Mechanical Engineering Expert (MSc. or PhD) – Remote (Worldwide)

RemoteJobsOne; Houston (TX); Remote; USD 83,000 - 165,000; Part time

Job summary

RemoteJobsOne is seeking a highly skilled Mechanical Engineering Expert to contribute to an AI training project involving engineering design, physical modeling, simulation, and Python. This is a fully remote contractor role open to candidates worldwide.

You will translate requirements into computational models, create geometries/meshes, apply materials and boundary conditions, run simulations, and validate results across structural, thermal, mechanical, and multiphysics domains.

Qualifications

• MS or PhD in Mechanical Engineering or closely related discipline.
• Strong understanding of applied mechanics and mechanical-engineering fundamentals.
• Experience developing analytical, computational, or simulation-based engineering solutions.
• Practical proficiency with coding agents.

Responsibilities

• Solve and validate mechanical-engineering problems involving design, analysis, simulation, testing, or R&D.
• Translate physical systems and engineering requirements into analytical or computational models.
• Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.

Skills

Applied mechanics

Engineering problem-solving

Computational modeling

Education

MS or PhD in Mechanical Engineering

Tools

Coding agents

Job description

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $60–$120/hr

Mechanical Engineering Expert (MSc. or PhD)

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (:15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired

We are looking for a highly skilled Mechanical Engineering Expert to contribute to an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python.

The work involves creating, solving, reviewing, and validating engineering tasks across structural, thermal, mechanical, and multiphysics domains. A representative task may require translating physical requirements into a computational model, generating the required geometry or mesh, applying materials and boundary conditions, running an engineering simulation, and determining whether the resulting artifact and analysis satisfy the applicable physical and design constraints.

This is a very coding heavy role. Candidates must have experience using coding agents in their workflow.

What You’ll Work On

• Solve and validate mechanical-engineering problems involving design, analysis, simulation, testing, or R&D.
• Translate physical systems and engineering requirements into analytical or computational models.
• Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.

Required Qualifications

• An MS or PhD in Mechanical Engineering or a closely related engineering discipline; or
• Strong understanding of applied mechanics and mechanical-engineering fundamentals.
• Experience developing analytical, computational, or simulation-based engineering solutions.
• Practical proficiency with coding agents.

Process

• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum Submission Requirements Apply.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.