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Full Time Video Annotation information

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$59.8K

$95K

How much do full time video annotation jobs pay per year?

As of Jun 19, 2026, the average yearly pay for full time video annotation in the United States is $59,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $69,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced in a full-time video annotation role, and how can they be addressed?

A common challenge in full-time video annotation is maintaining high accuracy and consistency while labeling large volumes of video data, which can be repetitive and mentally demanding. Annotators must stay focused to avoid errors, especially when distinguishing subtle differences between objects or actions across frames. To address these challenges, it's helpful to take regular short breaks, collaborate with teammates on ambiguous cases, and make use of detailed annotation guidelines provided by the employer. Many companies also offer feedback sessions and quality assurance checks to help annotators improve their work and learn best practices.

What is a Full Time Video Annotation job?

A Full Time Video Annotation job involves watching video footage and labeling or tagging specific objects, actions, or events within the video. This work is essential for training artificial intelligence and machine learning models, especially in areas like self-driving cars, security, and content moderation. Full-time annotators are expected to maintain high accuracy and consistency while working with large volumes of data. The job may require familiarity with specialized annotation tools, attention to detail, and sometimes, a basic understanding of the domain featured in the videos.

What is the difference between Full Time Video Annotation vs Data Labeling Specialist?

AspectFull Time Video AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; training in annotation toolsHigh school diploma or equivalent; training in labeling techniques
Work EnvironmentRemote or office-based, using annotation softwareRemote or office-based, using labeling platforms
Industry UsageAutonomous vehicles, AI training, surveillanceMachine learning, AI datasets, computer vision

Full Time Video Annotation involves detailed labeling of video data for AI training, often requiring specific software skills. Data Labeling Specialists focus on annotating various data types, including images and text. Both roles are essential in AI development, but Full Time Video Annotation emphasizes video-specific tasks and tools.

What are the key skills and qualifications needed to thrive as a Full Time Video Annotation Specialist, and why are they important?

To thrive as a Full Time Video Annotation Specialist, you need strong attention to detail, familiarity with video formats, and basic computer literacy, often supported by a high school diploma or equivalent. Experience using annotation tools like CVAT, Labelbox, or VGG Image Annotator is typically required, and knowledge of data labeling standards is a plus. Excellent time management, communication skills, and the ability to focus for extended periods make someone stand out in this position. These skills and qualities are vital for producing accurate, high-quality datasets that power machine learning and AI applications.
More about Full Time Video Annotation jobs
What cities are hiring for Full Time Video Annotation jobs? Cities with the most Full Time Video Annotation job openings:
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What job categories do people searching Full Time Video Annotation jobs look for? The top searched job categories for Full Time Video Annotation jobs are:
Full Time Video Annotation jobs near you
Multimedia Generative AI Analyst - USA (Remote)

Multimedia Generative AI Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$28.80/hr

Full-time

Posted 28 days ago

Job description

About the Role
We are hiring full-time Generative AI Analysts in the United States to support evaluation and quality review of AI-generated videos. In this role, you will review text prompts, watch corresponding video outputs, and identify mismatches, inconsistencies, and visual errors.
 
This role is best suited for candidates with strong attention to detail, excellent visual comprehension, and the ability to follow structured guidelines consistently. Candidates should be comfortable reviewing video content, comparing visual outputs against written prompts, and writing clear, concise annotations. A solid understanding of US driving and road rules is especially important, as some tasks may involve roadway scenarios, vehicle behavior, and basic robotics behavior in real-world environments. 
 
Project Details
  • Job Title: Generative AI Analyst
  • Location: Remote, USA
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $28.80/hour
What You’ll Do
  • Review text prompts and corresponding AI-generated video clips to identify mismatches, inconsistencies, and visual errors.
  • Tag specific parts of the prompt that do not match the video by identifying only the incorrect prompt text, rather than the full sentence unless needed.
  • Add visual or behavioral errors as annotation instances in annotation platform.
  • Write brief, clear descriptions for each error instance.
  • Avoid duplicate annotations by ensuring errors already captured as prompt mismatches are not added again as separate instances.
  • Evaluate video content for actions, context, motion, scene consistency, object behavior, and prompt alignment.
  • Apply project guidelines consistently across repetitive, detail-oriented tasks.
  • Use critical thinking and judgment to handle ambiguous scenarios and determine the most accurate ground truth.
  • Identify recurring or systematic errors across tasks and document examples for review.
  • Perform self-QA on completed work and correct errors before submission.
  • Participate in calibration sessions to align interpretation of guidelines and reduce annotator-to-annotator variance.
  • Incorporate feedback from quality reviews into subsequent work.
  • Support throughput and quality targets while maintaining accuracy at scale.
Requirements:
  • Experience in video annotation, multimedia annotation, content quality review, data labeling, computer vision labeling, Generative AI evaluation, or a closely related field.
  • Work Authorization is required for the role.
  • Strong attention to detail and ability to identify subtle errors, mismatches, and inconsistencies between prompts and videos.
  • Solid understanding of US driving rules, road behavior, traffic scenarios, and roadway conventions.
  • Good reading comprehension and ability to accurately compare written prompts against visual outputs.
  • Strong written communication skills in English, with the ability to describe errors clearly and concisely.
  • Ability to follow detailed guidelines consistently and maintain high accuracy across repetitive tasks.
  • Critical thinking and sound judgment when reviewing ambiguous or complex scenarios.
  • Basic understanding of robotics behavior in real-world environments.
  • Comfortable working in structured annotation platforms or similar tools.
  • Ability to maintain focus and quality while reviewing multimedia content for extended periods.
Ways to Stand Out from the Crowd
  • Prior experience evaluating AI-generated video, synthetic media, autonomous driving data, robotics scenarios, or traffic-related visual content.
  • Familiarity with US traffic rules, road signage, lane behavior, vehicle interactions, pedestrian behavior, and common driving scenarios.
  • Experience with QA, audit, or second-pass review workflows, including calibration, sampling, defect tracking, or error taxonomy development.
  • Ability to identify recurring model failure patterns across tasks or batches.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.