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Annotator Job Jobs (NOW HIRING)

CloudDevs

Junior AI Data Annotator

New Bremen, OH · Remote

Join our company as a Junior AI Data Annotator . You'll help improve an AI-powered job matching system by analyzing and labeling search results. It's a short-term, remote project where your German ...

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How much do annotator job jobs pay per hour?

As of May 29, 2026, the average hourly pay for annotator job 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 are the key skills and qualifications needed to thrive as an Annotator, and why are they important?

To thrive as an Annotator, you need excellent attention to detail, strong reading comprehension, and familiarity with data labeling or annotation guidelines, often supported by a high school diploma or relevant experience. Proficiency with annotation platforms and tools such as Labelbox, Prodigy, or basic spreadsheets is typically required. Strong communication skills, time management, and the ability to follow precise instructions help individuals stand out in this position. These skills ensure high-quality, accurate data annotation, which is crucial for training reliable AI and machine learning models.

What are some common challenges faced by annotators, and how can they be managed effectively?

Annotators often encounter challenges such as maintaining accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To manage these challenges, it's important to develop strong attention to detail, take regular breaks to avoid fatigue, and seek clarification from team leads when instructions are unclear. Collaborating with peers and participating in review sessions can also help improve consistency and resolve uncertainties in data labeling. Many organizations provide training and feedback to help annotators continuously refine their skills.

What are annotator jobs?

Annotator jobs involve labeling, tagging, or adding metadata to data such as text, images, audio, or video. This work is crucial for training artificial intelligence and machine learning systems, as annotated data helps computers learn to recognize patterns and make decisions. Annotators must pay close attention to detail and generally follow specific guidelines to ensure consistency and accuracy in their work. These jobs can be found in various industries, including technology, healthcare, and autonomous vehicles.

What is the difference between Annotator Job vs Data Labeler?

AspectAnnotator JobData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsSimilar; often requires basic education and attention to detail
Work EnvironmentRemote or office-based; working with datasets and annotation toolsPrimarily remote; focused on labeling data for machine learning
Employer & Industry UsageTech companies, AI firms, research institutionsSame as Annotator Job; used interchangeably in many contexts

Both Annotator Jobs and Data Labelers perform similar roles in preparing data for AI and machine learning. While the titles are often used interchangeably, 'Annotator Job' may emphasize the annotation process, whereas 'Data Labeler' highlights the labeling aspect. Both roles require attention to detail and basic technical skills, and they are commonly found in tech and AI industries.

More about Annotator Job jobs
What job categories do people searching Annotator Job jobs look for? The top searched job categories for Annotator Job jobs are:
Annotator Job jobs near you

Video Data Annotator - Contract

Hooglee

San Francisco, CA • On-site

$25/hr

Part-time

Posted 24 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