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Flexible Data Annotation Specialist Jobs (NOW HIRING)

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Flexible Data Annotation Specialist information

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$13

$32

$63

How much do flexible data annotation specialist jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for flexible data annotation specialist in the United States is $32.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.42 per hour, depending on experience, location, and employer.

What is the difference between Flexible Data Annotation Specialist vs Data Labeler?

AspectFlexible Data Annotation SpecialistData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI/ML projectsRemote or on-site, AI/ML data teams
Industry UsageCommon in AI/ML, data annotation companiesCommon in AI/ML, data annotation companies
Job FocusFlexible annotation tasks, varied data typesLabeling specific data, often repetitive

The main difference is that a Flexible Data Annotation Specialist handles a variety of annotation tasks across different data types and projects, often with more flexibility. A Data Labeler typically focuses on labeling specific data sets, usually with repetitive tasks. Both roles are essential in AI/ML data preparation but differ in scope and flexibility.

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Flexible Data Annotation Specialist jobs near you
Infographic showing various Flexible Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Full-time, Part-time

Re-posted 6 days ago

Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology