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Permanent Remote Mechanical Engineer Jobs (NOW HIRING)

Remote Mechanical Engineer Location: Richland, WA Contract Duration: Contract with potential for contract-to-hire Compensation: $65 - $75.00/hr Work Model: Onsite or Remote with Travel Overview:

Remote Mechanical Engineer Location: Richland, WA Contract Duration: Contract with potential for contract-to-hire Compensation: $65 - $75.00/hr Work Model: Onsite or Remote with Travel Overview:

Remote Mechanical Engineer Location: Richland, WA Contract Duration: Contract with potential for contract-to-hire Compensation: $65 - $75.00/hr Work Model: Onsite or Remote with Travel Overview:

Remote Mechanical Engineer Location: Richland, WA Contract Duration: Contract with potential for contract-to-hire Compensation: $65 - $75.00/hr Work Model: Onsite or Remote with Travel Overview:

Remote Mechanical Engineer Location: Richland, WA Contract Duration: Contract with potential for contract-to-hire Compensation: $65 - $75.00/hr Work Model: Onsite or Remote with Travel Overview:

Remote Mechanical Engineer Location: Richland, WA Contract Duration: Contract with potential for contract-to-hire Compensation: $65 - $75.00/hr Work Model: Onsite or Remote with Travel Overview:

No Overtime Pay Basis Remote (within USA - W/ On-Site Meetings Expected) in The CONUS - Located In ... The Mechanical Engineer | Technical Due Diligence & Engineering Validation For Downstream Oil & Gas ...

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Permanent Remote Mechanical Engineer information

See salary details

$45.5K

$102.9K

$166.5K

How much do permanent remote mechanical engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for permanent remote mechanical engineer in the United States is $102,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $126,500.00 per year, depending on experience, location, and employer.

What is the difference between Permanent Remote Mechanical Engineer vs Permanent Remote Mechanical Designer?

AspectPermanent Remote Mechanical EngineerPermanent Remote Mechanical Designer
CredentialsBachelor's in Mechanical Engineering, PE license (optional)Degree in Mechanical Design, CAD certifications
Work EnvironmentEngineering teams, product development, testingDesign departments, CAD software, drafting
Industry UsageManufacturing, aerospace, automotiveProduct design, consumer goods, industrial equipment

Both roles often work remotely, require technical skills, and are used across similar industries. The main difference lies in their focus: Mechanical Engineers handle analysis and testing, while Mechanical Designers focus on creating detailed CAD models and drawings.

What cities are hiring for Permanent Remote Mechanical Engineer jobs?

Cities with the most Permanent Remote Mechanical Engineer job openings:

What are the most commonly searched types of Remote Mechanical Engineer jobs?

The most popular types of Remote Mechanical Engineer jobs are:

What states have the most Permanent Remote Mechanical Engineer jobs?

States with the most job openings for Permanent Remote Mechanical Engineer jobs include:

What are popular job titles related to Permanent Remote Mechanical Engineer jobs?

For Permanent Remote Mechanical Engineer jobs, the most frequently searched job titles are:

Remote Mechanical Engineer (Manufacturing)

Manhattan, NY โ€ข Remote

Turing
IT Servicesย โ€ขย 51 - 200 employees

$100 - $150/hr

Contractor

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Turing is looking for candidates with strong experience in mechanical engineering, system design, and production optimization.

Role overview:
  • In this role, you will contribute to projects that help evaluate and enhance AI systems using your engineering knowledge and analytical reasoning skills.
  • No prior AI experience is required.
  • These projects will help you explore how AI can be leveraged to improve technical reasoning, engineering accuracy, and design efficiency across manufacturing workflows.

What does day-to-day look like:
  • Design and solve real-world mechanical and manufacturing engineering problems to test AI reasoning.
  • Write clear, structured solutions covering mechanical design, materials selection, failure analysis, and production methods.
  • Evaluate AI responses for accuracy, clarity, and alignment with engineering principles.
  • Collaborate with researchers to refine AI understanding of simulation reasoning, calculations, and industry standards (ASME, ISO, ASTM).

Requirements:
  • 4+ years of experience as a Mechanical Engineer, Design Engineer, or Manufacturing Engineer.
  • Candidates must have a Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or Mechatronics Engineering.
  • Proficiency with CAD tools (e.g., SolidWorks, AutoCAD, Fusion 360) and engineering analysis methods (FEA, CFD) preferred.
  • Strong English communication and technical reasoning skills.
  • Comfortable using web-based tools for annotation and review.

Perks of freelancing with Turing & offer details:
  • Strong compensation (exact amount varies by project).
  • Fully remote work environment.
  • Engagement type: Contractor assignment/freelancer, potentially full-time.
  • Duration of projects: approximately 1 month, with the possibility for extension.

What Turing is NOT seeking from your expertise:
  • Confidential or proprietary information from any employer, university, etc.
  • Trade secrets or internal company or university data.
  • Specific client information or case details.
  • Any information that would violate NDAs, employment agreements or other confidentiality obligations.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.