ZipRecruiter

Log In

1

Ai Operations Jobs (NOW HIRING)

Bretton AI

AI Operations Specialist

San Francisco, CA · On-site

$90K - $105K/yr

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 ...

Broccoli AI

AI Operations Lead

San Francisco, CA · On-site

$150K - $200K/yr

Raised $25M+ from Khosla Ventures and YC The Role We are hiring an AI Operations Lead to build the internal systems that enable Broccoli to scale. As we 5x headcount in 2026, leverage is everything ...

Giftogram

AI Operations Manager

Whippany, NJ

AI Operations Manager Giftogram is the leading B2B digital gift card and rewards platform, helping companies send meaningful incentives, recognition, and rewards at scale. We work with enterprise ...

Atonom

Associate AI Operations

Provo, UT

Associate AI Operations Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that ...

Atonom

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

Associate AI Operations Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that ...

Atonom

Associate AI Operations

Provo, UT · On-site

Salary: $50,000 to $90,000 Associate AI Operations Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ...

NorthEastern

AI Operations Specialist

Boston, MA

JOB SUMMARY The AI Operations Specialist will be responsible for the day-to-day management, monitoring, and operational support of the university's AI systems and data pipelines across various ...

Transamerica

AI Operations Lead

Cedar Rapids, IA · On-site

We are seeking an experienced AI Operations (Platform) Lead to evolve the organizations AI platform and operational services, develop and mature AI operations and customer support processes, drive ...

FAM Brands

$57 - $78/hr

SUMMARY AI Operations as a Core Mandate DevOps alone is not sufficient for this role. The AI Operations dimension is equally critical. This individual is expected to own the operational governance ...

Veryon

AI Operations Manager

About the Role The AI Operations Manager is responsible for partnering with business functions to identify requirements, design solutions, and operationalize AI-enabled tools and workflows that drive ...

Giftogram

AI Operations Manager

Whippany, NJ · On-site

They are seeking an AI Operations Manager who will apply their technical foundation to architect systems, solve operational problems, and drive business outcomes across the revenue organization.

Veryon

AI Operations Manager

San Francisco, CA · On-site

About the Role The AI Operations Manager is responsible for partnering with business functions to identify requirements, design solutions, and operationalize AI-enabled tools and workflows that drive ...

Assort Health

AI Operations Lead

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a hands-on AI Operations Leader to help us move faster, reduce operational drag, and unlock leverage across the company. You are the hands-on builder, problem solver, and strategist ...

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 operate like a business builder. This role is purpose-built for analytically minded people who are ...

Aegon

AI Operations Lead

Denver, CO · On-site

We are seeking an experienced AI Operations (Platform) Lead to evolve the organizations AI platform and operational services, develop and mature AI operations and customer support processes, drive ...

next page

Showing results 1-20

All JobsAi Operations Jobs

Ai Operations information

See salary details

$9

$24

$49

How much do ai operations jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for 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.

How does an AI Operations professional typically collaborate with data scientists and IT teams?

AI Operations professionals often act as a bridge between data science teams, who develop machine learning models, and IT teams, who manage infrastructure. They work closely to ensure models are deployed smoothly, monitored for performance, and integrated into production environments. Regular communication and troubleshooting are essential, as AI Ops professionals must understand both the technical requirements of the models and the operational constraints of the systems. This collaborative approach helps maintain reliability and scalability of AI solutions in a business setting.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI executive roles, senior data scientists, or AI research directors, often requiring advanced skills in machine learning, deep learning, and leadership. These roles usually involve overseeing AI strategy, managing teams, and working with complex algorithms, and they often come with high compensation packages due to their expertise and impact on business outcomes.

What do AI operations do?

AI operations involve managing and maintaining AI systems to ensure they run efficiently, reliably, and securely. This includes tasks such as deploying models, monitoring performance, troubleshooting issues, and implementing updates, often using tools like automation scripts and cloud platforms. Professionals in this field need strong technical skills in AI, data management, and system administration.

What job makes $10,000 a month without a degree?

In AI operations, roles such as AI project managers, machine learning engineers, or data scientists can earn $10,000 or more monthly with relevant skills and experience, often without requiring a traditional degree if demonstrated expertise and certifications are present. Success in these roles depends on technical proficiency, problem-solving ability, and industry experience, with many professionals gaining skills through online courses and hands-on projects.

How much do AI operators make?

AI operators typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of tasks. Entry-level positions may start lower, while experienced professionals with specialized skills in machine learning and data management can earn higher salaries.

What are AI Operations?

AI Operations, often referred to as AIOps, is the use of artificial intelligence and machine learning technologies to automate and enhance IT operations. It involves analyzing large volumes of data generated by IT systems to detect issues, predict outages, and automate responses. AIOps helps organizations improve efficiency, reduce downtime, and quickly resolve problems by providing actionable insights and automating repetitive tasks. This approach is increasingly important as IT environments become more complex and data-driven.

What are the key skills and qualifications needed to thrive as an AI Operations professional, and why are they important?

To thrive in AI Operations, you need a strong background in computer science, data analytics, and machine learning, often supported by a degree in a related field. Familiarity with tools like Python, TensorFlow, cloud platforms (e.g., AWS, Azure), and experience with AI/ML monitoring systems is essential. Critical thinking, problem-solving, and effective communication are key soft skills for managing incidents and collaborating with cross-functional teams. These skills ensure the smooth deployment, monitoring, and optimization of AI systems, which are vital for operational reliability and business success.

What is the difference between Ai Operations vs Data Scientist?

AspectAi OperationsData Scientist
Required CredentialsCertifications in AI/ML, programming skillsStatistics, data analysis, programming
Work EnvironmentOperational teams, AI deployment, maintenanceResearch, data analysis, modeling
Industry UsageAI system management, deployment, monitoringData analysis, predictive modeling, research

Ai Operations focuses on managing and maintaining AI systems in production, ensuring their performance and reliability. Data Scientists primarily analyze data, develop models, and generate insights. While both roles require technical skills and programming knowledge, Ai Operations emphasizes deployment and operational stability, whereas Data Scientists focus on data analysis and model development.

More about Ai Operations jobs
What cities are hiring for Ai Operations jobs? Cities with the most 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 Ai Operations jobs? States with the most job openings for Ai Operations jobs include:
What job categories do people searching Ai Operations jobs look for? The top searched job categories for Ai Operations jobs are:
Ai Operations jobs near you

AI Operations Specialist

Bretton AI

San Francisco, CA • On-site

$90K - $105K/yr

Full-time

Medical, Retirement, PTO

Posted 27 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