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Contract Data Labeler Jobs (NOW HIRING)

Stack AV

Contract Labeling Associate

Pittsburgh, PA · On-site

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 ...

Eurofins

Contracts Specialist

Lancaster, PA · On-site

... and labelling is accurate. The Eurofins network of companies is the global leader in food ... Manage contract data for timeliness, accuracy, and quality; * Maintain complete, accurate, and up ...

Eurofins Scientific

Contracts Specialist

Lancaster, PA · On-site

... and labelling is accurate. The Eurofins network of companies is the global leader in food ... Manage contract data for timeliness, accuracy, and quality; * Maintain complete, accurate, and up ...

Saalex

Configuration and Data Manager

Ridgecrest, CA

$40 - $70/hr

Contract Data & Deliverables * Oversee CDRL Lifecycle: Manage the complete lifecycle of Contract ... labels (e.g., CUI) in compliance with program permissions and DFARS requirements. * Enforce ...

Saalex

Configuration and Data Manager

Ridgecrest, CA · On-site

$40 - $70/hr

Contract Data & Deliverables * Oversee CDRL Lifecycle: Manage the complete lifecycle of Contract ... labels (e.g., CUI) in compliance with program permissions and DFARS requirements. * Enforce ...

Saalex

Configuration and Data Manager

Ridgecrest, CA · On-site

$40 - $70/hr

Contract Data & Deliverables * Oversee CDRL Lifecycle: Manage the complete lifecycle of Contract ... labels (e.g., CUI) in compliance with program permissions and DFARS requirements. * Enforce ...

Saalex

Configuration and Data Manager

Ridgecrest, CA · On-site

$40 - $70/hr

Contract Data & Deliverables * Oversee CDRL Lifecycle: Manage the complete lifecycle of Contract ... labels (e.g., CUI) in compliance with program permissions and DFARS requirements. * Enforce ...

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Contract Data Labeler information

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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
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What are the most commonly searched types of Data Labeler jobs? The most popular types of Data Labeler jobs are:
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Contract Data Labeler jobs near you
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.

Contract Labeling Associate

Stack AV

Pittsburgh, PA • On-site

Full-time

Posted 29 days ago

Job description

About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
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 closely with manual labeling efforts and infrastructure teams to create a data centric ecosystem needed to develop real time, safety critical ML models for autonomous driving.
We are looking for a Labeling Analyst to review and ensure a high quality of labels delivered to our Autonomy teams. The job entails operating internal and third party tools to visualize labels and checking if they meet our quality and labeling standards. The Labeling Analyst will also collaborate across operational and technical teams to identify and correct issues and support other labeling related tasks as needed.
Responsibilities:
  • Review labels using internal and third party tooling to identify defects, mis-labeled or unlabeled items.
  • Perform high-precision mapping and spatial data annotation activities crucial for autonomous vehicle navigation, utilizing proprietary tooling.
  • Update issue trackers based on defects found, summarize findings and write reports.
  • Follow up with internal and third party partners to resolve quality issues.
  • Participate in defining requirements for, testing, and creating user documentation for internal label editing and review tooling.
  • Help with other tasks such as selecting suitable logs for labeling and generating analytics on the QA process.
  • Partner with engineering teams to define requirements for, test, and create user documentation for new proprietary labeling and mapping tools.

Qualifications:
  • Computer literacy and operate web based tools.
  • Ability to work with Google docs, spreadsheets, write summary reports and aggregate statistics using Google Sheets.
  • Ability to take high level acceptance criteria guidance and follow it to execute on label review.
  • Ability to work in a highly collaborative, team environment across a variety of functional domains, both operational and technical.

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.

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