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Remote Python Mechanical Engineering Jobs in San Francisco, CA

YO AI Labs

SolidWorks Expert - Remote

San Francisco, CA · Remote

$40 - $130/hr

Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ... Current experience in mechanical or industrial CAD modeling. * Reverse engineering expertise ...

Turing

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 ...

New

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$51.50 - $71/hr

Small engineering team with direct access to product decisions * Two-week sprint cycles with ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Small engineering team with direct access to product decisions * Two-week sprint cycles with ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Small engineering team with direct access to product decisions * Two-week sprint cycles with ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Higharc

Sr. Software Engineer, Structural

San Francisco, CA · Remote

$102K - $139K/yr

Structural or mechanical engineering experience, whether academic or professional. * Familiarity ... Python, and picking up TypeScript and React is expected, not a barrier. Working at Higharc Remote ...

IMS People

Be Seen First

Machine Learning Engineer 100% Remote - W2

San Francisco, CA · Remote

$59 - $60/hr

The ideal candidate will have strong Python development experience , hands-on experience building ... Background in AI Engineering, Software Engineering, Machine Learning Engineering, or Data ...

New

Turing

Backend Engineer (Python/FastAPI)

San Francisco, CA · Remote

$200 - $300/hr

... Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers ... Design verification mechanisms that can automatically verify a solution to a software engineering ...

New

YO AI Labs

DevOps Engineer - Remote

San Francisco, CA · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... Engineering . * Strong coding skills in Python, Go, Bash, or TypeScript . * Hands-on experience ...

Astrix Inc

AWS Cloud Engineer (Remote)

San Francisco, CA · Remote

$40 - $45/hr

... Python development skills to support the design and modernization of cloud-based data engineering and bioinformatics platforms. Position: AWS Cloud Engineer - Python (Contract) Location: Remote (U.S ...

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All JobsPython Mechanical Engineering JobsRemote Python Mechanical Engineering JobsRemote Python Mechanical Engineering Jobs in San Francisco, CA

Remote Python Mechanical Engineering information

See San Francisco, CA salary details

$27.1K

$164.9K

$238.6K

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

As of Sep 2, 2026, the average yearly pay for remote python mechanical engineering in San Francisco, CA is $164,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $193,800.00 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.

What are popular job titles related to Remote Python Mechanical Engineering jobs in San Francisco, CA?

For Remote Python Mechanical Engineering jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python Mechanical Engineering jobs in San Francisco, CA look for?

The top searched job categories for Remote Python Mechanical Engineering jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Python Mechanical Engineering jobs?

Cities near San Francisco, CA with the most Remote Python Mechanical Engineering job openings:

Remote Python Mechanical Engineering jobs near you
Infographic showing various Remote Python Mechanical Engineering job openings in San Francisco, CA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $164,910 per year, or $79.3 per hour.

Mechanical Engineering Expert - Remote

YO AI Labs

San Francisco, CA • Remote

$30 - $70/hr

Full-time

Posted 9 days ago

Job description

Mechanical Engineering Technician

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Mechanical Engineering Technicians to support an advanced AI benchmark project. You will use your hands-on technical expertise to create realistic testing, data interpretation, and failure-diagnosis scenarios.

No prior AI experience is required.

Key Responsibilities
  • Create realistic technician tasks involving test setup, instrumentation, data collection, and failure diagnosis.
  • Develop technical datasets such as test logs, calibration records, sensor outputs, and failure reports.
  • Define accurate solution pathways and next-step recommendations based on test data.
  • Create detailed 35+ point grading rubrics covering instrumentation, data interpretation, and failure analysis.
  • Document test procedures, observations, results, and diagnostic findings clearly.
  • Ensure tasks reflect real-world professional complexity rather than textbook scenarios.
Required Skills
  • Test Setup
  • Data Interpretation
  • Failure Diagnosis
  • Instrumentation
  • Sensor & Data Acquisition
  • Mechanical Testing
  • Technical Documentation
  • Data Analysis
  • Quality & Troubleshooting
Preferred Qualifications
  • 4+ years of hands-on experience in mechanical testing, laboratory, or production environments.
  • Associate degree or relevant trade/technical credential preferred.
  • Strong experience with instrumentation, sensors, data acquisition systems, and prototype testing.
  • Ability to document test procedures, results, and failure modes accurately.
  • Strong analytical and troubleshooting skills.
  • Comfortable working with CSVs, spreadsheets, PDFs, and technical datasets.
  • Ability to work independently in a remote environment.
Compensation & Availability

Compensation is output-based, with payment per approved task. Minimum weekly submission requirements apply.

Selected experts should be ready to begin their first tasks within 24–48 hours of completing onboarding. Roles are typically filled within 48 hours.

Screening Questions
  1. How many years of hands-on mechanical testing or technician experience do you have?
  2. What experience do you have with instrumentation, sensors, and data acquisition systems?
  3. Describe your experience with test setup and failure diagnosis.
  4. Have you worked with test logs, calibration records, sensor data, or failure reports?
  5. What technical documentation tools or formats do you regularly use?
  6. Are you comfortable creating detailed evaluation rubrics and diagnostic scenarios?
  7. How soon can you start?