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Remote Python Mechanical Engineering Jobs (NOW HIRING)

Turing

Remote Python Developer

San Francisco, CA · Remote

$200 - $300/hr

Design verification mechanisms that can automatically verify a solution to a software engineering ... Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for ...

Turing

Remote Python Developer

Seattle, WA · Remote

$200 - $300/hr

Design verification mechanisms that can automatically verify a solution to a software engineering ... Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for ...

Turing

Remote Python Developer

Manhattan, NY · Remote

$200 - $300/hr

Design verification mechanisms that can automatically verify a solution to a software engineering ... Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for ...

Turing

Remote Python Developer

Austin, TX · Remote

$51.50 - $71/hr

Design verification mechanisms that can automatically verify a solution to a software engineering ... Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for ...

Weekday AI

Mechanical Engineering Expert

$65 - $90/hr

... mechanical engineering applications ... This is a flexible, fully remote, part-time opportunity requiring approximately 10 hours per week ...

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Remote Python Mechanical Engineering information

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$23K

$140K

$202.5K

How much do remote python mechanical engineering jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote python mechanical engineering in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Python Mechanical Engineering vs Remote Mechanical Design Engineer?

AspectRemote Python Mechanical EngineeringRemote Mechanical Design Engineer
Required CredentialsEngineering degree, Python programming skills, mechanical knowledgeEngineering degree, CAD software proficiency, mechanical design skills
Work EnvironmentSoftware development, coding, data analysisDesign, CAD modeling, prototype development
Employer & Industry UsageTech companies, engineering firms, product developmentManufacturing, automotive, aerospace, product design
Search & Comparison IntentTechnical coding roles, remote Python jobs in engineeringDesign-focused remote mechanical engineering roles

Remote Python Mechanical Engineering involves coding, data analysis, and software development using Python in a mechanical context. In contrast, Remote Mechanical Design Engineers focus on CAD modeling, designing mechanical components, and prototype creation. Both roles require engineering backgrounds but differ in daily tasks and skill sets, catering to different aspects of mechanical engineering projects.

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The most popular types of Python Mechanical Engineering jobs are:

What states have the most Remote Python Mechanical Engineering jobs?

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Remote Python Mechanical Engineering jobs near you
Infographic showing various Remote Python Mechanical Engineering job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Remote Python Developer

San Francisco, CA • Remote

Turing
IT Services • 51 - 200 employees
Learn more about Turingexternal

$200 - $300/hr

Contractor

Medical, PTO

Posted 20 days ago

Job description

About Us:
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 software engineering, logical 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.
Ideal Background:
This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:
  • Several years of software engineering experience (3 years or more).
  • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
  • Experience building full-stack applications and deploying scalable software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:
  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
  • Type: Contractor (no medical/paid leave).
  • Duration: 1 month (potential extensions based on performance and fit).
  • Location: Candidates must be based in the United States.

Evaluation Process:
  • The application process takes 15–30 minutes.
  • Completion of an AI video interview is required.