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Parttime Data Annotation Specialist Jobs in New York

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Parttime Data Annotation Specialist information

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

AspectParttime Data Annotation SpecialistParttime Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, collaborativeRemote or office-based, repetitive tasks
Industry UsageAI and machine learning companiesAI training datasets, machine learning projects
Common Search IntentUnderstanding roles in data annotationFinding entry-level data labeling jobs

Both roles involve labeling data for AI models, often requiring similar skills. The main difference is that Data Annotation Specialists may handle more complex annotation tasks and quality checks, while Data Labelers typically focus on straightforward labeling tasks. Both positions are essential in AI development and are often found in similar work environments.

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Parttime Data Annotation Specialist jobs near you

AI Training Specialist (Data Annotation)

Remote Talent Cloud

New York, NY • Remote

$20/hr

Full-time, Part-time

Posted 18 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