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Artificial Intelligence Operator Jobs in Romeoville, IL

Lead Business Transformation Architect

Chicago, IL · On-site

$57 - $78/hr

Translating business needs into artificial intelligence and machine learning roadmaps and scalable ... We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ...

Job Overview The Forklift Operator (Overnight shift, 10:00pm - 6:30am) is within our Auto/Car Care ... NOTICE TO EMPLOYEES AND APPLICANTS REGARDING THE USE OF ARTIFICIAL INTELLIGENCE (AI) Our Commitment ...

Job Overview The Forklift Operator (Overnight shift, 10:00pm - 6:30am) is within our Auto/Car Care ... NOTICE TO EMPLOYEES AND APPLICANTS REGARDING THE USE OF ARTIFICIAL INTELLIGENCE (AI) Our Commitment ...

Grinder Operator

Carol Stream, IL

$18 - $22.50/hr

Grinder Operator The Grinder Operator will locate and stage material, and to produce quality ... Our hiring process may include the use of artificial intelligence (AI) to assist in recruiting ...

Machine Operator

Carol Stream, IL · On-site

$18 - $21/hr

Machine Operator | $18-$21/Hour 1st, 2nd & 3rd Shift Openings 🔧 What You'll Do * Operate ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Stand‑Up Forklift Operator (2nd Shift) - Lockport, IL | $20.25/hr.Position Summary We are hiring ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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Artificial Intelligence Operator information

What jobs pay $2000 a day?

High-paying roles for Artificial Intelligence Operators or related tech professionals can reach $2000 a day, especially for freelance consultants, specialized AI project managers, or senior data scientists with extensive experience and advanced skills. These positions often require expertise in machine learning, deep learning, or AI development, and may involve contract work or consulting arrangements. Such high daily rates are typically associated with independent contractors or those working on complex, high-stakes projects.

What are some common challenges faced by Artificial Intelligence Operators when maintaining AI systems in a production environment?

Artificial Intelligence Operators often encounter challenges such as monitoring model performance, detecting data drift, and responding to unexpected system behaviors in real time. They must balance ensuring system uptime with the need to troubleshoot and optimize models as data and business needs evolve. Collaboration with data scientists, engineers, and IT staff is essential to quickly resolve incidents and implement updates or patches. Staying current with best practices in model deployment and ethical AI use also presents an ongoing learning curve.

What does an AI operator do?

An AI operator manages and monitors artificial intelligence systems, ensuring they function correctly and efficiently. They may troubleshoot issues, adjust parameters, and work with data and AI tools to optimize performance, often requiring knowledge of programming, machine learning, and data analysis.

What is the difference between Artificial Intelligence Operator vs Data Analyst?

AspectArtificial Intelligence OperatorData Analyst
Required CredentialsRelevant certifications in AI, machine learning, or data science; often a degree in computer science or related fieldDegree in statistics, mathematics, or related field; certifications in data analysis tools
Work EnvironmentTech companies, AI development labs, or data-driven organizations; working with AI models and algorithmsBusiness environments, research firms, or consulting; analyzing datasets and generating reports
Employer & Industry UsagePrimarily in AI and tech industries, focusing on AI system operation and maintenanceAcross various industries including finance, marketing, healthcare, focusing on data interpretation

While both roles involve working with data, Artificial Intelligence Operators focus on managing and maintaining AI systems, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills but differ in their primary focus and tools used.

How much do AI operators make?

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

What is an Artificial Intelligence Operator?

An Artificial Intelligence Operator is a professional responsible for managing, monitoring, and maintaining AI systems and applications. They ensure that AI models perform as expected, troubleshoot issues, and optimize the deployment of AI solutions in various environments. Their role often involves working with data scientists, software engineers, and IT specialists to oversee the lifecycle of AI technologies, including updates, scaling, and compliance. Artificial Intelligence Operators play a crucial role in bridging the gap between AI development and practical, reliable operation in real-world settings.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Operator, and why are they important?

To thrive as an Artificial Intelligence Operator, you need a solid understanding of computer science fundamentals, data analysis, and AI concepts, typically supported by a relevant degree or technical training. Familiarity with AI platforms, machine learning frameworks (such as TensorFlow or PyTorch), and data management systems is essential, along with certifications in AI or cloud technologies being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help operators adapt to rapidly changing technologies and collaborate with diverse teams. These skills ensure effective deployment, monitoring, and optimization of AI systems, enabling organizations to leverage AI solutions reliably and ethically.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, developing innovative algorithms, and managing large teams or projects, and they usually offer compensation packages including salary, bonuses, and stock options.
What job categories do people searching Artificial Intelligence Operator jobs in Romeoville, IL look for? The top searched job categories for Artificial Intelligence Operator jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Artificial Intelligence Operator jobs? Cities near Romeoville, IL with the most Artificial Intelligence Operator job openings:
Principal Artificial Intelligence Engineer

Principal Artificial Intelligence Engineer

Request Technology, LLC

Chicago, IL • Hybrid

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

***Hybrid, 3 days onsite, 2 days remote***

***We are unable to sponsor as this is a permanent full-time role***

Responsibilities:

  • Partner with the Executive Director of AI Engineering to define and execute the AI technical roadmap, translating organizational priorities into concrete architectural decisions
  • Lead the company s agentic AI efforts: architect, build, and operate systems that connect AI agents to internal systems, data pipelines, and business workflows
  • Leverage the company s direct relationships with AWS and Anthropic to evaluate and adopt new model capabilities and tooling as they become available
  • Build and ship production AI applications on AWS using Claude and related Anthropic tooling, maintaining high standards for reliability, security, and auditability
  • Architect scalable systems that integrate LLMs and AI agents into company s internal systems, operational workflows, and business processes, owning decisions from design through production deployment
  • Define and enforce AI safety standards appropriate for a regulated SIFMU environment, including hallucination detection, output validation, bias assessment, and audit trails that satisfy SEC and CFTC oversight expectations
  • Establish responsible AI practices and safety guardrails for LLM applications operating on sensitive financial data

Qualifications:

  • Bachelor's or Master's in Computer Science or a related technical field
  • 10+ years of software engineering and systems architecture experience, with demonstrated technical leadership
  • 5+ years as a senior individual contributor on complex, high-stakes production systems
  • Expert-level Python; proficient in SQL
  • Deep system design expertise: distributed systems, microservices, event-driven architectures, APIs, and MCP servers
  • Hands-on experience with data engineering: pipelines, transformation, and data modeling
  • AWS experience; comfort with Docker, Kubernetes, and CI/CD pipelines
  • Strong production AI/LLM experience, or demonstrated hands-on passion for the space with the engineering depth to ramp quickly
  • Experience designing and operating agentic AI systems in enterprise environments
  • Experience with context engineering strategies including RAG, prompt architecture, and retrieval pipeline design
  • Familiarity with frontier models including Claude, GPT, and Gemini, and hands-on experimentation with emerging tools
  • Hands-on experience with Anthropic's tooling and APIs, including the Claude API, Claude.ai, or the Anthropic Console
  • Experience connecting AI agents to enterprise systems and workflows
  • Infrastructure as code (Terraform)