Computational Engineering Expert
$20 - $60/hourpay
Required Skills
computational fluid dynamics (cfd)
finite element analysis (fea)
matlab
python
ansys
abaqus
openfoam
comsol
simulation modeling
systems engineering
technical dataset review
domain-specific tool expertise
problem-solving
systems thinking
written communication
verbal communication
collaboration
ai model evaluation
technical benchmarking
scripting
scientific workflows
ai/ml application in engineering
high performance computing (hpc)
optimization
large-scale simulation environments
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Computational Engineering Expert
Job Type: Contractor
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities:
- Leverage your expertise in computational, simulation, or systems engineering to inform advanced AI benchmarking and evaluation processes.
- Analyze and provide feedback on AI models’ performance in realistic engineering scenarios related to CFD, FEA, robotics, and more.
- Review, assess, and enhance technical datasets, workflows, and simulation results for quality and accuracy.
- Utilize domain-specific tools such as ANSYS, Abaqus, COMSOL, OpenFOAM, and MATLAB to validate engineering solutions.
- Create detailed written assessments and communicate complex technical insights clearly with the team.
- Collaborate with a diverse group of domain experts to identify gaps and opportunities for AI model improvement.
- Contribute to the development of robust, real-world benchmarks for AI systems in computational engineering fields.
Required Skills and Qualifications:
- PhD or equivalent industry/research experience in a computational, simulation, or systems engineering discipline.
- Proven expertise in areas such as CFD, FEA, computational mechanics, robotics, control systems, or signal processing.
- Hands-on experience with simulation, analytical, or technical modeling tools (e.g., ANSYS, Abaqus, MATLAB, OpenFOAM).
- Strong problem-solving and systems-thinking skills, with a commitment to technical excellence.
- Exceptional written and verbal communication skills, enabling clear knowledge transfer and collaborative work.
- Comfortable with scripting and scientific workflows in Python and/or MATLAB.
- Ability to synthesize complex domain knowledge into actionable insights for interdisciplinary teams.
Preferred Qualifications:
- Experience applying AI/ML techniques within engineering domains or workflows.
- Familiarity with HPC, optimization, or large-scale simulation environments.
- Publication record, patents, or deep R&D involvement in computational engineering or simulation.