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Remote Data Annotator Jobs (NOW HIRING)

iMerit

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Video Data Annotator

San Jose, CA · Remote

$35/hr

Video Data Annotator Role Type: Contractor Location ... Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a ...

iMerit

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Video Data Annotator

San Jose, CA · Remote

$35/hr

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 ...

iMerit

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Video Data Annotator

Miami, FL · Remote

$35/hr

Video Data Annotator Role Type: Contractor Location ... Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a ...

Prointegrate LLC

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Business Analyst - Data Annotator (USA) - Remote

Dallas, TX · Remote

$15 - $17/hr

Business Analyst - Data Annotator Location: Remote - United States Employment Type: Short-Term Contractor / Freelancer Engagement : Approximately 6-7 months (24-28 weeks) Start Date: September 4, ...

Careerflow

Japanese Data Annotator

$640/wk

This is a long-term, remote gig. No prior experience is required. On the job training will be provided. What You Will Do * Review content in your native language (e.g., newspaper articles, website ...

Thinkfind

Image Annotator

Fort Worth, TX · Remote

$22.90/hr

This is an excellent long-term, 100% remote contract opportunity for a highly detail-oriented ... Team members use data-driven processes to locate and review images containing defects of interest ...

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

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

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Remote Data Annotator information

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$243.5K

How much do remote data annotator jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data annotator in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a remote data annotator?

A Remote Data Annotator is a professional who labels, categorizes, or tags data—such as images, text, audio, or video—while working from a remote location. This annotated data is then used to train and improve machine learning models and artificial intelligence systems. Data annotators ensure the quality and accuracy of data, which is crucial for AI applications like self-driving cars, voice recognition, and search engines. The work can vary from simple labeling tasks to more complex categorization, depending on the project requirements.

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

To thrive as a Remote Data Annotator, you need strong attention to detail, accuracy, and a basic understanding of data labeling concepts, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes basic coding or spreadsheet software is typically required. Excellent time management, communication, and self-motivation help you consistently meet deadlines and quality standards while working independently. These skills and qualities ensure the precise labeling of data necessary for training reliable AI and machine learning models.

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

Remote data annotators often encounter challenges such as maintaining focus during repetitive tasks, ensuring annotation accuracy, and communicating effectively with distributed teams. To overcome these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and leverage collaboration tools for clear communication with project managers and peers. Additionally, staying updated with project guidelines and seeking feedback can significantly improve both productivity and annotation quality.

What is the difference between Remote Data Annotator vs Remote Data Labeler?

AspectRemote Data AnnotatorRemote Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating complex data types (images, videos)Labeling simpler data (images, text)

Remote Data Annotators typically handle complex data annotation tasks like videos and images, requiring more detailed work. Remote Data Labelers focus on simpler labeling tasks, often involving images or text. Both roles are remote, involve similar skills, and are used in AI and machine learning industries, but differ in complexity and scope of data handled.

More about Remote Data Annotator jobs

What cities are hiring for Remote Data Annotator jobs?

Cities with the most Remote Data Annotator job openings:

What are the most commonly searched types of Data Annotator jobs?

The most popular types of Data Annotator jobs are:

What states have the most Remote Data Annotator jobs?

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

What job categories do people searching Remote Data Annotator jobs look for?

The top searched job categories for Remote Data Annotator jobs are:

Remote Data Annotator jobs near you
Infographic showing various Remote Data Annotator job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Video Data Annotator

iMerit

San Jose, CA • Remote

$35/hr

Contractor

Posted 18 days ago

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Job description

Video Data Annotator

Role Type: Contractor

Location: Remote (US Only)


iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Annotate and review robotics-related video footage using detailed guidelines provided for each assignment.
  2. Assess and score video clips for data quality, relevance, and accuracy based on a predefined scoring guide.
  3. Identify and label specific actions, objects, or events within video data, ensuring comprehensive and precise annotation.
  4. Collaborate with the iMerit project team to clarify annotation standards and resolve ambiguities in the scoring process.
  5. Document annotation decisions and provide feedback on the clarity and effectiveness of guidelines.
  6. Perform ongoing quality assurance checks to verify that annotations adhere to project requirements and deliverables.
  7. Deliver annotations and evaluations consistently and within set project timeframes.


Preferred Qualifications

  1. Mid-level experience with video data annotation across various platforms or projects.
  2. Demonstrated attention to detail and commitment to producing high-quality, accurate annotations.
  3. Strong written and verbal communication skills, with the ability to document findings and interact with team members remotely.
  4. Previous experience with robotics footage or robotics-related annotation tasks (heavily preferred).
  5. Ability to interpret and apply complex annotation guidelines and scoring rubrics.
  6. Familiarity with AI review processes or quality assurance in data annotation projects.
  7. Proactive approach to problem-solving and a self-motivated work style in a remote engagement setting.

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.