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Artificial Intelligence Data Annotation Remote Jobs

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

... for artificial intelligence (AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence throughout the US and internationally. The company has been recognized ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Louisville, KY · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

TSMG

AI/ML Data Contributor

Louisville, KY · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

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Artificial Intelligence Data Annotation Remote information

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Data Annotation Specialist (Remote), and why are they important?

To thrive as an Artificial Intelligence Data Annotation Specialist (Remote), you need strong attention to detail, basic computer proficiency, and a solid understanding of data labeling guidelines, typically supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required. Excellent time management, communication skills, and the ability to follow instructions precisely help individuals stand out in this role. These skills ensure the production of high-quality, accurately labeled datasets that are critical for training reliable AI models.

What is the difference between Artificial Intelligence Data Annotation Remote vs Data Labeler?

AspectArtificial Intelligence Data Annotation RemoteData Labeler
CredentialsBasic computer skills, training in annotation toolsBasic education, sometimes specific software training
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageAI, machine learning, autonomous vehicles, healthcareVarious sectors including tech, retail, healthcare
Search & Comparison IntentUnderstanding roles in AI data prepEntry-level data labeling tasks

Artificial Intelligence Data Annotation Remote involves detailed annotation work for AI training datasets, often requiring familiarity with annotation tools. Data Labeler is a broader term for entry-level labeling tasks across industries. While both roles are remote and involve data work, AI Data Annotation Remote typically demands more specialized knowledge and is more focused on AI applications.

What is Artificial Intelligence Data Annotation Remote?

Artificial Intelligence Data Annotation Remote is a job where individuals label, tag, or categorize data—such as images, text, audio, or video—from a remote location to help train and improve AI models. Data annotators play a crucial role in ensuring that machine learning algorithms can accurately interpret and process real-world information. The work can involve tasks like identifying objects in photos, transcribing audio, or classifying text, and is typically carried out using specialized software provided by employers or third-party platforms. Being a remote position, it offers flexibility and the ability to work from anywhere with a reliable internet connection.

What are some common challenges faced by remote Artificial Intelligence Data Annotation specialists, and how can they be managed?

Remote AI data annotation specialists often encounter challenges such as maintaining high concentration during repetitive tasks, ensuring data accuracy, and managing communication across distributed teams. Staying organized with clear guidelines and regular check-ins can help mitigate these issues. Utilizing productivity tools, taking scheduled breaks, and participating in team discussions can also improve focus and foster collaboration, ensuring high-quality annotated data for AI model training.
What are the most commonly searched types of Artificial Intelligence Data Annotation jobs? The most popular types of Artificial Intelligence Data Annotation jobs are:

AI Training Specialist (Data Annotation)

Remote Talent Cloud

New York, NY • Remote

$20/hr

Full-time, Part-time

Posted 13 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