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Freelance Ai Operations Jobs (NOW HIRING)

... freelance AI training gigs to first internships to full-time careers and beyond. This unique value ... You'll partner closely with Security, IT Engineering, People Operations, and Product/Platform ...

Our partner is looking for a Legal Manager (Freelance) based in Netherlands. This role offers an ... business operations. How Jobgether works: We use an AI-powered matching process to ensure your ...

... Operations, Influencer Marketing, and more! How to Apply * Please submit your resume and/or ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... freelance AI training gigs to first internships to full-time careers and beyond. This unique value ... You'll work closely with a cross‑functional squad (engineering, design, operations) and with ...

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Freelance Ai Operations information

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How much do freelance ai operations jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for freelance ai operations in the United States is $24.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $27.64 per hour, depending on experience, location, and employer.

What is a freelance AI operations?

Freelance AI Operations refers to professionals who work independently to manage, optimize, and maintain artificial intelligence systems for clients or organizations. These freelancers may handle tasks such as deploying machine learning models, monitoring AI performance, automating workflows, and ensuring the reliability and scalability of AI-based solutions. They typically work on a project or contract basis, providing flexible support to businesses that need AI expertise without hiring full-time staff. Freelance AI Operations specialists often have backgrounds in data science, software engineering, or IT operations, and they keep up-to-date with the latest AI technologies and best practices.

What are the key skills and qualifications needed to thrive as a freelance AI operations specialist, and why are they important?

To thrive as a Freelance AI Operations Specialist, you need a solid background in data science, machine learning, and cloud computing, often supported by a degree in computer science or related certifications. Familiarity with tools like Python, TensorFlow, AWS, and MLOps platforms is typically required. Strong problem-solving, communication, and project management skills help freelancers collaborate with clients and deliver reliable solutions. These skills ensure effective deployment, monitoring, and maintenance of AI systems in dynamic work environments.

What are some common challenges faced by freelance AI operations professionals, and how can they be managed?

Freelance AI Operations professionals often face challenges such as managing diverse client expectations, staying updated with rapidly evolving AI tools, and ensuring data security across multiple projects. Balancing multiple clients can require strong organizational and communication skills to set clear project timelines and deliverables. Additionally, freelancers must proactively invest in continuous learning and collaborate effectively with remote teams to ensure seamless integration of AI solutions. Building a reliable workflow and leveraging project management tools can help mitigate these challenges.

What is the difference between Freelance Ai Operations vs Data Analyst?

AspectFreelance Ai OperationsData Analyst
CredentialsOften requires knowledge of AI tools, machine learning, and data managementTypically requires a degree in statistics, data science, or related fields
Work EnvironmentRemote, project-based, freelance work with multiple clientsUsually employed by organizations, working in office or remote teams
Industry UsageUsed in AI development, automation projects, and tech startupsUsed across finance, marketing, healthcare, and other sectors for data insights

Freelance Ai Operations professionals focus on managing AI tools and projects independently, often working remotely with multiple clients. Data Analysts typically work within organizations analyzing data to inform business decisions. While both roles involve data, Freelance Ai Operations emphasizes AI systems management, whereas Data Analysts focus on interpreting data sets.

More about Freelance Ai Operations jobs

What cities are hiring for Freelance Ai Operations jobs?

Cities with the most Freelance Ai Operations job openings:

What are the most commonly searched types of Ai Operations jobs?

The most popular types of Ai Operations jobs are:

What states have the most Freelance Ai Operations jobs?

States with the most job openings for Freelance Ai Operations jobs include:

Infographic showing various Freelance Ai Operations job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $50,239 per year, or $24.2 per hour.

Senior Product Manager, Coding -- Handshake AI

Cacheflow

San Francisco, CA • On-site

$210 - $260/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

About Handshake

Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.

Why join Handshake now:

  • Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel

  • Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

  • Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others

  • Build a massive, fast-growing business with billions in revenue

About the Role

Handshake AI powers expert-labeled data collection at scale, matching domain experts with leading AI companies to train frontier models. We're hiring a Senior Product Manager, Coding to own the roadmap for one of our frontier data modalities: coding. You'll define what we build, for whom, and on which surfaces as we learn what customers need from human data for training models to write, debug, and reason about code.

This role is analogous to our RLE (Reinforcement Learning Environments) PM. You'll operate in high ambiguity—customers are still figuring out what \"good\" looks like, and the scope of coding as a data type is evolving. Your job is to navigate that ambiguity, narrow scope where it matters, and ship a coherent product that scales. You'll work closely with a cross-functional squad (engineering, design, operations) and with customer-facing teams to turn early signals into a repeatable offering.

You’ll own the coding modality end-to-end, including:

  • Product strategy. Develop the product vision and roadmap for coding as a human data modality. Define the right scope (e.g., code review, debugging, generation, reasoning) and the right surfaces (platform capabilities, fellow training, quality bar) as we learn from customers.

  • Customer discovery. Spend time with AI labs and internal stakeholders to understand how they use coding data, what standards they care about, and where our current offering falls short. Turn discovery into prioritized bets.

  • Roadmap and scope. Make hard tradeoffs. We can't build everything; you'll decide what we build first and what we defer, and communicate that clearly to engineering, operations, and leadership.

  • Cross-functional leadership. Lead a squad with engineering and design partners. Partner with Operator Experience, Fellow Experience, and other modality PMs—your scope enables and constrains theirs.

  • Goals and metrics. Define success for the coding modality (e.g., capacity deployed, quality outcomes, time-to-staff). Track progress and hold the team accountable.

  • Launch and iteration. Run pilots, gather feedback, and iterate. You'll be close to the first few projects and responsible for turning early wins into repeatable patterns.

Required Background
  • Software development experience. You must have worked as a software developer at a tech company. FAANG or equivalent is strongly preferred. The standards and practices that matter for this data type are often discussed in terms of what those companies do; you need to speak that language and assess what \"good\" looks like.

  • Small startup experience. You must have operated on a small, early-stage team in a context where you were discovering customer problems, not just executing a known playbook. You're comfortable with ambiguity, shifting scope, and defining the problem as much as solving it.

Desired Capabilities
  • 5+ years in product, including time as a PM partnering with engineering to ship. Experience in a frontier or emerging domain (new data type, new customer segment, 0→1) is a strong plus.

  • Technical credibility. You can read and reason about code, review technical specs, and have informed opinions about code quality, review practices, and developer workflows. You don't need to code day-to-day, but you've done it professionally.

  • Comfort with ambiguity. You've worked in environments where the problem wasn't fully defined. You're good at narrowing scope, saying no, and turning messy feedback into a clear direction.

  • Customer- and data-informed. You use discovery and data to prioritize, but you also make decisions when the signal is incomplete. You're action-oriented.

  • Systems thinker. You see how the coding modality connects to platform, operations, fellow training, and quality. You spot dependencies and edge cases and factor them into roadmap decisions.

Bonus Points
  • Experience at a human data company, AI lab, or devtools company

  • Prior role owning a frontier or net-new product area (0→1, new modality, or new segment)

  • Familiarity with AI/ML training data, annotation workflows, or code evaluation benchmarks

We Offer

Handshake delivers benefits that help you feel supported and thrive at work and in life.

The below benefits are for full-time US employees.

  • Ownership: Equity in a fast-growing company
  • Financial Wellness: 401(k) match, competitive compensation, financial coaching
  • Family Support: Paid parental leave, fertility benefits, parental coaching
  • Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
  • Growth: $2,000 learning stipend, ongoing development
  • Remote & Office: Internet, commuting, and free lunch/gym in our SF office
  • Time Off: Flexible PTO, 15 holidays + 2 flex days
  • Connection: Team outings & referral bonuses

Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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