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Contract Data Labeler Jobs (NOW HIRING)

The Opportunity As Data Labeling Lead , you'll play a key role in leading and managing our in-house ... This is a contract role based anywhere in North America. We're an early-stage company, we move fast ...

🚀 Data Labeling Specialist - AI & Robotics 💡 No prior experience required -- All training ... Job Type & Location This is a Contract to Hire position based out of San Jose, CA. Pay and Benefits ...

🚀 Data Labeling Specialist - AI & Robotics 💡 No prior experience required -- All training ... Job Type & Location This is a Contract to Hire position based out of San Jose, CA. Pay and Benefits ...

The Labeling team delivers algorithms, tools and infrastructure to provide data labels that can be used by Perception, Motion Planning, and other ML teams for training and evaluation. They work ...

🚀 Data Labeling Specialist - AI & Robotics 💡 No prior experience required -- All training ... Job Type & Location This is a Contract to Hire position based out of San Jose, CA. Pay and Benefits ...

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Contract Data Labeler information

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$10

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How much do contract data labeler jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for contract data labeler 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 are the key skills and qualifications needed to thrive as a Contract Data Labeler, and why are they important?

To thrive as a Contract Data Labeler, you need strong attention to detail, accuracy, and basic data management skills, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, spreadsheet software, and sometimes project management platforms is typically required. Excellent focus, time management, and the ability to follow detailed instructions are crucial soft skills in this role. These skills ensure labeled data is reliable and consistent, which is vital for training high-quality AI and machine learning models.

What are some common challenges faced by Contract Data Labelers, and how can they be addressed?

Contract Data Labelers often work with large volumes of diverse data, which can lead to repetitive tasks and fatigue. Ensuring accuracy and consistency in labeling is crucial, as errors can significantly impact machine learning outcomes. To address these challenges, it's important to take regular breaks, follow detailed guidelines, and communicate with team members or project leads when ambiguities arise. Many teams use quality assurance checks and feedback sessions to help labelers maintain high standards and continuously improve their work.

What are contract data labelers?

Contract data labelers are professionals hired on a temporary or project basis to annotate and categorize data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Their main responsibility is to accurately tag or label data according to specific guidelines so that algorithms can learn to recognize patterns. As contractors, they typically work remotely and are paid per task, hour, or project. This role is essential for companies developing AI models that require large sets of accurately labeled data.

What is the difference between Contract Data Labeler vs Data Annotator?

AspectContract Data LabelerData Annotator
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote or on-site; tech companies, AI firmsRemote or on-site; AI and machine learning projects
Industry UsageUsed in AI training, machine learning datasetsUsed in AI, computer vision, NLP projects
Job FocusLabeling data for machine learning modelsAnnotating data to improve AI algorithms

The Contract Data Labeler and Data Annotator roles are similar, both involve labeling data for AI training. The main difference lies in terminology and specific project focus, but they often share similar credentials, work environments, and industry applications.

More about Contract Data Labeler jobs
What cities are hiring for Contract Data Labeler jobs? Cities with the most Contract Data Labeler job openings:
What are the most commonly searched types of Data Labeler jobs? The most popular types of Data Labeler jobs are:
What states have the most Contract Data Labeler jobs? States with the most job openings for Contract Data Labeler jobs include:
Infographic showing various Contract Data Labeler job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.

Data Labeling Lead (Contract)

Reducto

Remote

Contractor

Posted 6 days ago


Job description

Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a complete toolkit for handling any workflow by understanding documents the way a human would. Using an agentic architecture to orchestrate dozens of vision and frontier models behind the scenes, Reducto delivers high accuracy on complex, real-world documents where other tools fall short.
We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.
Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.
The Opportunity
As Data Labeling Lead, you'll play a key role in leading and managing our in-house data labeling team to ensure the highest quality of training data for our models. You'll collaborate closely with the ML and engineering teams to refine labeling guidelines and maintain rigorous accuracy standards. This is a high-impact role where you'll help shape the foundation of our AI capabilities from the ground up.
What You'll Do:
  • Lead, train, and manage our in-house data labeling team.
  • Define, execute, and continuously improve data annotation processes with a very high attention to detail.
  • Ensure high-quality data outputs and meet rigorous accuracy and consistency standards.
  • Work closely with ML engineers to understand data requirements and edge cases.
  • Manage team schedules, specifically coordinating and working nighttime hours Pacific Time (PT).
You'll Thrive Here If You:
  • Possess a very high attention to detail.
  • Have 3+ years of experience working in Python and are comfortable managing basic data labeling apps.
  • Have the ability to work nighttime hours PT.
  • Hold yourself to a high bar for quality and precision.
  • Enjoy solving complex problems and building from first principles.
  • Have 3+ years of experience in data labeling, operations, or team management.
  • Operate well in fast-changing, high-growth environments.
  • Collaborate effectively across technical and non-technical teams.
  • Take full ownership from strategy through execution.
Bonus points if you:
  • Have experience at an early-stage or high-growth startup.
  • Are familiar with AI/ML data pipelines and labeling tools.
  • Care deeply about combining operational excellence with business impact.
Why Reducto
  • Impact: Your work directly shapes how the world's best AI companies access and use enterprise data.
  • Speed: We move fast, ship often, and iterate in days, not months.
  • Learning: Work alongside world-class engineers, operators, and founders who care deeply about product, precision, and velocity.

This is a contract role based anywhere in North America. We're an early-stage company, we move fast and work hard. Please apply only if that excites you.
Equal Opportunity
Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration without regard to sex, race, color, age, national origin, religion, disability, sexual orientation, gender identity, veteran status, or any other protected category.