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Video Annotator Jobs (NOW HIRING)

Mercor

Video Game Annotation Specialist

New York, NY · Remote

$16 - $17/hr

Position: Video Game Annotator Type: Contract Compensation: $16-$17/hour Location: Remote Role Responsibilities * Annotate assigned games such as Minecraft and open-world games for structured ...

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How much do video annotator jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for video annotator in the United States is $28.92, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $30.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Video Annotator, and why are they important?

To thrive as a Video Annotator, you need attention to detail, strong visual perception, and familiarity with annotation guidelines, typically supported by a high school diploma or relevant experience. Proficiency in annotation software such as CVAT, Labelbox, or VGG Image Annotator, as well as basic computer skills, is often required. Strong communication, time management, and the ability to follow instructions precisely make someone stand out in this position. These skills ensure high-quality, consistent data labeling that is critical for training accurate machine learning and AI models.

What are video annotators?

Video annotators are professionals who label, tag, or mark specific objects, actions, or events within video footage. Their work is essential for training machine learning models, particularly in computer vision tasks like object detection, tracking, and activity recognition. Video annotators use specialized software tools to frame-by-frame identify and classify elements, ensuring data accuracy for AI applications such as autonomous vehicles, security surveillance, and sports analytics.

Are data annotations still hiring?

Data annotation roles, including video annotator positions, are still in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail and familiarity with annotation tools, and they are frequently available as remote or flexible positions. Hiring trends can vary by industry and region, but overall, data annotation remains a growing field.

Is video annotation hard?

Video annotation as a job involves carefully labeling objects, actions, or scenes within videos, which requires attention to detail and familiarity with annotation tools. The difficulty depends on the complexity of the project and the accuracy required, but it generally involves repetitive tasks that can be learned with practice.

What are some common challenges faced by Video Annotators and how can they be managed?

Video Annotators often encounter challenges such as maintaining high accuracy while labeling large volumes of video data and handling repetitive tasks that can lead to fatigue. Additionally, interpreting ambiguous scenes or adhering to nuanced annotation guidelines can be tricky. To manage these challenges, it's important to take regular breaks, maintain open communication with team leads for clarification, and use annotation tools efficiently. Collaborating with peers and participating in quality assurance reviews can also help ensure consistency and accuracy in the annotations.

What does a video annotator do?

A video annotator is responsible for labeling and tagging objects, actions, and other relevant features within video footage to help train machine learning models. This role often involves using specialized annotation tools and requires attention to detail to ensure accuracy. Video annotators typically work in a team environment and may need to follow specific guidelines or standards for data quality.

What is the difference between Video Annotator vs Video Labeler?

AspectVideo AnnotatorVideo Labeler
CredentialsBasic computer skills, attention to detailSimilar credentials, often with familiarity in labeling tools
Work EnvironmentRemote or on-site, working with video dataSimilar, often in data annotation teams
Industry UsageMedia, AI training, content moderationAI development, machine learning datasets
Job FocusAnnotating video content, drawing bounding boxes, taggingLabeling video segments, categorizing actions

Video Annotators and Video Labelers perform closely related tasks in video data preparation for AI and machine learning. While both roles involve working with video content, Video Annotators focus on detailed annotation like bounding boxes and tagging, whereas Video Labelers typically categorize and segment videos for training datasets. Both roles require similar skills and are often found in AI, media, and tech industries.

How much do annotators get paid?

Video annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer fixed project-based rates or part-time schedules, especially in remote or freelance roles.
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Video Annotator jobs near you

Resource Employee - Video Annotator

USC Gould School of Law

Los Angeles, CA

$30/hr

Part-time

Posted 10 days ago

Job description

The USC Dana and David Dornsife College of Letters, Arts and Sciences at the University of Southern California is seeking to recruit multiple people to participate in one of two remote roles on the Everyday Respect research project. The Everyday Respect research team is working to analyze communication between police officers and drivers on the basis of body worn video recordings. Our objective is to enhance transparency and accountability, and to improve our understanding of officer-civilian communication. See recent coverage of the project by LAist.
Research Participants will watch body-worn camera recordings of 2-5 police traffic stops and answer questions regarding their perceptions of these interactions. Participation requires a minimum 2 hours commitment with up to 5 hours appreciated. This participation time includes both an orientation session and time spent watching videos and answering questions. We can provide Visa gift card compensation of $50-$100, depending on the duration of participation.
Resource Employee: Video Annotators will be trained to complete a series of objective and subjective video annotation tasks. Resource employees will work a minimum of 30 hours (total), with a possibility of employment for up to 35 hours per week up to a total of 120 hours maximum. Paid training is provided for this position.

Video annotators are workers who view video footage captured by police body cameras and then record information about these interactions using a coding manual provided by our team. In the first stages of the project, this work will mostly involve relatively objective measures of what occurs during these interactions, like whether the officer introduces themselves or explains the reason for the stop, or whether a search occurs. In later phases of the project, we will ask for more subjective assessments of communication between officers and drivers.

The data gathered by both research participants and resource employees will be used to train AI models, helping us measure key aspects of communication between officers and drivers.

The Everyday Respect research team is interested in recruiting candidates from as wide of a range of backgrounds as possible. This includes but is not limited to: people of all ages including those over 65; people with a range of educational backgrounds including those who have not completed high school; people from all race and ethnic backgrounds; people whose first language is not English, and especially people who are formerly incarcerated and people who have worked in law enforcement.

Responsibilities of Resource Employees:

  • View video footage captured by police body cameras and record information about interactions
  • Perform other related duties as assigned or requested. The university reserves the right to add or change duties at any time.

Preferred Qualifications for Resource Employees:

  • Must have reliable access to a computer and high speed internet or be capable of commuting to work at the University Park Campus of the University of Southern California.
  • Must be capable of careful attention to detail for extended periods of time while watching videos and recording information about them.
  • Due to the confidential nature of the data, all project participants must sign and adhere to a nondisclosure agreement and media policy agreement.

Hourly range (Resource Employees):The hourly rate range for this position is $22-$30 per hour. Resource employees will work a total of 30-120 hours over a period of up to 3 months.

When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Performs other related duties as assigned or requested. The university reserves the right to add or change duties at any time.

Required Documents and Additional Information:

  • Resume and cover letter required (may be uploaded as one file). Please do not submit your application without these documents.
  • If you are interested in becoming a Research Participant, please fill out this brief questionnaire and we will be in touch very soon.
  • Job openings are posted for a minimum of (5) five business days. This job may be removed from posting boards and filled any time after the minimum posting period has ended, so please apply on the same business day if interested.
Proficiency in basic computer software, such as Microsoft Word.
Comfort with focused evaluation of substantial amounts of video and audio data for extended periods, up to 8 hours per day.
Ability to handle confidential materials and maintain confidentiality.
Exceptional attention to detail

USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this  USC job posting in Workday by copying and pasting this link into your browser:

https://wd5.myworkday.com/usc/d/inst/1$9925/9925$141160.htmld

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