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Full Time Annotator Jobs (NOW HIRING)

Obvio Inc

Video Data Annotator

Salt Lake City, UT · On-site

$22 - $24/hr

Employment Type: Full-time, hourly, benefits eligible * Compensation: $22-$24 per hour * Expected Hours: 40 + overtime as needed * Location: On-site in Salt Lake City, UT Why Obvio * Your work will ...

Figure

Lead, Data Quality - Partnerships

San Jose, CA · On-site

$120K - $180K/yr

Build and run the vendor scorecard: throughput, quality, inter-annotator agreement, and SLA ... The US base salary range for this full-time position is between $120,000 - $180,000 annually. The ...

Figure

Lead, Data Quality - Partnerships

San Jose, CA · On-site

$120K - $180K/yr

Build and run the vendor scorecard: throughput, quality, inter-annotator agreement, and SLA ... The US base salary range for this full-time position is between $120,000 - $180,000 annually. The ...

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How much do full time annotator jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for full time annotator in the United States is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.00 per hour, depending on experience, location, and employer.

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

AspectFull Time AnnotatorPart Time Annotator
Work HoursTypically 40 hours/weekFewer hours, flexible schedule
CredentialsOften requires similar qualificationsSame as full-time, but may vary
Work EnvironmentOffice or remote, consistent scheduleRemote or flexible locations
Employer UsageFull-time employment with benefitsPart-time contracts or freelance

Full Time Annotators usually work a standard 40-hour week with benefits, while Part Time Annotators have flexible hours and may work fewer hours. Both roles often require similar skills and credentials, but differ mainly in hours and employment structure.

What cities are hiring for Full Time Annotator jobs?

Cities with the most Full Time Annotator job openings:

What are the most commonly searched types of Annotator jobs?

The most popular types of Annotator jobs are:

Full Time Annotator jobs near you
Infographic showing various Full Time Annotator job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 56% Full Time, 16% Part Time, and 26% Contract. Highlights an 51% Physical, 1% Hybrid, and 48% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

Data Labeling Operations Manager

Bobyard, Inc

San Francisco, CA • On-site

$90K - $125K/yr

Full-time

Posted 20 days ago

Key responsibilities

  • Build and manage the annotator team, including recruiting, onboarding, training, and maintaining quality and throughput standards

  • Review annotations, identify systematic errors, and improve guidelines to ensure high labeling quality

  • Work with ML engineers to understand model failures and create datasets that address these issues

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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