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Full Time Ai Data Annotator Jobs (NOW HIRING)

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI agents that execute ...

Gamma

AI Data Scientist

San Francisco, CA · On-site

About the role You'll be Gamma's first Data Scientist, turning massive volumes of user data and AI ... The base salary for this full-time position, which spans multiple internal levels depending on ...

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

Bart & Associates

AI Data Scientist

Ashburn, VA · On-site

AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and ... to full time employees, including a Health Savings Account (HSA) option as well as two tiers of ...

Bart and Associates, Inc

AI Data Scientist

Ashburn, VA · On-site

AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and ... to full time employees, including a Health Savings Account (HSA) option as well as two tiers of ...

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

UJET

AI Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

We are hiring an AI Data Engineer to own the seam between "customer says yes" and "data is flowing ... full-time all qualify * Daily fluency with a standard engineering workflow: working in a shared ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn ... this full-time U.S. position. Final compensation will be determined based on role scope, level ...

Capgemini

Snowflake AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ... AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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All JobsAi Data Annotator JobsFull Time Ai Data Annotator Jobs

Full Time Ai Data Annotator information

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$46K

$165K

$243.5K

How much do full time ai data annotator jobs pay per year?

As of Aug 8, 2026, the average yearly pay for full time ai data annotator in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are common challenges faced by AI data annotators, and how can they be managed?

AI Data Annotators often encounter challenges such as maintaining high accuracy while labeling large volumes of data and dealing with ambiguous cases where guidelines may not be clear-cut. To manage these, it's important to stay detail-oriented, regularly reference annotation guidelines, and communicate with team leads or peers when uncertainties arise. Many organizations provide support channels and periodic training to help annotators keep up with evolving project standards. Staying organized and taking regular breaks can also help maintain focus and reduce errors during repetitive tasks.

What is the difference between Full Time Ai Data Annotator vs Part Time Ai Data Annotator?

AspectFull Time Ai Data AnnotatorPart Time Ai Data Annotator
Work HoursTypically 40 hours/weekLess than 30 hours/week
Employment StatusFull-time employeePart-time employee
CredentialsUsually requires basic data annotation skillsSimilar credential requirements
Work EnvironmentRemote or office-basedRemote or flexible
Job ResponsibilitiesConsistent annotation tasks, possibly more complexFewer hours, possibly simpler tasks

Full Time Ai Data Annotators work standard hours, often with more responsibilities and consistent schedules, while Part Time Ai Data Annotators have flexible hours with fewer responsibilities. Both roles require similar skills, but the full-time position offers more stability and benefits.

What skills and qualifications are needed to thrive as a full time AI data annotator?

To thrive as a Full Time AI Data Annotator, you need keen attention to detail, strong analytical abilities, and a high school diploma or equivalent, although some roles may require domain-specific knowledge. Familiarity with annotation platforms, data labeling tools, and basic computer proficiency are typically necessary, and experience with tools like Labelbox or Supervisely is often preferred. Excellent communication, time management, and the ability to follow complex instructions make someone stand out in this position. These skills ensure high-quality, accurate datasets that are critical for training and validating reliable AI models.

What is a full time AI data annotator?

A Full Time AI Data Annotator is a professional responsible for labeling, categorizing, or tagging data such as images, text, or audio for use in training artificial intelligence and machine learning models. Their work helps ensure that algorithms can accurately recognize patterns and make predictions based on real-world data. Annotators may use specialized software tools to complete their tasks and must pay close attention to detail to maintain high data quality. The role is crucial in developing and improving AI systems across industries like healthcare, automotive, and technology.
More about Full Time Ai Data Annotator jobs
What cities are hiring for Full Time Ai Data Annotator jobs? Cities with the most Full Time Ai Data Annotator job openings:
What are the most commonly searched types of Ai Data Annotator jobs? The most popular types of Ai Data Annotator jobs are:
What states have the most Full Time Ai Data Annotator jobs? States with the most job openings for Full Time Ai Data Annotator jobs include:
What job categories do people searching Full Time Ai Data Annotator jobs look for? The top searched job categories for Full Time Ai Data Annotator jobs are:
Full Time Ai Data Annotator jobs near you
Infographic showing various Full Time Ai Data Annotator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI Data Engineer

Atonom

Provo, UT • On-site

$50K - $90K/yr

Full-time

Medical, PTO

Re-posted 13 days ago

Job description

AI Data Engineer
Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years
ABOUT ATONOM
Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.
THE ROLE
As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.
WHAT YOU'LL DO
  • Configure and deploy AI Cloud Employees for customers, with a focus on data integrations, API connections, and workflow logic.
  • Join client calls to understand data environments and help translate business needs into AI workflows, including prompt design, data mappings, and QA checks.
  • Troubleshoot data and integration issues with support from senior team members. Trace problems, find root causes, and work toward solutions.
  • Document data patterns, integration playbooks, and technical reference materials that help the whole team move faster.
  • Share product feedback with Engineering and Product teams, including data handling gaps, integration limitations, and customer pain points.

WHO YOU ARE
  • Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also welcome.
  • Comfortable working with data. Maybe you've written SQL queries, built a small pipeline, worked with APIs, or cleaned up messy datasets in a class or side project.
  • Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how AI models work beyond surface-level usage.
  • A clear communicator who can walk non-technical teammates and clients through technical concepts without jargon.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS
  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)
  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN
  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS
  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.

Apply