ZipRecruiter

Log In

2

Remote Python Ai Jobs in Seattle, WA (NOW HIRING)

EnerSys

Senior Finance AI & Automation Developer

Sumner, WA · On-site +1

$95K - $119K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Experience with Python and/or other code languages required * 6 Sigma Black Belt certification ...

OTSI

AI & Data Solutions Architect

Seattle, WA · Remote

Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data ... Retained hands-on engineering proficiency with a strong command of Python and SQL, alongside ...

Belva.ai

Full Stack Project Lead

Bellevue, WA · Remote

Remote Position Type: Full-time About Us: Belva, Inc. is a dynamic and innovative AI start-up ... Python, JavaScript/TypeScript, and Java. - Minimum of 5+ years of experience with software ...

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Work on cutting-edge cloud transformation and AI/ML infrastructure projects * Opportunity to ...

next page

Showing results 1-20

All JobsPython Ai JobsRemote Python Ai JobsRemote Python Ai Jobs in Seattle, WA

Remote Python Ai information

See Seattle, WA salary details

$15

$66

$98

How much do remote python ai jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote python ai in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?

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.

What are Remote Python AI jobs?

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 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.

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 are the most commonly searched types of Python Ai jobs in Seattle, WA? The most popular types of Python Ai jobs in Seattle, WA are:
What are popular job titles related to Remote Python Ai jobs in Seattle, WA? For Remote Python Ai jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Python Ai jobs in Seattle, WA look for? The top searched job categories for Remote Python Ai jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Python Ai jobs? Cities near Seattle, WA with the most Remote Python Ai job openings:
Remote Python Ai jobs near you

AI Solution Architect

Texas State Library and Archives Commision

Seattle, WA • On-site, Remote

$71.75 - $94.50/hr

Full-time

Re-posted 13 days ago

Job description

Position: AI Solution Architect
Location: Remote
Duration: Long Term
Job description:
12 years of IT experience currently hands on with minimum of 5 years of experience on Azure having technically guided managed and governed the team Flexible to work in the shifts
Azure Studio and Azure Factory, Gen AI, LLM
Primary skills
Strong communication skills and experience in managing various stakeholder relationships to gain consensus on complex technical solutions
Experience in architecting designing and implementing solutions on premises in the cloud and using hybrid models
Handson experience in deploying a variety of generative models
Indepth experience in finetuning and customizing pretrained AI models with good understanding of various patterns and practices in AI data engineering and large data processing
Hands on in Prompt Engineering Azure Open AI Form Recognizer Cognitive Search Vector Databases
Develop and deliver upskilling sessions to the customer
Python and PySpark
Secondary Skills
MLOps and LLMOps

Apply