Mechanical Engineering Expert (MSc or PhD) (Fully Remote)

Jobgether; United States; Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Worldwide contract

Flexible part-time workload

Job summary

Jobgether is seeking an engineer to apply advanced mechanical engineering to support AI training and evaluation in a fully remote, worldwide contract with a flexible part-time workload.

You will handle physical modeling, simulation, and multiphysics problems, translating requirements into computational models and validating them with AI coding agents. The role is contract-based for 12 months with hourly compensation.

Qualifications

• Apply advanced mechanical engineering to support AI training and evaluation.
• Work on physical modeling, simulation, and computational problem-solving.
• Solve engineering problems across structural, thermal, mechanical, and multiphysics domains.
• Translate requirements into computational models and use AI coding agents for validation.

Responsibilities

• Solve engineering problems across structural, thermal, mechanical, and multiphysics domains.
• Translate requirements into computational models and use AI coding agents for validation.

Skills

Advanced mechanical engineering

AI coding agents

Computational modeling

Multiphysics problem-solving

Tools

AI tools

Job description

• Apply advanced mechanical engineering to support AI training and evaluation.
• Work on physical modeling, simulation, and computational problem-solving.

Key Responsibilities:

• Solve engineering problems across structural, thermal, mechanical, and multiphysics domains.
• Translate requirements into computational models and use AI coding agents for validation.

What We Offer:

• Fully remote, worldwide contract with flexible part-time workload.
• Competitive hourly compensation of $60-$120 and a 12-month engagement.

Jobgether

We are an AI-powered job matching platform that connects top candidates with hiring companies. We use AI to review applications and shortlist the best-fitting candidates for a fair and efficient recruitment process.