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Ai Operator Jobs in Virginia (NOW HIRING)

Vantor

AI/ML Engineer (Senior)

Reston, VA · On-site

$108K - $149K/yr

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. The Senior AI/ML Engineer role involves ...

REDLattice

AI/CNO Engineer

Chantilly, VA · On-site

$130K - $178K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

Blue Origin

AI Engineer III - Blue Ring

Reston, VA · On-site

$59.75 - $80.25/hr

We are seeking an AI Engineer III to join the Blue Ring software team. You will help develop and ... Experience designing and operating RAG pipelines, including vector databases, embedding models, and ...

REDLattice

AI/CNO Engineer

Chantilly, VA · On-site

$123K - $169K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

REDLattice, Inc.

AI/CNO Engineer

Chantilly, VA · On-site

$130K - $178K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

REDLattice

AI/CNO Engineer

Dulles, VA · On-site

$124K - $171K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

REDLattice

AI/CNO Engineer

Chantilly, VA · On-site

$129K - $177K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

REDLattice

AI/CNO Engineer

Dulles, VA · On-site

$127K - $175K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

REDLattice

AI/CNO Engineer

Dulles, VA · On-site

$124K - $171K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

REDLattice

AI/CNO Engineer

Dulles, VA · On-site

$127K - $175K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

REDLattice

AI/CNO Engineer

Dulles, VA · On-site

$126K - $173K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

Surescripts

Principal AI Engineer

Arlington, VA · On-site

The Principal AI Engineer is the most senior individual contributor and technical lead for ... operating model Surescripts embraces flexibility through its Flexible Hybrid Work model for most ...

REDLattice

AI/CNO Engineer

Dulles, VA · On-site

$127K - $174K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

Venturegloballng

Senior AI Platform Engineer

Arlington, VA · On-site

$120K - $165K/yr

Arlington Summary The Senior AI Platform Engineer is responsible for building and operating the infrastructure that powers Venture Global's AI Engineering function. This role designs, stands up, and ...

REDLattice

AI/CNO Engineer

Dulles, VA · On-site

$124K - $171K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

REDLattice

AI/CNO Engineer

Dulles, VA · On-site

$128K - $175K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

VAST Data offers an AI Operating System that integrates storage, database, and compute engine capabilities into a single software platform. Founded in 2016, the company is headquartered in New York ...

REDLattice

AI/CNO Engineer

Chantilly, VA · On-site

$129K - $177K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

REDLattice

AI/CNO Engineer

Chantilly, VA · On-site

$129K - $177K/yr

Collaborate with software developers, vulnerability researchers, reverse engineers, and cyber operators to identify opportunities for AI integration. * Stay current with advances in foundation models ...

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Ai Operator information

See Virginia salary details

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How much do ai operator jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai operator in Virginia is $22.85, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $21.68 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.

What are the most commonly searched types of Ai Operator jobs in Virginia?

The most popular types of Ai Operator jobs in Virginia are:

What are popular job titles related to Ai Operator jobs in Virginia?

For Ai Operator jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Operator jobs in Virginia look for?

The top searched job categories for Ai Operator jobs in Virginia are:

Ai Operator jobs near you
Infographic showing various Ai Operator job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $47,519 per year, or $22.8 per hour.

AI/ML Engineer (Senior)

Vantor

Reston, VA • On-site

$108K - $149K/yr

Full-time

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

Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The Senior AI/ML Engineer role involves designing, building, integrating, and sustaining secure technical capabilities that support high-volume analysis and mission operations, contributing to AI-enabled, data-driven solutions.
Responsibilities:
• Defines, develops, and delivers machine learning models and AI solutions
• Tests, deploys, and maintains AI systems
• Optimizes Al models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks
• Manages the data flow and infrastructure for effective AI deployment, including the preprocessing of data
• Ensures the quality and accuracy of data fed into models and deploys these models into production
• Conducts data analysis, preprocessing, and feature engineering to extract valuable insights from large datasets, improving model performance
• Applies machine learning algorithms to large sets of structured and unstructured data to solve a broad range of problems that include applications in pattern recognition, target detection and tracking, machine learning and decision systems
• May use system-of-systems and multi-agent approaches to architect and design AI software systems
Qualifications:
Required:
• Must be a U.S. Citizen.
• Requires an active U.S. Government security clearance at the TS/SCI level with CI polygraph.
• Education/experience: e.g., BS in CS or equivalent practical experience.
• Core skills: e.g., proficiency in [Python, Java, SQL], data structures/algorithms.
• Tools/tech: e.g., [AWS/GCP/Azure], [Spark/Kafka], containers/CI/CD.
• Ability to work onsite X days/week, travel up to Y%.
Preferred:
• Experience with [domain/industry: geospatial, defense, fintech, etc.].
• Built/operated systems at [scale/latency].
• Familiarity with [governance/compliance frameworks relevant to you].
• Contributions to [open source/community] or published work.
• Prior work in cross-functional teams (PM, Design, DS).
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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