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Remote Ai Operator Jobs (NOW HIRING)

Clera

Talent AI Operator

San Francisco, CA · Remote

$19.25 - $23.25/hr

... AI Operator to join their San Francisco team. This company has built autonomous AI agents that ... Remote flexibility available for the right candidate.

Harris

... This remote role welcomes candidates anywhere in Canada and the US. Salary: 79K - 90K AI ... Comfort operating independently with minimal oversight * Experience in the software or utility ...

Harris

... This remote role welcomes candidates anywhere in Canada and the US. Salary: 79K - 90K AI ... Comfort operating independently with minimal oversight * Experience in the software or utility ...

Harris

... This remote role welcomes candidates anywhere in Canada and the US. Salary: 79K - 90K AI ... Comfort operating independently with minimal oversight * Experience in the software or utility ...

Harris

... This remote role welcomes candidates anywhere in Canada and the US. Salary: 79K - 90K AI ... Comfort operating independently with minimal oversight * Experience in the software or utility ...

Harris

(Remote) AI Enablement Lead

Virginia, IL · Remote

... This remote role welcomes candidates anywhere in Canada and the US. Salary: 79K - 90K AI ... Comfort operating independently with minimal oversight * Experience in the software or utility ...

Harris

... This remote role welcomes candidates anywhere in Canada and the US. Salary: 79K - 90K AI ... Comfort operating independently with minimal oversight * Experience in the software or utility ...

Harris

... This remote role welcomes candidates anywhere in Canada and the US. Salary: 79K - 90K AI ... Comfort operating independently with minimal oversight * Experience in the software or utility ...

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Remote Ai Operator information

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$10

$23

$37

How much do remote ai operator jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for remote 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 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.

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 are the key skills and qualifications needed to thrive as a Remote AI Operator, and why are they important?

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.

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.
More about Remote Ai Operator jobs
What cities are hiring for Remote Ai Operator jobs? Cities with the most Remote Ai Operator job openings:
What are the most commonly searched types of Ai Operator jobs? The most popular types of Ai Operator jobs are:
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What job categories do people searching Remote Ai Operator jobs look for? The top searched job categories for Remote Ai Operator jobs are:
Remote Ai Operator jobs near you
Infographic showing various Remote Ai Operator job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $47,930 per year, or $23 per hour.

Talent AI Operator

Clera

San Francisco, CA • Remote

$19.25 - $23.25/hr

Other

Medical

Re-posted yesterday

Job description

About the Role

A fast-growing, pre-seed AI-powered recruiting platform is looking for a Talent AI Operator to join their San Francisco team. This company has built autonomous AI agents that handle end-to-end recruiting — sourcing, outreach, candidate qualification, and interview scheduling — at marketplace scale. They're now looking for a sharp operator to supervise those agents, handle high-judgment moments, and help define what AI-native recruiting operations looks like as they scale.

This is a genuinely new kind of role. You're not a recruiter in the traditional sense — think air traffic controller, not pilot. The AI handles volume; you handle edge cases, senior candidates, tricky negotiations, and the feedback loop that makes the system smarter.

What You'll Do
  • Supervise AI agent pipelines: Monitor live candidate conversations, flag errors, and step in when human judgment is needed
  • Handle high-stakes moments: Senior candidates, complex objections, compensation negotiations — conversations where humans still win
  • Train the agents: Review agent outputs, label good/bad responses, and write examples that improve AI performance
  • Quality control at scale: Audit candidate matches, outreach quality, and conversion rates across thousands of weekly touchpoints
  • Close placements: Guide candidates through final stages, manage offers, and ensure successful hires
  • Build the playbook: Document what works, create SOPs, and help define how humans and AI agents collaborate effectively
What We're Looking For

Required:

  • 2+ years of talent operations or recruitment experience at early-stage tech startups (pre-seed/seed)
  • Strong communication and collaboration skills; comfortable working cross-functionally with product, engineering, design, and leadership
  • Experience using data to inform recruitment decisions — KPIs, dashboards, A/B tests, experiments
  • Proven ability to design and optimize end-to-end recruitment processes: sourcing, screening, interview coordination, offer management, and candidate experience
  • Ability to work on-site in San Francisco as needed

Nice to Have:

  • Experience with AI/ML-oriented startups and understanding of AI-focused hiring needs
  • Familiarity with modern tech stacks (TypeScript/JavaScript, Python, React, Node.js, PostgreSQL) to communicate effectively with engineers
Growth Path

This role is a proving ground. Strong performers can grow into:

  • Account Lead: Own client relationships and agent performance for key accounts
  • Agent Training Lead: Own the feedback loop that makes the AI better
  • Operations Lead: Build and manage the broader ops function
Compensation & Benefits
  • Competitive base salary
  • Uncapped performance-based compensation tied to placements — top performers earn significantly more
  • Performance-based equity grants available after a successful 90-day window, with potential for meaningful ownership as scope expands
  • Health insurance
  • Visa sponsorship available
  • Optional: live/work at a San Francisco hacker house
Location

Based in San Francisco, CA. On-site presence required as needed. Remote flexibility available for the right candidate.