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Remote Ai Operator Jobs in Atlanta, GA (NOW HIRING)

FAVARH

AI Principal Engineer

Atlanta, GA · On-site +1

Operating with a high degree of independence, the AI Principal Engineer partners closely with ... This role is fully remote, with no regular in-office requirement. The Contributions You'll Make:

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products. This role involves ...

Ultimate Knowledge

AI Workflow Engineer

Atlanta, GA · Remote

... operating agentic workflows and pipelines including multi-step agent orchestration, tool use ... Must be authorized to work in the United States; role is US-remote. Nice to Have Experience with ...

New

Crowe LLP

Senior AI Solutions Consultant

Atlanta, GA · On-site +1

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Operating as an independent contributor, the Senior AI Consultant is focused on delivery excellence ...

Crowe LLP

AI Solutions Consulting Lead

Atlanta, GA · On-site +1

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Operating on the Lead Track, the AI Consulting Lead serves as the primary client relationship owner ...

Iterable

Senior IT Engineer (AI)

Atlanta, GA · On-site +1

$141K - $221K/yr

... remote employees worldwide-we are committed to building a diverse and inclusive workplace. We ... This role is equal parts builder and operator. You'll lead on AI integration work while growing ...

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All JobsAi Operator JobsRemote Ai Operator JobsRemote Ai Operator Jobs in Atlanta, GA

Remote Ai Operator information

See Atlanta, GA salary details

$10

$22

$35

How much do remote ai operator jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote ai operator in Atlanta, GA is $22.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $21.06 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 Atlanta, GA?

The most popular types of Ai Operator jobs in Atlanta, GA are:

What are popular job titles related to Remote Ai Operator jobs in Atlanta, GA?

For Remote Ai Operator jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Operator jobs in Atlanta, GA look for?

The top searched job categories for Remote Ai Operator jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Ai Operator jobs?

Cities near Atlanta, GA with the most Remote Ai Operator job openings:

Remote Ai Operator jobs near you
Infographic showing various Remote Ai Operator job openings in Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $46,092 per year, or $22.2 per hour.

Lead Agile Coach - AI PDLC Specialist

Purple Hires Inc

Atlanta, GA • Remote

Full-time

Re-posted 22 days ago

Job description

Role: Lead Agile Coach – AI PDLC Specialist

Location: United States or Canada (Remote)
Employment Type: Full-Time
 
Below is the detailed job description for your reference -
 

Job Description: 

About the Role
We are seeking a highly experienced Lead Agile Coach – AI PDLC Specialist to lead enterprise-scale Agile transformations while driving the adoption of AI-enabled Product Development Lifecycle (PDLC) practices.
This is a strategic leadership role requiring deep expertise in Scaled Agile (SAFe), Agile coaching, AI governance, AI operating models, and enterprise AI transformation. The ideal candidate has successfully implemented Agile frameworks across large organizations and has hands-on experience designing AI governance frameworks, AI PDLC playbooks, and AI-powered delivery models.
Candidates must demonstrate practical implementation experience—not just certifications or advisory experience.
Key Responsibilities

  • Lead enterprise Agile transformations across Team, ART, and Portfolio levels.

  • Implement and coach Agile frameworks including:

    • SAFe 5/6

    • Scrum

    • Kanban

    • Lean

    • Nexus

    • Scrum@Scale

    • Spotify Model

  • Design and launch Agile Release Trains (ARTs), conduct Value Stream Mapping, and facilitate PI Planning.

  • Drive Agile maturity through coaching, continuous improvement, Lean Portfolio Management, and delivery metrics.

  • Independently manage complex AI PDLC programs, risks, dependencies, governance, and executive reporting.

  • Develop AI Governance Frameworks, Responsible AI policies, AI Operating Models, and AI Governance Playbooks.

  • Partner with Legal, Risk, Compliance, Security, and Data Governance teams to ensure responsible AI adoption.

  • Design and enable enterprise AI Agents supporting:

    • Product Discovery

    • Backlog Management

    • Story Decomposition

    • Sprint & PI Planning

    • Dependency Management

    • Flow Metrics & OKRs

    • Continuous Improvement

  • Coach Product Managers, Product Owners, Scrum Masters, RTEs, and executive leadership on AI-enabled Agile delivery.

  • Deliver Agile and AI training programs, workshops, Communities of Practice (CoPs), and executive coaching sessions.

  • Act as a trusted advisor to business and technology leadership.

Required Technical Skills
Agile & Scaled Agile

  • 10+ years in Technology

  • 7+ years as a Senior/Lead Agile Coach

  • Strong hands-on SAFe implementation experience

  • SAFe Roadmap implementation

  • Value Stream Mapping

  • ART Design & Launch

  • PI Planning

  • Lean Portfolio Management

  • Business Agility

  • Agile Metrics & Continuous Improvement

AI PDLC & Governance

  • AI Product Development Lifecycle (PDLC)

  • AI Governance Frameworks

  • Responsible AI

  • AI Operating Models

  • AI Governance Playbooks

  • AI Risk Management

  • Human-in-the-Loop (HITL)

  • Model Risk Registers

  • AI Ethics & Compliance

  • Business Agility Dashboards

AI Agent Technologies
Experience working with:

  • LangChain

  • LangGraph

  • CrewAI

  • AutoGen

  • Azure OpenAI

  • AWS Bedrock

  • Google Vertex AI

  • Retrieval-Augmented Generation (RAG)

  • Multi-Agent Architectures

  • Prompt Engineering

  • AI Observability

  • AI Guardrails

Agile Tooling

  • Jira

  • Azure DevOps

  • Big Picture

  • Agile Central

  • Confluence

  • ProductBoard

Preferred Certifications

  • SAFe Program Consultant (SPC 6.0 Preferred)

  • SAFe SPC 5.0

  • PMI-ACP

  • PSM I / PSM II

Certifications are preferred; however, demonstrated hands-on implementation experience is significantly more important.
 
Required Experience

  • 10+ years in software delivery or technology.

  • 7+ years leading Agile transformations.

  • Proven experience implementing SAFe at enterprise scale.

  • Hands-on experience leading AI PDLC initiatives.

  • Experience developing AI Governance Frameworks and AI Operating Models.

  • Experience coaching executive leadership.

  • Strong background managing enterprise AI transformation programs.

  • Demonstrated success leading multiple Agile Release Trains (ARTs).

  • Experience building scalable AI-enabled delivery practices.

Leadership & Soft Skills

  • Executive stakeholder management

  • Servant leadership

  • Strong facilitation and coaching skills

  • Excellent communication and presentation abilities

  • Strategic thinking and decision-making

  • Design Thinking mindset

  • Organizational change management

  • Conflict resolution

  • Self-directed leadership

  • Analytical and problem-solving skills

  • Ability to influence senior leadership and drive enterprise-wide adoption