units, physical constraints, boundary conditions, and technical validation.
- 6Track record of building, debugging, and validating reproducible computational engineering workflows.
- 7Ability to commit at least 6 hours per day and 40 hours per week, including 4 hours of overlap with PST.
Who Should Apply
The role suits an engineer with a doctorate or postdoc and a strong record of scientific programming, ideally someone who has shipped simulation, numerical analysis, or control systems work in a terminal environment. Candidates who have built benchmarks, automated graders, or evaluation tasks for AI coding agents will find the work familiar. Experience with FEM, CFD, robotics, embedded systems, or digital twins strengthens an application. This position fits less well if you need medical or paid leave benefits, since it is a contractor assignment with no such coverage. Applicants frequently score low when they list engineering coursework without evidence of hands-on solver debugging or reproducible workflow design. Another common miss is failing to show concrete numerical validation, such as tolerance checks, convergence tests, or unit consistency, in past work.
Salary Insight
Pay is per approved task at $300 per task.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$80/hour
This role
$0.3K ≈ $0/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay sits below that range.
Based on 612 similar roles that publish pay · 105 publish only a top rate; those count at the rate they gave
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Most requested skills · share of roles
- python19%
- technical writing10%
- ai evaluation7%
- llm evaluation7%
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Compensation
$0.3K
Required Skills
Application Tip
In your application, name the engineering simulation tools and languages you use most, then give one concrete example of a reproducible workflow you built and validated, including the solver, the numerical checks you ran, and the outcome. Specify your daily PST overlap window and confirm you can sustain 6 hours per day for the 5-week contract.
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