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Part Time Ai Coding Jobs in Seattle, WA (NOW HIRING)

Lindblad Expeditions

Office Support

Seattle, WA · On-site

$22 - $25/hr

... to provide part-time administrative and clerical support to our team. This role is ideal for ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lindblad Expeditions

Office Support

Seattle, WA · On-site

$19.25 - $25/hr

... to provide part-time administrative and clerical support to our team. This role is ideal for ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lindblad Expeditions

Office Support

Seattle, WA

$22 - $25/hr

... to provide part-time administrative and clerical support to our team. This role is ideal for ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Compass Group

WAREHOUSE RUNNER

Everett, WA · On-site

$20.77/hr

Warehouse Runner (Part-Time Seasonal) at Funko Field Pay Range : $20.77 to $20.77 We Make Applying ... Text JOB to 75000 and search requisition ID number 1503914 The advertised program is an AI ...

Compass Group

WAREHOUSE RUNNER

Everett, WA · On-site

$20.77/hr

Warehouse Runner (Part-Time Seasonal) at Funko Field Pay Range : $20.77 to $20.77 We Make Applying ... The advertised program is an AI recruiting assistant that helps you apply to jobs with Compass ...

All JobsPart Time Ai Coding JobsPart Time Ai Coding Jobs in Seattle, WA

Part Time Ai Coding information

See Seattle, WA salary details

$10

$21

$33

How much do part time ai coding jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for part time ai coding in Seattle, WA is $21.90, according to ZipRecruiter salary data. Most workers in this role earn between $12.84 and $30.38 per hour, depending on experience, location, and employer.

What is the difference between Part Time Ai Coding vs Part Time Data Analyst?

AspectPart Time Ai CodingPart Time Data Analyst
Required CredentialsBasic programming skills, understanding of AI conceptsStatistical knowledge, data analysis skills, often some programming
Work EnvironmentTech companies, startups, remote freelance projectsBusiness environments, research firms, remote or onsite
Industry UsageAI development, machine learning projectsData interpretation, reporting, business insights
Search & Comparison IntentFocus on AI-specific tasks, coding skillsFocus on data analysis, reporting skills

Part Time Ai Coding involves working on AI and machine learning projects, requiring programming and AI knowledge, often in tech environments. Part Time Data Analyst focuses on interpreting data and generating reports, with skills in statistics and data tools. While both roles may be remote and part-time, they serve different industry needs and require distinct skill sets.

What is a Part Time AI Coding job?

A Part Time AI Coding job involves working with artificial intelligence technologies, such as machine learning, data analysis, and programming, on a part-time basis. These roles typically require knowledge of programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and the ability to work on projects related to data processing or model development. Part-time AI coding positions offer flexible hours and may involve remote work, making them suitable for students or professionals seeking additional experience in AI. Responsibilities can range from writing code for AI applications to assisting in research or building prototypes. The demand for AI coding skills is growing, making these roles valuable for gaining experience in a rapidly evolving field.

What are some common challenges faced by part-time AI coding professionals, and how can they be managed?

Part-time AI coding professionals often face challenges such as balancing project deadlines with limited working hours and staying updated with rapid advancements in AI technologies. Managing time effectively and setting clear expectations with employers or clients can help address these issues. Additionally, proactively engaging in continuous learning and leveraging online resources can ensure you remain current in the field. Regular communication and collaboration with team members, even in a part-time capacity, is also essential for project success.

What are the key skills and qualifications needed to thrive as a Part-Time AI Coding professional, and why are they important?

To thrive as a Part-Time AI Coding professional, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and relevant experience or coursework in computer science or data science. Familiarity with AI development frameworks such as TensorFlow, PyTorch, and version control systems like Git is typically required. Critical thinking, problem-solving, and effective communication help you adapt quickly and collaborate with remote or cross-functional teams. These skills ensure you can efficiently contribute to AI projects, deliver high-quality code, and keep up with the rapid pace of advancements in the field.
What are the most commonly searched types of Ai Coding jobs in Seattle, WA? The most popular types of Ai Coding jobs in Seattle, WA are:
What are popular job titles related to Part Time Ai Coding jobs in Seattle, WA? For Part Time Ai Coding jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Ai Coding jobs in Seattle, WA look for? The top searched job categories for Part Time Ai Coding jobs in Seattle, WA are:
Part Time Ai Coding jobs near you
Infographic showing various Part Time Ai Coding job openings in Seattle, WA as of June 2026, with employment types broken down into 100% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $45,560 per year, or $21.9 per hour.

Co-Founder & CEO - HealthTech - AI Revenue Recovery

FutureSight

Seattle, WA • On-site, Remote

$80K/yr

Full-time, Part-time

Posted 15 days ago

Job description

The Opportunity
FutureSight is seeking a Co-Founder & CEO to lead Reclaim, an AI-native denial management and revenue recovery venture. This is a co-founder partnership with meaningful founder equity, not a salaried executive role.
We are entering a $16B+ Total Addressable Market with a gaping $ 7.5B-$10B whitespace, targeting the highly underserved mid-market segment. Currently, 30-40% of denied medical claims go uncontested because practices lack the staff and capital to contest them. This systemic failure leaves between $50,000 and $300,000 in legally earned revenue permanently abandoned at each practice every year.
Reclaim AI resolves denied and aged claims end-to-end, embedding outcome-based contingency pricing-meaning practices pay zero upfront, and we only take a cut of the dollars we successfully recover, for our target ideal customer profile (practices with $80K+ in annual recoverable claims).
Market Context
We didn't just read market reports; we spent weeks interviewing billing managers, practice owners, revenue cycle leaders at health systems, and even digital operations leaders at major insurance companies. The dysfunction we uncovered is staggering, creating a massive opportunity for a disruptor:
  • The pain is so severe, practices are building their own tech: The frustration of payer opacity is so deep that medical billers are hiring part-time software engineers to build in-house robotic process automation (RPA) scrapers just to check claim statuses.
  • Massive, emotional write-offs: Staff carry immense guilt over these administrative losses. One small-practice assistant admitted, "I feel like we probably had to write off probably close to a million dollars" simply because they couldn't keep up with the manual follow-ups.
  • The "Payer-Side Inversion" Opportunity: We discovered that insurance companies are drowning in the exact same claims dysfunction they generate. One major payer we interviewed reported a backlog of 31,000 contested claims that consumed 80% of their staff's operational capacity, forcing emergency hires just to manage the disputes.
  • The Competition is Distracted: Well-funded Tier-1 competitors are charging $15K+ upfront licensing fees and fighting over enterprise health systems. The competitive window to capture the mid-market with a contingency-priced autonomous agent is wide open.
About FutureSight
FutureSight is a leading venture builder that co-creates world-class software companies with values-driven entrepreneurs from inception to exit. We are a team of founders, operators and designers with experience successfully bringing software to market at scale.
You'll co-create with a proven venture building team, including:
  • John Carbrey - 4x founder, bootstrapped to $100M ARR
  • Joshua Auslander - Seasoned CFO and strategic advisor with $200M aggregate exits
  • Alan Smith - Globally recognized early stage validation expert, 24 products launched, an exit, 5M+ books sold
  • Prathna Ramesh - Early-stage investor and capital strategy advisor
The Partnership
  • Founder equity with meaningful ownership from inception
  • Pre-seed capital committed by FutureSight for early hires and MVP development, with potential for follow-on funding
  • Venture building resources, including embedded design, engineering, growth, and fundraising support from day one
  • Investor and advisor network across logistics, vertical AI, and early-stage capital markets
  • A true co-creation model in which you operate as CEO with FutureSight's cross-functional team as your partner
What You'll Own
As Co-Founder & CEO, you will set the venture's direction and lead its execution.
  • Strategy - Refine the ICP, pricing model, and product positioning
  • Customer Development - Lead pilots with practice owners and revenue cycle leaders, convert them to paid engagements, and build the go-to-market motion
  • Product - Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback
  • Capital - Lead the seed raise, supported by FutureSight's network and traction
  • Team - Recruit and lead the founding team, and establish the cultural foundation of the company
Co-Founder Profile
  • Domain & Workflow Depth: You have direct exposure to healthcare revenue cycle, medical billing, or denial management. You understand the nuanced differences in denial codes, know why administrative denials (like credentialing gaps) are uniquely painful, and intuitively understand the fragmented systems (e.g., Tebra, eClinicalWorks, Availity) that billers are forced to use
  • Previous founding experience at a venture-backed company
  • Demonstrated success in B2B AI or B2B SaaS go-to-market, including sales and customer engagement
  • Fundraising fluency, with the ability to develop investor narratives and close capital
  • Proven ability to attract, develop, and retain top talent
  • Clear-eyed understanding of the risks and demands of co-founding a venture-backed company
How to Apply
Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate.
FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.

Apply