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Remote Ai Data Annotator Jobs (NOW HIRING)

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Video Data Annotator Remote (US) | Contractor | Get certified now, work when the project drops iMerit - An EXL Company Robotics AI is having a moment, and it needs sharp eyes to teach it how to see ...

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Video Data Annotator Role Type: Contractor Location: Remote (US Only) iMerit - An EXL Company, is ... remote engagement setting. Company Description iMerit, an EXL Company, is a global leader in AI ...

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Video Data Annotator Role Type: Contractor Location: Remote (US Only) iMerit - An EXL Company, is ... remote engagement setting. Company Description iMerit, an EXL Company, is a global leader in AI ...

Remote AI Data Architect - Public Sector Location: Preferably Colorado Duration: 6 months We are seeking a forward-thinking AI Data Architect to lead data-driven initiatives in the public sector.

Job Title We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language. This is a long-term, remote gig. No prior experience is ...

... Data Annotator, you will play a crucial role in improving the performance and accuracy of our AI ... remote position. Application Deadline This position is anticipated to close on Aug 13, 2026. About ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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Remote Ai Data Annotator information

What is a remote AI data annotator?

Remote AI Data Annotators are professionals who label, categorize, or tag data such as images, text, audio, or video to train and improve artificial intelligence (AI) models. They work remotely, often from home, using specialized software to ensure data is accurate and useful for machine learning algorithms. Their work is essential for helping AI systems learn to recognize patterns, make predictions, and perform tasks like image recognition or natural language processing. Annotators must be detail-oriented and follow specific guidelines to ensure the quality and consistency of labeled data.

What skills and qualifications are needed to thrive as a remote AI data annotator?

To thrive as a Remote AI Data Annotator, you need keen attention to detail, strong analytical skills, and familiarity with data labeling concepts, often supported by a high school diploma or higher. Experience with annotation platforms, data management tools, and sometimes knowledge of scripting languages like Python is valuable. Strong communication, time management, and self-motivation are essential soft skills for meeting deadlines and working independently. These skills ensure high-quality, consistent data annotation, which is crucial for developing accurate AI and machine learning models.

What are common challenges faced by remote AI data annotators, and how can they be addressed?

Remote AI data annotators often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent labeling accuracy, and managing effective communication with team members across different time zones. To address these, it's helpful to establish a structured work schedule, use productivity tools to minimize distractions, and actively participate in team meetings or chats to clarify annotation guidelines. Regular feedback sessions and quality checks also play a key role in maintaining high annotation standards and fostering professional growth within the team.

What is the difference between Remote Ai Data Annotator vs Remote Machine Learning Data Labeler?

AspectRemote Ai Data AnnotatorRemote Machine Learning Data Labeler
Required CredentialsBasic computer skills, training in annotation toolsSimilar, often no formal degree required
Work EnvironmentRemote, flexible hours, task-basedRemote, task-based, often part-time
Industry UsageAI, machine learning, autonomous vehicles, healthcareAI, machine learning, computer vision, NLP
Search & Comparison IntentHigh overlap, often compared for entry-level rolesSimilar roles, slightly more specialized in data types

The Remote Ai Data Annotator and Remote Machine Learning Data Labeler roles are quite similar, often requiring basic technical skills and working remotely in AI-related industries. The main difference lies in terminology and specific data types labeled, but both roles serve as entry points into AI data preparation, with overlapping skills and work environments.

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States with the most job openings for Remote Ai Data Annotator jobs include:

Infographic showing various Remote Ai Data Annotator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Video Data Annotator

San Jose, CA • Remote

iMerit
5 - 10K employees

$35/hr

Contractor

Posted 10 days ago

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Job description

Video Data Annotator

Remote (US)  |  Contractor  |  Get certified now, work when the project drops

iMerit – An EXL Company


Robotics AI is having a moment, and it needs sharp eyes to teach it how to see the world. We're building our next roster of Video Data Annotators ahead of a major robotics project, and we want the best people locked in early.


The Work

  • Watch and annotate robotics video footage against clear guidelines.
  • Score clips for quality, relevance, and accuracy.
  • Tag key actions, objects, and events with precision.
  • Flag unclear guidelines and help sharpen the process.
  • Keep output consistent and on deadline.


What You Bring

  • Real experience annotating video data.
  • An eye for detail that catches what others miss.
  • Robotics footage experience is a big plus.
  • Strong written English, comfortable working remotely and independently.
  • No AI background needed. Your eye for detail is what matters.


Why Get Certified Now

Robotics annotation is one of the fastest-moving corners of AI training, and once a project opens, timelines move fast. Get certified today and skip the line. No cold applications, no waiting in a queue when it's time to start.


Company Description

iMerit, an EXL Company, is a global leader in AI data solutions, trusted by the world's most innovative organizations to power mission-critical AI initiatives. Our platforms and domain expertise support companies to build accurate, reliable, and scalable AI solutions.