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Ai Operator Jobs (NOW HIRING)

Eloquent AI

Agent Deployment Manager

San Francisco, CA · On-site

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision.

Dust

Brand and Content Strategist

New York, NY · On-site

$200K - $260K/yr

Champion the AI Operators who are rewiring how work gets done inside their companies * Tell the story of how Dust runs on Dust and develop compelling programs with customers and ecosystem partners ...

TIFIN

AI Engineering Intern, TIFIN.ai

Boulder, CO

$17 - $25/hr

ROLE OVERVIEW TIFIN.ai is the AI operating layer for the wealth enterprise, a platform offering an agent library to address workflows across operations, investments and growth. Our north star is ...

TIFIN

AI Engineering Intern, TIFIN.ai

Boulder, CO · On-site

$17 - $25/hr

WHO WE ARE TIFIN builds the AI operating layer for wealth. Our platform delivers agentic workflows across the industry's core personas-investors, advisors, investment teams, and operations-so ...

Celonis

Lead Value Engineer - Public Sector

$104K - $138K/yr

As a master AI operator, your core mandate is to support complex roadmaps and execute targeted transformation initiatives that improve how these businesses operate across their ecosystems. The work ...

Kastle

Staff AI Engineer

San Francisco, CA · On-site

Kastle is building an AI operating system for consumer lending, focusing on mortgage solutions. The role involves fine-tuning large language models and designing AI workflows for compliance in ...

TIFIN

Lead, Quant AI Investments, TIFIN.ai

Boulder, CO · On-site

$150K - $225K/yr

WHO WE ARE TIFIN builds the AI operating layer for wealth. Our platform delivers agentic workflows across the industry's core personas-investors, advisors, investment teams, and operations-so ...

TIFIN

Lead, Quant AI Investments, TIFIN.ai

Boulder, CO

$150K - $225K/yr

TIFIN.ai is the AI operating layer for the wealth enterprise, a platform offering an agent library to address workflows across operations, investments and growth. Our north star is delivering better ...

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Ai Operator information

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$10

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How much do ai operator jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai operator in the United States is $23.04, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $21.88 per hour, depending on experience, location, and employer.

What is an AI operator?

An AI Operator is responsible for managing, monitoring, and optimizing artificial intelligence systems to ensure they function efficiently and effectively. They work with machine learning models, troubleshoot AI-related issues, and oversee the deployment of AI-driven solutions. Their role often requires technical skills in data processing, software tools, and automation workflows to maintain system performance and reliability. AI Operators may collaborate with engineers and data scientists to enhance AI capabilities and implement improvements.

What does an AI operator do?

An AI Operator is responsible for monitoring and maintaining AI systems, ensuring their optimal performance and addressing any malfunctions or anomalies that arise. This often includes reviewing AI-generated outputs, troubleshooting technical issues, updating software, performing regular system health checks, and coordinating with data scientists, engineers, or end-users to meet operational goals. Many AI Operators work in a collaborative, team-based environment where timely communication and documentation are essential. The role may also involve reporting on system metrics, assisting with model retraining, and supporting the deployment of updates or improvements.

What are the key skills and qualifications needed to thrive as an AI operator?

To thrive as an AI Operator, you need a foundational understanding of machine learning workflows, computer science principles, and proficiency with data processing, typically supported by a relevant technical degree or certification. Familiarity with AI management platforms, automated monitoring tools, and scripting languages like Python is highly valuable. Attention to detail, problem-solving skills, and effective communication are important soft skills for this role. These capabilities ensure smooth AI system operations, rapid issue resolution, and effective collaboration within multidisciplinary teams.

How much does an AI operator 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 operators with specialized skills or certifications can earn higher salaries.

How to become an AI operator?

To become an AI operator, you typically need a background in computer science, data analysis, or related fields, along with knowledge of AI and machine learning tools. Gaining experience with programming languages like Python and understanding AI frameworks such as TensorFlow or PyTorch is essential. Certifications in AI or data science can also enhance your qualifications for this role.
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Ai Operator jobs near you
Infographic showing various Ai Operator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.

Agent Deployment Manager

Eloquent AI

San Francisco, CA • On-site

Full-time

Re-posted 4 days ago

Job description

Meet Eloquent AI
At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments.
We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.
Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.
Your Role
As an Agent Deployment Manager at Eloquent AI, you'll be responsible for leading the end-to-end deployment of our AI Agents and Operators into enterprise environments. You'll work directly with customers to scope use cases, manage configurations, monitor performance, and ensure successful go-lives.
This is a customer-facing, deployment-focused role ideal for someone who excels at translating business needs into system logic, coordinating across teams, and ensuring that AI-powered workflows deliver real-world value.
What You'll Do
  • You'll manage the full deployment lifecycle of AI Operators, from kick-off to go-live, with enterprise customers
  • Partner with customers to understand business processes, scope requirements, and align on deployment goals and success criteria
  • Coordinate configuration, testing, and validation of Operators using internal tools and prompt design frameworks
  • Collaborate cross-functionally with Product, Engineering, and AI teams to resolve edge cases and ensure long-term success
  • Participate in a 24/7 on-call rotation, coordinating responses to critical customer-facing incidents in line with company incident-management processes. Act as a first responder during incidents, taking ownership of investigation and coordination, even when issues extend beyond your immediate area of expertise, by engaging the right teams and driving resolution end-to-end
  • Contribute to improving deployment playbooks, escalation processes, and operational readiness over time
What You'll Bring
  • 3-5 years of experience in solution delivery, implementation or technical project management in a B2B SaaS environment.
  • At least 1 year of hands-on experience working with LLMs, including a solid understanding of agent behaviour, prompt iteration, and system constraints.
  • Ability to map complex workflows into structured logic and work closely with technical teams to implement them effectively.
  • Strong communication and organisational skills to conduct customer meetings, manage timelines, and drive execution. A strong sense of ownership to track results, and ensure nothing falls through the cracks.
  • A background in Data Science, Computer Science, Engineering, or another STEM field, or equivalent relevant practical experience in a technical or engineering role.
Bonus Points If...
  • You have some hands-on coding or scripting experience with Python, as well as React and TypeScript and are comfortable reading and working alongside production code.
  • You have experience deploying AI-powered tools, chat-based interfaces, or automation products.
  • You've delivered projects in fintech, insurance, banking, or other regulated industries
  • You're comfortable operating in high-ambiguity, fast-moving environments where customer impact and reliability come first.

Apply