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Remote Ai Operator Jobs in Washington, DC (NOW HIRING)

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The safety of our passengers, our employees, the public and our operating environment is our ... Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The safety of our passengers, our employees, the public and our operating environment is our ... Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The safety of our passengers, our employees, the public and our operating environment is our ... Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ...

Amtrak

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The safety of our passengers, our employees, the public and our operating environment is our ... Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data ...

Amtrak

Data & AI Senior Engineer - 90405345 - Remote

Washington, DC · On-site +1

$138K - $182K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The safety of our passengers, our employees, the public and our operating environment is our ... Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ...

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Showing results 1-20

All JobsAi Operator JobsRemote Ai Operator JobsRemote Ai Operator Jobs in Washington, DC

Remote Ai Operator information

See Washington, DC salary details

$11

$26

$41

How much do remote ai operator jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote ai operator in Washington, DC is $26.10, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $24.76 per hour, depending on experience, location, and employer.

What is a Remote AI Operator?

A Remote AI Operator is a professional who oversees, manages, and sometimes directly interacts with artificial intelligence (AI) systems from a remote location. Their role often includes monitoring AI performance, troubleshooting issues, ensuring data integrity, and making adjustments to improve outcomes. Remote AI Operators may work in industries like customer service, manufacturing, healthcare, or autonomous vehicles. They typically use specialized software tools to interface with AI applications, ensuring the technology is operating as intended. This position often requires strong analytical skills and familiarity with AI platforms or machine learning concepts.

What are the key skills and qualifications needed to thrive as a Remote AI Operator?

To thrive as a Remote AI Operator, you need a solid understanding of artificial intelligence concepts, data processing, and typically a background in computer science or a related field. Experience with AI platforms (such as TensorFlow or PyTorch), cloud computing tools, and sometimes certifications in machine learning or data analysis are commonly required. Strong problem-solving abilities, attention to detail, and effective remote communication skills set top performers apart. These skills ensure accurate AI system management, timely troubleshooting, and seamless collaboration with distributed teams.

How does a Remote AI Operator typically collaborate with cross-functional teams in a distributed work environment?

As a Remote AI Operator, collaboration with data scientists, engineers, and product managers is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and asynchronous updates are common, ensuring alignment on project goals and rapid issue resolution. Operators are expected to provide feedback on AI model performance, flag anomalies, and contribute to workflow improvements, all while adapting to different time zones and communication styles. This collaborative approach helps maintain high-quality AI system outputs and supports continuous improvement.

What is the difference between Remote Ai Operator vs Data Labeler?

AspectRemote Ai OperatorData Labeler
Required CredentialsBasic technical skills, sometimes certifications in AI toolsMinimal; often no formal credentials needed
Work EnvironmentRemote, tech-focusedRemote or on-site, often repetitive tasks
Industry UsageAI development, machine learning projectsData preparation for AI models
Common Search/ComparisonYesNo

Remote Ai Operators typically work on managing AI systems and require some technical knowledge, whereas Data Labelers focus on annotating data with minimal credentials. Both roles are remote and essential in AI development, but they differ in complexity and responsibilities.

What are the most commonly searched types of Ai Operator jobs in Washington, DC?

The most popular types of Ai Operator jobs in Washington, DC are:

What are popular job titles related to Remote Ai Operator jobs in Washington, DC?

For Remote Ai Operator jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Ai Operator jobs in Washington, DC look for?

The top searched job categories for Remote Ai Operator jobs in Washington, DC are:

Remote Ai Operator jobs near you

Senior Cyber AI Operations Engineer

System One

Washington, DC • Remote

Contractor

Re-posted 19 days ago

Job description

Cyber Artificial Intelligence Operations Engineer 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship is required Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance Long Term Multi-Year Contract W-2 or C2C Application deadline: 7/10/2026 We are seeking a Cyber Artificial Intelligence Operations Engineer with experience implementing artificial intelligence (AI) solutions for cybersecurity purposes. The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). This position will require the successful candidate to work as part of a fusion team that includes cybersecurity practitioners to develop and deliver AI-enabled cybersecurity tools and capabilities. Key Responsibilities: • Participate in the delivery of cyber-AI solutions as part of an integrated team that includes traditional AI engineers, AI operators, and cybersecurity subject matter experts all working together to deliver AI-enhanced cybersecurity capabilities. • Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities. • Instrument AI systems for cybersecurity activities with observability and controllability. • Monitor the performance of AI systems designed for cybersecurity purposes and ensure effectiveness. • Analyze, fine-tune and optimize the performance of the AI systems that are designed to support cybersecurity purposes and mission needs • Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity capabilities to include metrics and technical reports. Required Qualifications: • 5+ years of experience in AI, data science, software engineering, with knowledge of data structures that support AI and cybersecurity practices • 2+ years of experience in a security, information security, or cybersecurity field that involves the defense of technical systems • Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash • Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker, Transformer, TensorFlow, PyTorch, and Langchain/Llamaindex • Familiarity with open source LLM models, such Llama, Mistral • Experience in fine-tuning LLM models • Knowledge of AI design patterns • Bachelor’s degree in Computer Science, Information Systems, or other related field is required or related work experience Preferred Qualifications: • Hands-on experience with DevSecOps and CI/CD practices • Experience in AWS cloud architecture design and operation • Experience in Terraform, Dockers Kubernetes, and/or Gitlab • Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex, critical strategic IT initiatives • Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance. • Strong problem-solving and analytical skills • Excellent communication and documentation skills #M1 #LI-VH1 Ref: #851-Rockville-S1