ZipRecruiter

Log In

1

Data Labeling Operations Jobs (NOW HIRING)

Bobyard

Data Labeling Operations Manager

San Francisco, CA · On-site

$90K - $125K/yr

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 ...

Bobyard, Inc.

$90K - $125K/yr

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 ...

Tesla

Data Labeler Manager

Dallas, TX · On-site

The role involves managing performance, ensuring data integrity, and collaborating with engineering teams to enhance the efficiency of data labeling operations. Responsibilities : • Conduct ongoing ...

Meta

Product Data Operations Program Manager

Menlo Park, CA · On-site

$103K - $155K/yr

... labeling, annotation, and curation workflows to ensure timely delivery of high-quality training datasets • Analyze complex data operations challenges and propose scalable solutions that align with ...

Scale AI

Strategic Product Manager

Manhattan, NY · On-site

... data labeling operations for strategic projects • Work on some of the most impactful problems at the company Qualifications : Required : • 3+ years of experience • Strong entrepreneurial ...

Scale AI

Strategic Product Manager

San Francisco, CA · On-site

... data labeling operations for strategic projects • Work on some of the most impactful problems at the company Qualifications : Required : • 3+ years of experience • Strong entrepreneurial ...

HappyRobot Inc

Data Operations Engineer

San Francisco, CA · On-site

$150K - $180K/yr

Data Labeling Operations: Manage the human element of our agentic stack across voice, reasoning and coding agents. You will own the coordination of in-house labelers and external agencies to ensure ...

next page

Showing results 1-20

All JobsManufacturing JobsProduct Manufacturing JobsProduction Line Worker JobsData Labeling Operations Jobs

Data Labeling Operations information

See salary details

$52K

$128.5K

$200K

How much do data labeling operations jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data labeling operations in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

Is a degree needed for data labeling operations jobs?

Data labeling operations jobs typically do not require a degree, focusing instead on attention to detail, accuracy, and familiarity with labeling tools or software. Many employers prioritize relevant skills and experience over formal education for these roles.

Is data labeling a good career?

Data labeling is a foundational role in machine learning and AI development, involving annotating data such as images, text, or audio to train algorithms. It often requires attention to detail, basic technical skills, and can offer flexible schedules or remote work options. While it can be a stepping stone to more advanced roles in data science or AI, it may have limited career advancement without additional skills or experience.

What are popular job titles related to Data Labeling Operations jobs?

For Data Labeling Operations jobs, the most frequently searched job titles are:

Infographic showing various Data Labeling Operations job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Data Labeling Operations Manager

San Francisco, CA • On-site

Bobyard, Inc
See more jobs at Bobyard, Incexternal

$90K - $125K/yr

Full-time

Posted 26 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.

Apply