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Entrylevel Ai Data Labeling Jobs (NOW HIRING)

RELX Group plc

AI Data Analyst

Alpharetta, GA · On-site

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

RELX

AI Data Analyst

Minneapolis, MN

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

RELX

AI Data Analyst

Boca Raton, FL · On-site

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

RELX

AI Data Analyst

Dayton, OH · On-site

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

RELX

AI Data Analyst

Alpharetta, GA · On-site

Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning ... Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.

Pareto AI

AI Engagement Manager

$150K - $180K/yr

About This Role AI Engagement Managers own the relationships with Pareto's most important accounts ... Partner with Product, Delivery, and Engineering to design solutions covering data labeling, evals ...

Mercor

Video Data Reviewer - Egocentric

New York, NY · Remote

$20 - $25/hr

... annotation, data labeling, computer vision datasets, or egocentric video. Start Date * Monday morning 17th August (PST) Application Process (Takes 20-30 mins to complete) * Upload resume * AI ...

TSMG Holding

AI/ML Data Contributor

Indianapolis, IN · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML ...

SynergisticIT

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

But entry-level AI candidates need practical skills, not just curiosity. Employers value candidates who can program, work with data, build models, use APIs, and explain how AI output supports a real ...

TSMG Holding

AI/ML Data Contributor

Wichita, KS · On-site

In this role, you will assist in improving machine learning models through tasks such as data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML-related tasks ...

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Miami, FL · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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Entrylevel Ai Data Labeling information

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$10

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$17

How much do entrylevel ai data labeling jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entrylevel ai data labeling in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What is the difference between Entrylevel Ai Data Labeling vs Data Annotation Specialist?

AspectEntrylevel Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; basic skills, sometimes certifications in data management
Work EnvironmentRemote or on-site, repetitive tasksRemote or on-site, similar repetitive tasks
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries

Both roles involve labeling data for AI training, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' may imply a broader scope or more specialized tasks, but both are entry-level roles focused on preparing data for machine learning models.

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Entrylevel Ai Data Labeling jobs near you
Infographic showing various Entrylevel Ai Data Labeling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.

Data Labeling Operations Manager

Bobyard, Inc

San Francisco, CA • On-site

$90K - $125K/yr

Full-time

Posted 6 days ago

Job description

About Bobyard
Bobyard is building the AI that brings visual intelligence to construction. We're a Series A startup backed by 8VC, Primary, and Pear, and our models are trained on millions of construction drawings to help contractors estimate and bid faster. We're small, moving fast, and the work we ship directly changes whether a contractor wins or loses a bid.
About the role
Our models are only as good as the data behind them. You'll own the labeling operation end to end - the annotator team, the quality bar, the datasets themselves. This is a first-in-function hire: there's no playbook waiting for you, you'll build it. Success looks like a labeling operation that's fast, accurate, and trusted enough that ML engineers stop double-checking your team's work.
What you'll do
  • Build and run the annotator team - recruit, onboard, train, and hold the bar on quality and throughput
  • Own labeling quality - review annotations, catch systematic errors before they hit a model, and turn what you find into sharper guidelines
  • Clean up the datasets we already have - fix inconsistent labels, missing metadata, duplicates, and other issues quietly hurting model performance
  • Source new data - find and organize construction drawings that expand our coverage of formats, classes, and edge cases we're currently missing
  • Turn ML requests into shipped datasets - scope the ask, run the project, deliver clean data on time
  • Work directly with ML engineers to understand where models are failing and build the data that fixes it
  • Build the tooling and workflows that make labeling faster and more reliable - this isn't just people management, it's systems work

What we're looking for
  • Direct experience managing a labeling, annotation, or data-quality team
  • Extremely detail-oriented - you notice when data is wrong, inconsistent, or incomplete before anyone points it out
  • Strong operational instincts - you can run many datasets, annotators, and priorities at once without dropping the details
  • Technical enough to work with ML engineers - you understand false positives, false negatives, class imbalance, and train/test splits, and you can set up your own tools to speed up labeling
  • Resourceful - when we need a new kind of data, you figure out how to find it
  • High ownership - you don't just coordinate the work, you make sure the dataset is actually good

Nice to have
  • Familiarity with labeling platforms like Labelbox, CVAT, or Supervisely
  • Basic SQL or Python for querying and cleaning data
  • Background in construction, CAD, or other visually complex technical domains

What we offer
$90,000-$125,000 base salary, plus equity. Full-time, in-person in our San Francisco Bay Area office. Standard 4-year vesting with a 1-year cliff.
Comp Philosophy
We are proud to offer competitive, top-of-market compensation because we want to celebrate the dedicated people who ship amazing work and drive our success. Our individual compensation is thoughtfully tailored based on your role, experience, and contributions, alongside performance-based rewards.

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