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Remote Python Ai Jobs in California (NOW HIRING)

Mercor

AI Software Developer

San Francisco, CA · Remote

$90 - $110/hr

... Stack (Python, Java, Rust, C#, C++) Type: Contract Compensation: $90-$110/hour Location: Remote ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

YO AI Labs

Autodesk Inventor Expert - Remote

Palo Alto, CA · On-site +1

$30 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

YO AI Labs

Autodesk Inventor Expert - Remote

San Jose, CA · On-site +1

$30 - $120/hr

No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ... Experience with CAD automation, scripting, or API development using Python, iLogic, VBA, NX Open ...

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Remote Python Ai information

What is a remote Python AI job?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What skills and qualifications are needed to thrive as a remote Python AI developer?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Python Ai jobs in California?

The most popular types of Python Ai jobs in California are:

What are popular job titles related to Remote Python Ai jobs in California?

For Remote Python Ai jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Python Ai jobs in California look for?

The top searched job categories for Remote Python Ai jobs in California are:

What cities in California are hiring for Remote Python Ai jobs?

Cities in California with the most Remote Python Ai job openings:

Remote Python Ai jobs near you
Infographic showing various Remote Python Ai job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Autodesk Fusion 360 Expert - Remote

YO AI Labs

San Francisco, CA • On-site, Remote

$40 - $120/hr

Full-time

Posted 7 days ago

Job description

Job Title: Autodesk Fusion 360 Specialist

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Autodesk Fusion 360 Specialists to contribute their expertise to an innovative project at the intersection of mechanical engineering and emerging AI technology. In this role, you will help improve next-generation AI systems by creating, reviewing, and refining mechanical CAD models and technical documentation. No prior AI experience is required—your engineering and CAD expertise are what matter most.

Key Responsibilities
  • Develop fully parametric 3D CAD models of mechanical parts and assemblies using Autodesk Fusion 360 based on detailed design requirements.
  • Edit and update existing CAD models while maintaining design intent, manufacturability, and compliance with engineering specifications.
  • Review and audit CAD models for dimensional accuracy, GD&T compliance, and overall design quality.
  • Apply Design for Manufacturability (DFM) principles across injection molding, sheet metal fabrication, CNC machining, casting, and forging processes.
  • Support AI model development by delivering accurate CAD data and documenting engineering decisions.
  • Communicate design rationale, technical feedback, and engineering insights to cross-functional teams.
  • Contribute to continuous improvements in engineering datasets and AI-generated outputs.
Required Skills
  • Autodesk Fusion 360
  • Parametric CAD Modeling
  • GD&T
  • Design for Manufacturability (DFM)
  • Mechanical Assembly Modeling
  • CAD Model Auditing
  • Reverse Engineering
  • Manufacturing Processes (Injection Molding, Sheet Metal, CNC, Casting/Forging)
  • Python, iLogic, NX Open, or VBA
  • Technical Documentation
  • Written & Verbal Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • Extensive hands-on experience with Autodesk Fusion 360 and other parametric CAD platforms such as SolidWorks, Inventor, or FreeCAD.
  • Practical application of GD&T (ASME Y14.5 or equivalent) in real-world engineering projects.
  • Proven DFM experience across multiple manufacturing processes.
  • 4+ years of experience for CAD model editing and 10+ years for complex model creation.
  • Experience with assembly-level mechanical design.
  • Reverse engineering expertise, including Scan-to-CAD and point cloud conversion workflows.
  • Experience with CAD automation or scripting using Python, iLogic, NX Open, VBA, or similar tools