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Remote Ai Operator Jobs in Raleigh, NC (NOW HIRING)

Marketing Analytics Manager

Raleigh, NC ยท Remote

$120K - $135K/yr

At the same time, you'll take ownership of an established AI-enabled operating model, improving the ... This position supports remote work, within the Eastern time zone. What You'll Do * Own and evolve ...

What you bring * 7+ years building and operating production software, or equivalent Senior-level ... Fully remote work with flexible hours * Modern, AI-assisted engineering workflows At Urrly ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Business definition standardization for reuse across BI and AI use cases Leadership &Operating Model * Self-directed execution and ownership in a distributed environment, combined with strong cross ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Business definition standardization for reuse across BI and AI use cases Leadership &Operating Model * Self-directed execution and ownership in a distributed environment, combined with strong cross ...

Sr. Product Manager

Raleigh, NC ยท On-site +1

$123K - $162K/yr

In a cross-timezone operating model, AI tools are particularly valuable for accelerating async work ... New York, NY and East Coast remote candidates are also considered. This role works with India-based ...

Enterprise Account Exec (Armis/Veza)

Raleigh, NC ยท On-site +1

$114K - $165K/yr

Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform ... Develop relationships with multiple C-suite personas (e.g., CFO, CIO, COO, CDO) across all product ...

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Showing results 21-40

Remote Ai Operator information

See Raleigh, NC salary details

$10

$22

$35

How much do remote ai operator jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote ai operator in Raleigh, NC is $22.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $21.25 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 popular job titles related to Remote Ai Operator jobs in Raleigh, NC?

For Remote Ai Operator jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Ai Operator jobs in Raleigh, NC look for?

The top searched job categories for Remote Ai Operator jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Ai Operator jobs?

Cities near Raleigh, NC with the most Remote Ai Operator job openings:

Infographic showing various Remote Ai Operator job openings in Raleigh, NC as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,592 per year, or $22.4 per hour.

Service Delivery Manager - Remote - USA

FullStack Labs

Raleigh, NC โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We are looking for a hands-on, service-minded Delivery Manager to own the enterprise application support and BAU (business-as-usual) enhancement engagement for a global agricultural science client's R&D IT organization. This is not a build-from-zero software program. It is a live operations engagement spanning three connected workstreams: a consolidated Level 1 service desk that acts as the single point of contact for triage, basic troubleshooting, and service requests; domain-aligned Level 2 specialists across six application portfolios who take L1 escalations and drive complex resolution; and a stream of low-risk minor enhancements delivered by that same L2 team alongside the ticket queue. Our teams are folded into the client's existing support model and interface directly with their internal Level 3 engineering, product, and platform teams.
You are the escalation path above the Project Manager and the person accountable when a priority-one incident lands, when an SLA is at risk, when a staffing or billing issue arises, or when the client identifies a gap in our delivery. You own the client relationship from executive sponsor and procurement through to tactical application and business unit managers, you own engagement financials and SOW compliance, and you own the people: staffing decisions, coverage, performance, and retention across a team distributed between the United States and Colombia working US Eastern hours.
What We Are Looking For
  • 8+ Years in Delivery Leadership, Including Managed Services: Track record as a Delivery Manager, Engagement Manager, or Service Delivery Manager owning an application support, service desk, or managed services engagement, not solely project or product delivery.
  • Contractual SLA Ownership: Direct experience owning SLAs written into a client contract: negotiating targets, defending measurement definitions, reporting attainment, and handling the commercial consequences of a miss.
  • ITSM Operating Fluency: Working command of incident, problem, request, and change management in ServiceNow, Jira Service Management, or equivalent, including P1 through P4 triage, queue and backlog management, major incident process, RCA (root-cause-analysis) discipline, and knowledge management.
  • Dual-Mode Delivery Cadence: Comfortable running a ticket-driven operations queue and a sprint-based enhancement backlog at the same time, with the Agile and Jira fluency to keep both measurable and visible.
  • Distributed and Nearshore Team Leadership: Experience leading teams split across the United States and LATAM, or comparable distributed models, aligned to a client time zone, including shift coverage and cross-cultural people management.
  • Commercial and Financial Ownership: Comfortable owning engagement financials under a fixed-fee structure: capacity and utilization planning, forecast against actual, margin protection, and scope change discipline.
  • Transition and Takeover Experience: Has taken over support scope from an outgoing vendor or an internal team, ideally under a compressed knowledge transfer window with a hard cutover date.
  • Multi-Level Communication: Able to run a budget and progress review with a client sponsor and de-escalate a difficult conversation with a frustrated application owner on the same day, in fluent professional English. Spanish is an advantage for leading Colombia-based team members.
  • Scientific or R&D Application Exposure (Preferred): Familiarity supporting laboratory, genomics, data platform, or other scientific and regulated enterprise applications. Not required, but it shortens ramp time considerably.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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