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Manager Ai Annotation Jobs (NOW HIRING)

Innodata Inc.

Data & Annotation Engineer

Washington, DC · On-site

$55 - $60/hr

You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI ...

Innodata Inc.

$55 - $60/hr

You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI ...

EvenUp Inc

Product Manager, AI Entities

San Francisco, CA · On-site

$177K - $209K/yr

We're looking for a Product Manager to join our AI Platform group and own the systems that turn ... Drive decisions on model performance, annotation strategy, and integration with continuous ...

EvenUp

Product Manager, AI Entities

San Francisco, CA · Remote

$177K - $209K/yr

We're looking for a Product Manager to join our AI Platform group and own the systems that turn ... Drive decisions on model performance, annotation strategy, and integration with continuous ...

Teleskope

Jr. AI Engineer - Data Annotation

New York, NY · On-site

$75K - $90K/yr

... manage data sprawl while securely enabling AI adoption. Fresh off our $25 million Series A round ... You'll use Python, SQL, and agentic development tools to make annotation and QC faster, more ...

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Manager Ai Annotation information

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$35.5K

$102.3K

$165K

How much do manager ai annotation jobs pay per year?

As of Aug 21, 2026, the average yearly pay for manager ai annotation in the United States is $102,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ai Annotation vs Data Annotator?

AspectManager Ai AnnotationData Annotator
Required CredentialsBachelor's degree in related field, experience in AI projectsHigh school diploma or equivalent, on-the-job training
Work EnvironmentTeam management, project oversight, collaboration with data scientistsData labeling tasks, working with annotation tools
Industry UsageAI development, machine learning projectsData preparation for AI models
Search & Comparison IntentUnderstanding managerial roles in AI annotationEntry-level annotation tasks

The main difference between Manager Ai Annotation and Data Annotator lies in their responsibilities and experience. Managers oversee annotation projects, coordinate teams, and ensure quality, requiring leadership skills and experience. Data Annotators focus on labeling data accurately under supervision. Managers typically have higher credentials and work in strategic roles, while annotators perform the hands-on labeling tasks essential for AI training.

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Manager Ai Annotation jobs near you
Infographic showing various Manager Ai Annotation job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $102,286 per year, or $49.2 per hour.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Charlotte, NC • Remote

$20/hr

Contractor

Posted 19 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

Apply