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Contract Data Labeler Jobs (NOW HIRING)

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

Data Labeling Specialist We are seeking a detail-oriented Data Labeling Specialist to join our ... Job Type & Location This is a Contract to Hire position based out of San Jose, CA. Pay and Benefits ...

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

Data Labeling Specialist We are seeking a detail-oriented Data Labeling Specialist to join our ... Job Type & Location This is a Contract to Hire position based out of San Jose, CA. Pay and Benefits ...

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

Job Title: Data Labeling Specialist **Seeking entry level data specialists/IT for a robotics/AI ... Pay: $30/hr Job Type & Location This is a Contract to Hire position based out of San Jose, CA. Pay ...

Aerotek

Data Labeling Specialist

San Jose, CA

$30/hr

Job Title: Data Labeling Specialist **Seeking entry level data specialists/IT for a robotics/AI ... Pay: $30/hr Job Type & Location This is a Contract to Hire position based out of San Jose, CA. Pay ...

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All JobsContract Data Labeler Jobs

Contract Data Labeler information

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$10

$13

$17

How much do contract data labeler jobs pay per hour?

As of Jul 15, 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 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.

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.
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:
What job categories do people searching Contract Data Labeler jobs look for? The top searched job categories for Contract Data Labeler jobs are:
Contract Data Labeler jobs near you
Infographic showing various Contract Data Labeler job openings in the United States as of July 2026, with employment types broken down into 33% Full Time, 33% Part Time, 17% Temporary, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.

Video Data Annotator - Contract

Hooglee

San Francisco, CA • On-site

$25/hr

Part-time

Re-posted 10 days ago

Job description

Video Data Annotator (Contract) - On-Site
Location: San Francisco, On-site
Compensation: $25/hour
Schedule: Part-time (4-8 hours per day)
Duration: 10-week engagement to start
We are looking for a Video Data Annotator (Contract) to support our AI Team.
This is an on-site role. A device will be provided in the office.
Program Overview
  • 10-week initial engagement
  • Opportunity to transition to full-time based on team needs and performance
What You'll Do
  • Watch and annotate video data across different formats
  • Label and evaluate video content with high accuracy
  • Provide feedback on video quality and questionnaire setup to the AI Team
  • Communicate clearly about edge cases, inconsistencies, or improvements
Must-Have Qualifications
  • Strong attention to detail
  • Strong English reading, writing, and speaking skills
Nice-to-Have
  • Prior data labeling or annotation experience

If you're detail-oriented, comfortable working with video content, and excited to contribute to AI model development, we'd love to hear from you.

Apply