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Remote Ai Operator Salary Jobs (NOW HIRING)

Arize AI

Forward Deployed AI Engineer, East

New York, NY · On-site +1

$155K - $190K/yr

While we are a remote-first company, the nature of this role requires candidates to be based in the ... Comfortable operating in fast-paced startup or consulting environments, with the ability to ...

Centerfield

Sales Manager

$65K - $75K/yr

Comfort operating within an independent contractor (1099) sales model * Commitment to compliance ... Career growth - we enjoy promoting from within! #LI-CC1 #LI-Remote AI & Interview Policy At ...

Danaher

AI & Innovation Manager - USA Remote

At Integrated DNA Technologies (IDT), one of Danaher's 15+ operating companies, our work saves ... The annual salary range for this role is $140K-$170K. This is the range that we in good faith ...

Retensa

AI Product Manager (Remote)

New York, NY · On-site +1

$90K - $120K/yr

AI Product Manager (Remote) Company : Retensa Industry : SaaS Software Technology Department ... Competitive salary commensurate with experience & qualifications * Flexible paid time off (PTO) and ...

New

Spear AI

... operators to translate operational needs into technical capabilities. Opportunity to work on real ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Sekai

AI Product Manager (Remote)

Top tier salary in the market + competitive equity * Full Health insurance * Remote first team If you are excited about building at the frontier of AI, consumer social, and interactive entertainment ...

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Remote Ai Operator Salary information

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$10

$23

$37

How much do remote ai operator salary jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote ai operator salary 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 the difference between Remote Ai Operator Salary vs Data Annotator Salary?

AspectRemote Ai Operator SalaryData Annotator Salary
Required CredentialsBasic technical skills, training in AI toolsMinimal qualifications, often high school diploma
Work EnvironmentRemote, tech-focusedRemote or on-site, data labeling tasks
Industry UsageAI development, machine learningData preparation, machine learning datasets
Salary Range$30,000 - $70,000 annually$25,000 - $50,000 annually

Remote Ai Operators typically earn higher salaries than Data Annotators due to specialized training and involvement in AI development projects. While both roles are remote and industry-related, Ai Operators require more technical skills, leading to increased earning potential.

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 AI concepts, data management, and troubleshooting, often supported by a degree in computer science or related fields. Familiarity with AI platforms, cloud-based tools, and data annotation systems is typically required, along with certifications in relevant software or platforms. Excellent attention to detail, problem-solving abilities, and strong remote communication skills set top candidates apart. These abilities ensure the effective monitoring, maintenance, and optimization of AI systems from a distance, directly impacting system reliability and performance.

What is a remote AI operator?

A remote AI operator is a professional who manages, monitors, or interacts with artificial intelligence systems from a remote location. Their responsibilities often include overseeing AI performance, flagging errors, and sometimes providing human-in-the-loop input for machine learning models. Salaries for remote AI operators can vary depending on experience, location, and employer, but typically range from $40,000 to $80,000 annually in the United States. Entry-level positions may start lower, while those with specialized skills or working for major tech companies may earn more. Compensation may also include benefits and opportunities for advancement as AI technology evolves.

What are the typical daily tasks and collaboration methods for remote AI operators?

Remote AI operators typically monitor and manage AI systems, ensuring data accuracy, addressing errors, and escalating complex issues to technical teams. They often collaborate with data scientists, engineers, and other stakeholders via digital communication tools such as Slack, Zoom, or project management platforms. This remote setup requires proactive communication and strong organizational skills to coordinate tasks, report findings, and maintain workflow efficiency across different time zones.
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Remote Ai Operator Salary jobs near you
Infographic showing various Remote Ai Operator Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.

Senior Cyber AI Operations Engineer

System One

Washington, DC • Remote

Contractor

Re-posted 15 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