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Ai Operator Jobs (NOW HIRING)

Broccoli AI

AI Strategy Lead

San Francisco, CA · On-site

$180K - $230K/yr

About Broccoli AI Broccoli AI is building the AI operating system for home service businesses . We work with plumbing, HVAC, and electrical contractors, the people who keep homes running, and we ...

Eloquent AI

AI Engineer, Multimodal LLMs

San Francisco, CA · On-site

$93K - $124K/yr

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.

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 work with plumbing, HVAC, and electrical contractors - the people who keep homes running - and we ...

Broccoli AI

AI Strategy Senior Director

San Francisco, CA · On-site

$270K - $350K/yr

About Broccoli AI Broccoli AI is building the AI operating system for home service businesses . We work with plumbing, HVAC, and electrical contractors, the people who keep homes running, and we ...

Broccoli AI

Head of AI Success

San Francisco, CA · On-site

$200K - $300K/yr

About Broccoli AI Broccoli AI is building the AI operating system for home service businesses . We work with plumbing, HVAC, and electrical contractors - the people who keep homes running - and we ...

Crescendo.ai

AI Innovation Lead

San Francisco, CA · On-site

These roles are hands‑on builders and operators who turn AI capability into real business impact inside functions like GTM, Operations, G&A, Product, and Corporate teams . This role may sit in ...

Broccoli AI

Staff Software Engineer

San Francisco, CA · On-site

$200K - $350K/yr

About Broccoli Broccoli is building the AI operating system for home service businesses . We work with plumbing, HVAC, and electrical contractors - the people who keep homes running - and we replace ...

Dell, Inc.

Advisory AI Strategist (FDE Unit)

New York, NY · On-site +1

$320K - $414K/yr

Help design or improve AI operating models and governance so proofs of value can become production solutions. * Align stakeholders across business, IT, data, and risk functions around AI priorities ...

Dell, Inc.

Advisory AI Strategist (FDE Unit)

Albany, NY · On-site +1

$320K - $414K/yr

Help design or improve AI operating models and governance so proofs of value can become production solutions. * Align stakeholders across business, IT, data, and risk functions around AI priorities ...

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.

Henry Day Ford

AI Platform Operator

Salt Lake City, UT · On-site

$18.25 - $22/hr

AI Platform Operator Ken Garff AutomotiveGroup AITeam Salt Lake City (Hybrid) Summary Ken Garff Automotive Group is building a brand-new AI team and looking for an AI Platform Operator to own the day ...

New

EnerSys

VP Enterprise AI Enablement

Omaha, NE · On-site

$275K - $315K/yr

This role owns the enterprise AI operating model endtoend, transitioning from external advisory support to a fully embedded, internally led capability and ensures AI is effectively integrated into ...

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Ai Operator information

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How much do ai operator jobs pay per hour?

As of Jul 13, 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 a professional responsible for managing, monitoring, and maintaining artificial intelligence systems and algorithms. They often work with machine learning models, data processing tools, and AI software to ensure optimal performance and accuracy in various applications.

What are the typical daily responsibilities of an AI Operator?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, often involving advanced skills in machine learning, data analysis, and programming. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

How much does an AI operator make?

The average salary for an AI operator ranges from $50,000 to $100,000 per year, depending on experience, location, and the complexity of tasks handled. Entry-level positions may start lower, while experienced operators with specialized skills in machine learning and data management can earn higher salaries.

What are the key skills and qualifications needed to thrive in the Ai Operator position, and why are they important?

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.

Which AI job is high paying?

AI roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist typically offer the highest salaries in the field. These positions often require advanced skills in programming, data analysis, and familiarity with AI frameworks, and they tend to be well-compensated due to their technical complexity and demand.

What is an AI Operator job?

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.

More about Ai Operator jobs
What cities are hiring for Ai Operator jobs? Cities with the most Ai Operator job openings:
What are the most commonly searched types of Ai Operator jobs? The most popular types of Ai Operator jobs are:
What states have the most Ai Operator jobs? States with the most job openings for Ai Operator jobs include:
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Ai Operator jobs near you
Infographic showing various Ai Operator job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,930 per year, or $23 per hour.

AI Engineer, AIOps & Infrastructure

Eloquent AI

San Francisco, CA • On-site

$126K - $166K/yr

Full-time

Re-posted 14 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 a Senior Software Engineer, AIOps & Infrastructure at Eloquent AI, you will be responsible for designing, building, and optimizing scalable, high-performance AI infrastructure to support the deployment and operation of our enterprise AI agents. Your work will enable machine learning engineers and AI teams to train, fine-tune, and deploy LLMs efficiently while ensuring stability, observability, and performance at scale.
You'll play a key role in automating LLMOps and MLOps workflows, optimizing GPU workloads, and ensuring resilient, production-ready AI systems. This role requires deep expertise in cloud infrastructure, Kubernetes, and LLM and ML deployment pipelines. If you're passionate about scalable AI systems and optimizing ML models for real-world applications, this is your opportunity to work at the frontier of LLMOps.
You will:
  • Design and build scalable ML infrastructure for deploying and maintaining AI agents in production.
  • Automate LLMOps and MLOps workflows, ensuring seamless model training, fine-tuning, deployment, and monitoring.
  • Optimize GPU and cloud compute workloads, improving efficiency and reducing latency for large-scale AI systems.
  • Develop Kubernetes-based solutions, including custom operators for ML model orchestration.
  • Improve system observability and reliability, implementing logging, monitoring, and performance tracking for AI models.
  • Work with ML and engineering teams to streamline data pipelines, model serving, and inference optimizations.
  • Ensure security, compliance, and reliability in AI infrastructure, maintaining high availability and scalability.
  • Participate in on-call rotations, ensuring 24/7 reliability of critical AI systems.

Requirements
  • 5+ years of experience in software engineering, MLOps, or infrastructure development.
  • Strong expertise in Kubernetes and experience managing containerized ML workloads.
  • Deep understanding of cloud platforms (AWS, GCP, Azure) and distributed computing.
  • Proficiency in Python, with experience developing services for ML/AI applications.
  • Experience with ML model deployment pipelines, including model serving, inference optimization, and monitoring.
  • Familiarity with vector databases, retrieval systems, and RAG architectures is a plus.
  • Strong problem-solving skills and the ability to work in a high-scale, production-focused AI environment.

Bonus Points If...
  • You have experience with LLMOps, fine-tuning, and deploying large-scale AI models.
  • You've worked with GPU workload optimization, ML model parallelization, or distributed training strategies.
  • You have experience building infrastructure for AI-powered applications.
  • You've contributed to open-source MLOps tools or AI infrastructure projects.
  • You thrive in a fast-moving startup environment and enjoy solving complex technical challenges.

Apply