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Part Time Software Developer Ai Trainer Jobs in California

Shield AI

Staff Engineer, DevOps (5431)

San Diego, CA · On-site

$150K - $220K/yr

Shield AI is building autonomous aircraft that redefine aviation. The Software Integration ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Intel

AI Software Engineering Intern

Folsom, CA · On-site

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and is interested in building strong foundations in AI software stacks, GPU programming, and performance ...

3B Staffing LLC

AI Prompting Trainer

San Diego, CA · On-site

... part time role. AI Prompting Trainer (Workshop Delivery & Workforce Enablement - 100-300 Level ... Facilitate hands-on exercises focused on prompt engineering, workflow automation, and AI-assisted ...

3B Staffing LLC

AI Prompting Trainer

San Diego, CA · On-site

... part time role. AI Prompting Trainer (Workshop Delivery & Workforce Enablement - 100-300 Level ... Facilitate hands-on exercises focused on prompt engineering, workflow automation, and AI-assisted ...

Brain Gain Recruiting

Explainable AI Engineer

Palo Alto, CA · Remote

$122K - $165K/yr

Collaborate with the cloud software team and occasionally with customers * Document Explainable AI ... You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least ...

Planet

Software Engineer

San Francisco, CA · On-site

We are scaling AI capabilities to transform internal workflows, enhance engineering velocity, and create groundbreaking software experiences. We are seeking an experienced Software Engineer ...

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Part Time Software Developer Ai Trainer information

What is a part time software developer AI trainer?

Part Time Software Developer AI Trainers are professionals who work part-time to help train artificial intelligence systems, often by evaluating, annotating, or generating data used to improve AI models. They typically use their programming knowledge to review, correct, or write code samples, and may provide feedback on AI-generated code or software solutions. This role is essential for developing smarter AI tools, especially those related to software development and coding tasks.

What are the key skills and qualifications needed to thrive as a part time software developer AI trainer?

To thrive as a Part Time Software Developer AI Trainer, you need a solid background in software development, familiarity with AI concepts, and usually a relevant degree in computer science or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and knowledge of collaborative platforms are typically required. Strong communication, attention to detail, and the ability to provide constructive feedback set outstanding trainers apart. These skills are crucial for effectively guiding AI model development, ensuring data quality, and enhancing both technical and team outcomes.

How do part time software developer AI trainers typically balance project deadlines with flexible work hours?

Part Time Software Developer AI Trainers often work with project-based or milestone-driven schedules that allow for flexibility in managing their time. While this flexibility is a perk, it also requires strong self-management skills to ensure that deliverables such as code reviews, model training tasks, and feedback sessions are completed on time. Regular communication with project managers and other team members is essential to coordinate efforts and resolve any blockers efficiently. Many organizations provide collaborative tools and clear documentation to help remote trainers stay aligned with the team’s objectives and maintain productivity despite varied schedules.

What is the difference between Part Time Software Developer Ai Trainer vs Part Time Data Scientist?

AspectPart Time Software Developer Ai TrainerPart Time Data Scientist
Required CredentialsProgramming skills, AI/ML knowledge, relevant certificationsStatistics, programming, data analysis certifications
Work EnvironmentTech companies, startups, remote or hybrid settingsResearch labs, tech firms, remote or office-based
Employer & Industry UsageAI development, machine learning projects, tech industryData analysis, predictive modeling, business intelligence

While both roles involve technical skills and data handling, a Part Time Software Developer Ai Trainer focuses on training AI models through coding and machine learning techniques, whereas a Part Time Data Scientist analyzes data to derive insights. The roles often overlap in skills but differ in primary focus and application within the tech industry.

What are popular job titles related to Part Time Software Developer Ai Trainer jobs in California?

For Part Time Software Developer Ai Trainer jobs in California, the most frequently searched job titles are:

What job categories do people searching Part Time Software Developer Ai Trainer jobs in California look for?

The top searched job categories for Part Time Software Developer Ai Trainer jobs in California are:

What cities in California are hiring for Part Time Software Developer Ai Trainer jobs?

Cities in California with the most Part Time Software Developer Ai Trainer job openings:

Part Time Software Developer Ai Trainer jobs near you
Infographic showing various Part Time Software Developer Ai Trainer job openings in California as of August 2026, with employment types broken down into 5% Full Time, and 95% Part Time. Highlights an 95% In-person, and 5% Hybrid job distribution.

Co-Founder & CEO - AI Healthcare Revenue Recovery

FutureSight

San Francisco, CA • On-site, Remote

$80K/yr

Full-time, Part-time

Re-posted 26 days ago

Key responsibilities

  • Lead pilots with practice owners and revenue cycle leaders, convert them to paid engagements, and build the go-to-market motion

  • Partner with the product and engineering team to ship the initial product version and iterate based on user feedback

  • Lead the seed funding process supported by the company's network and traction

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 studio team, led by John Carbrey (4x entrepreneur, $100M ARR), Krista LaRiviere (3x exited, E&Y Top Women Entrepreneur), Alan Smith (Strategyzer co-founder, $120M in products built), Prathna Ramesh (former MD of Maple Leaf Angels, $275M in follow-on capital), and Johnny Tong (0-to-1 builder, acquired by SAP and Stripe) bring a rare combination of operator exits, institutional investing, and AI product depth.
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 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