SaidGig

Computational Engineer for AI Model Evaluation

$20–$60/hr

RemoteContracttechnologyUpdated Jun 17, 2026
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About this role

As a Computational Engineering Expert, you will leverage your specialized knowledge to enhance the training of next-generation AI systems. Your contributions will directly influence how AI models learn, reason, and perform through the integration of high-quality, real-world data.

Key Responsibilities:
  • Utilize your expertise in computational, simulation, or systems engineering to support advanced AI benchmarking and evaluation processes.
  • Analyze and provide feedback on AI model performance in realistic engineering scenarios, including CFD, FEA, and robotics.
  • Review and enhance technical datasets, workflows, and simulation results for quality and accuracy.
  • Employ domain-specific tools such as ANSYS, Abaqus, COMSOL, OpenFOAM, and MATLAB to validate engineering solutions.
  • Create detailed written assessments and clearly communicate complex technical insights 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.
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 for effective knowledge transfer and collaboration.
  • Proficiency in 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 significant R&D involvement in computational engineering or simulation.
Work Terms:

Contract position with remote work flexibility.

Compensation:

Hourly rate ranges from $20 to $60, commensurate with experience.

Eligibility:

Open to qualified candidates with the required skills and experience.

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