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Ai Operator Jobs (NOW HIRING)

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.

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 ...

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 ...

This leader will drive AI transformation programs, establish scalable AI operating models, and partner with executive stakeholders to accelerate innovation and business value realization. The ideal ...

This leader will drive AI transformation programs, establish scalable AI operating models, and partner with executive stakeholders to accelerate innovation and business value realization. The ideal ...

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 ...

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Ai Operator information

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$10

$23

$37

How much do ai operator jobs pay per hour?

As of Jun 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 job makes $10,000 a month without a degree?

An AI operator can potentially earn $10,000 or more per month by managing and optimizing AI systems, especially in high-demand industries like technology and finance. Success in this role depends on strong technical skills, experience with AI tools, and the ability to work independently or in a team environment. While a degree is not always required, relevant certifications or self-taught expertise can be beneficial.

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-level position in artificial intelligence, such as a senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may be found in large tech companies or research institutions with competitive compensation packages. Such salaries reflect the high demand for AI expertise and the complexity of the work involved.

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.

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.

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:
Infographic showing various Ai Operator job openings in the United States as of June 2026, with employment types broken down into 56% Full Time, 42% Part Time, 1% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.

Eloquent AI Fellowship Program

Eloquent AI

San Francisco, CA • On-site

Full-time

Posted 6 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.
Accelerate Your AI Career at Eloquent AI
The Eloquent AI Fellowship is a high-impact, hands-on program designed for STEM PhDs, post-docs, and early-career AI researchers looking to transition into the world of applied AI. If you're eager to develop, deploy, and optimize AI agents while gaining real-world experience in enterprise AI applications, this program is for you.
Through a structured, immersive experience, you'll work alongside AI engineers, product managers, and researchers, gaining exposure to AI model development, MLOps, and conversational AI systems. You'll leave the program ready to take on leadership roles in AI product development, engineering, or research.
You'll also have the opportunity to collaborate with Prof. Aldo Lipani, Eloquent AI co-founder, whose pioneering research has advanced fine-tuning, evaluation methods, and simulators for LLMs. You'll work on research projects involving AI evaluation, model robustness, and scalable testing frameworks-scientifically measuring, reproducing, and optimizing AI performance.
Program Structure
The Eloquent AI Fellowship is a 12-week rotational program providing in-depth exposure to AI engineering, applied ML, and AI-driven product management.
AI Engineering (6 weeks): Work on training, fine-tuning, and deploying AI agents that power enterprise-grade conversations. Gain hands-on experience in LLMs, RAG pipelines, prompt engineering, and inference optimization.
AI Product Development (4 weeks): Collaborate with AI product teams to design, iterate, and integrate AI solutions into enterprise applications. Learn how to bridge the gap between cutting-edge AI research and real-world impact.
Industry Applications & Capstone (2 weeks): Apply what you've learned in a real-world AI project, working with Eloquent AI's product, engineering, and research teams to solve enterprise challenges.
You'll be mentored by top AI practitioners and receive exclusive access to industry-leading resources, including AI speaker series, hands-on workshops, and networking with enterprise AI leaders.
You will:
  • Develop and deploy AI-powered agents, working with LLMs, RAG, and enterprise automation workflows.
  • Gain hands-on experience in AI infrastructure, including LLMOps, MLOps, cloud deployment, and model optimization.
  • Work on full-stack AI applications, collaborating with engineers and PMs to build scalable AI-driven products.
  • Translate AI research into practical applications, integrating the latest advances in language models, embeddings, and retrieval techniques.
  • Work directly with Eloquent AI's leadership, learning from top AI engineers and product innovators.
Requirements
This program is open to postdocs, current or recently graduated PhDs, and MSc students in STEM fields with a strong interest in AI applications.
  • Current or completed PhD or MSc degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
  • Strong mathematical foundation, particularly in statistics, linear algebra, and optimization techniques.
  • Programming experience, ideally in Python, with familiarity in ML frameworks like PyTorch and TensorFlow.
  • Interest in AI product development, data science, or machine learning engineering.
  • Ability to work in a fast-paced, collaborative AI-driven environment.

Bonus Points If...
  • You have experience with LLMs, NLP, or Retrieval-Augmented Generation (RAG).
  • You've contributed to open-source AI projects or published research in AI/ML conferences (NeurIPS, ICML, ICLR, NLP, SIGIR, etc.).
  • You have hands-on experience with LLMOps, MLOps, cloud-based AI infrastructure, or AI deployment at scale.
  • You have experience in AI strategy, product management, or business applications of AI.