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Home Based Ai Operations Jobs (NOW HIRING)

Broccoli AI

AI Operations Lead

San Francisco, CA · On-site

$150K - $200K/yr

About Broccoli AI Broccoli AI is building the AI operating system for home service businesses . We ... Raised $25M+ from Khosla Ventures and YC The Role We are hiring an AI Operations Lead to build the ...

Rain

AI Operations Lead

New York, NY · On-site

$50K/yr

Iterate based on data and feedback. * Support Rain's AI Foundations: Develop the core primitives ... New Rainmakers will have a stipend to create a comfortable atmosphere at home. Easy to access ...

Assort Health

AI Operations Lead

... AI Operations Lead to drive AI adoption across its business teams. The role involves building AI ... platforms based on what ships fastest without compromising rigor • Define agent and skill ...

NorthEastern

AI Operations Specialist

Boston, MA · On-site

JOB SUMMARY The AI Operations Specialist will be responsible for the day-to-day management ... Contribute to the evolution of MLOps practices based on operational experience and emerging best ...

Rokt

AI Operations Accelerator

New York, NY · On-site

$90K - $136K/yr

... based on competency and ability. Rokt'stars constantly strive to raise the bar, pushing the ... We are looking for an AI Operations Accelerator Target total compensation ranges from $90,000 ...

Assort Health

AI Operations Lead

San Francisco, CA · On-site

$160K - $220K/yr

Mix custom code, APIs, and no/low-code platforms based on what ships fastest without compromising ... AI operations, technical revops/bizops, GTM engineering, forward deployed engineering, sales ...

Giftogram

AI Operations Manager

Whippany, NJ · On-site

$70K - $90K/yr

About the Role We're hiring an AI Operations Manager who thinks like an engineer but wants to ... Competitive base salary based on experience * A front-row seat to how a modern B2B company builds ...

Cube Software

AI Operations Engineer

New York, NY · On-site

$120K - $140K/yr

Develop and manage RAG systems so Sales, Support, and internal teams receive answers based only on ... operations. * Embed AI functionality into tools such as Slack, Salesforce, and Guru so support is ...

ACA Group

AI Operations Engineer

Durham, NC · Hybrid

$67K - $90K/yr

About the Role We are seeking an AI Operations Engineer to help support and optimize our next ... We offer a competitive compensation package where you'll be rewarded based on your performance and ...

Giftogram

AI Operations Manager

Whippany, NJ · On-site

$70K - $90K/yr

About the Role We're hiring an AI Operations Manager who thinks like an engineer but wants to ... Competitive base salary based on experience * A front-row seat to how a modern B2B company builds ...

ApartmentIQ

AI Operations Lead

Charleston, WV · Remote

$140K/yr

Iteratively improve deployed workflows based on user behavior, qualitative feedback, and ... We offer the freedom to work from home across most of the U.S. You'll enjoy the flexibility of ...

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Home Based Ai Operations information

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How much do home based ai operations jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for home based 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 the difference between Home Based Ai Operations vs Data Labeling Specialist?

AspectHome Based Ai OperationsData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in AI toolsExperience with data annotation tools, attention to detail
Work EnvironmentRemote, home-basedRemote or on-site, often home-based
Industry UsageAI development, machine learning projectsData preparation for AI models
Search & Comparison IntentUnderstanding roles in AI operationsFocus on data annotation tasks

Home Based Ai Operations involve managing and supporting AI workflows remotely, often requiring technical skills and understanding of AI systems. Data Labeling Specialists focus on annotating data to train AI models, sharing similar remote work environments. While both roles support AI development, Home Based Ai Operations encompass broader responsibilities beyond data labeling, including system monitoring and troubleshooting.

More about Home Based Ai Operations jobs
What cities are hiring for Home Based Ai Operations jobs? Cities with the most Home Based 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 Home Based Ai Operations jobs? States with the most job openings for Home Based Ai Operations jobs include:
What job categories do people searching Home Based Ai Operations jobs look for? The top searched job categories for Home Based Ai Operations jobs are:
Home Based Ai Operations jobs near you
Infographic showing various Home Based Ai Operations job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $50,239 per year, or $24.2 per hour.

AI Operations Specialist

Bretton AI

San Francisco, CA • On-site

$90K - $105K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Job description

About Bretton AI
Bretton AI is the leading AI agent platform for financial services. Companies like Robinhood, Mercury, and Gusto trust us to automate mission-critical work, starting with anti-money laundering (AML) and counter-terrorist financing investigations.
We've raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures, and other top-tier investors. We're based in downtown San Francisco and our team comes from world-class organizations like SpaceX, Google, Netflix, Stripe, Plaid, and more.
The Role
We're looking for a detail-oriented, analytically-minded person to join our AI Operations team. You'll be on the front lines of ensuring our AI agents are performant for banks and fintechs fighting financial crime at scale - monitoring quality, testing new features, and working directly with engineering and customers to keep our platform running at its best.
This is a rare opportunity to learn how cutting-edge AI systems work in production while making a real impact on global financial security.
What You'll Do
  • Conduct quality reviews of AI agents to ensure they meet the highest standards for compliance teams at banks and fintechs
  • Test new features and custom logic before they go live for customers
  • Analyze case data to identify patterns, issues, and opportunities for improvement
  • Work directly with engineering to understand and measure the impact of system changes
  • Learn state-of-the-art AI monitoring techniques including performance drift detection, human scoring pipelines, and dataset preparation
  • Support our largest customers by providing operational insights and recommendations
  • Partner with product and engineering to translate operational findings into platform improvements

What Success Looks Like
  • Month 1: Master our AI platform and learn complex compliance workflows. Shadow experienced team members and begin conducting your first case reviews.
  • Month 2: Take ownership of operational support for major customer deployments. Conduct detailed quality assessments and partner with engineering to improve system performance.
  • Ongoing: Become the go-to expert for AI operations, conducting critical reviews that directly shape product development and customer success.

What We're Looking For
  • 1-3 years of professional experience or equivalent internship experience
  • Strong analytical and critical thinking skills with exceptional attention to detail
  • Ability to review complex information and identify patterns or issues
  • Comfortable learning new technical systems independently
  • Strong written and verbal communication skills
  • Excited to work in a fast-paced startup environment
Bonus Points
  • Exposure to financial services, fintech, or regulated industries
  • Experience at a fast-paced startup
  • Familiarity with coding/scripting - SQL, dashboards, quick scripts
  • Customer-facing experience in any capacity
  • Genuine interest in AI/ML systems and how they're deployed in the real world

Compensation & Benefits
  • $90k - $105k base salary + equity
  • Comprehensive healthcare, 401k matching, commuter benefits
  • 15 days PTO + holidays, unlimited sick days
  • Flexible leave options
  • Working late? We've got you covered with DoorDash and an Uber home

Apply