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Prompt Data Annotation Ai Jobs (NOW HIRING)

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal candidate will have strong experience in AI/ML data labeling, QA, and evaluation across NLP ...

Abaka AI

Technical Project Associate

Mountain View, CA · On-site

Abaka AI is committed to being the world's most trusted data partner for AI companies. The Technical Project Associate will design, build, and scale operational systems for AI data annotation and ...

Abaka AI

Technical Project Associate

Mountain View, CA · On-site

The Technical Project Associate will help design, build, and scale operational systems for AI data annotation and quality control programs, focusing on automating workflows and improving operational ...

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Prompt Data Annotation Ai information

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How much do prompt data annotation ai jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for prompt data annotation ai in the United States is $36.26, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $39.66 per hour, depending on experience, location, and employer.

What is the difference between Prompt Data Annotation Ai vs Data Labeler?

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

How to become an AI data annotation?

To become an AI data annotation specialist, you should develop strong attention to detail, basic computer skills, and familiarity with annotation tools such as Labelbox or CVAT. Many roles require no formal degree, but understanding of data labeling processes and the ability to follow guidelines are essential. Training is often provided by employers, and the job can involve flexible or part-time schedules.

Is data annotation real or fake?

Data annotation is a real and essential process in AI development where human annotators label data such as images, text, or audio to train machine learning models. It involves accurately tagging data to improve model performance and is performed using specialized tools and guidelines.

What do AI data annotators do?

AI data annotators label and categorize data such as images, videos, text, or audio to help train machine learning models. They use specialized tools to add tags, bounding boxes, or transcriptions, ensuring data quality and consistency for AI development.

How much does data annotation AI pay?

Data annotation AI jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or advanced tools usage.
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Prompt Data Annotation Ai jobs near you

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Chicago, IL • Remote

$20/hr

Full-time, Part-time

Posted 16 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