1

Video Annotation Jobs Near Me

Video Annotation information

See salary details

$26K

$59.8K

$95K

How much do video annotation jobs pay per year?

As of Jun 29, 2026, the average yearly pay for 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 cities are hiring for Video Annotation jobs? Cities with the most Video Annotation job openings:
What states have the most Video Annotation jobs? States with the most job openings for Video Annotation jobs include:
What are the most commonly searched types of Video Annotation jobs? The most popular types of Video Annotation jobs are:
A map of the United States highlighting the number of Video Annotation job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Video Annotation job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Annotator for AI Models - English (United States)

RWS TrainAI

Columbus, OH • On-site, Remote

$53 - $68.50/hr

Full-time

Posted 17 days ago


Key responsibilities

  • Annotate data accurately and consistently according to predefined guidelines in the required language.

  • Perform basic research as needed to ensure accurate annotation.

  • Provide feedback regarding observed patterns in the annotated data and contribute to continuous improvement of the data annotation process.


Job description

Location: Remote working in the following US States: CA, CO, DE, FL, GA, IL, IN, KS, MA, MN, NC, NE, NH, NJ, NM, NY, OK, OR, PA, TN, TX, WA, WI
Work Schedule: Full time, 8 AM to 5 PM PST time (Monday to Friday) 
Experience: previous experience in data annotation or content review is a plus
Education: Bachelor's degree (or equivalent experience) required
Contract duration: End of September, 2026
 
Does this sound like you?
Are you looking for remote, work-from-home jobs where you can set your own schedule? Are you interested in helping to improve the reliability of today's AI models? If yes, then this opportunity is for you!
 
What we are looking for!
RWS Group is looking for US-based  Data Annotators to annotate, evaluate and curate text, video and geographic data. This information will be used to train and improve generative AI and machine learning models. 
 
Responsibilities:
- Annotate data accurately and consistently according to predefined guidelines in the required language.
- Perform basic research as needed to ensure accurate annotation.
- Provide feedback regarding observed patterns in the annotated data and contribute to continuous improvement of the data annotation process.
- Maintain high attention to detail and quality throughout the annotation process.
- Continuous learning and adaptability; willingness to provide feedback and ask questions.
(Training will be provided post-hire).
 
Work benefits:
- Work from home, full time
- Work-life balance - maintain your lifestyle while you work
- Timely payments made directly to your bank account
- Equipment will be provided
  
Job Requirements
- Excellent comprehension and written communication skills in English. Additional language knowledge is a plus.
- Located in any of the following US States: CA, CO, DE, FL, GA, IL, IN, KS, MA, MN, NC, NE, NH, NJ, NM, NY, OK, OR, PA, TN, TX, WA, WI.
- Ability to work full time, from 8 AM to 5 PM PST time (Monday to Friday), no exceptions. 
- Bachelor's degree or equivalent work experience required.
- Familiarity with Excel or Google Sheets, including basic formulas.
- Good general communication skills.
- Detail-oriented with the ability to understand and follow instructions.
- Ability to meet deadlines.
- Responsible, reliable, and communicative.
 
Preferred Qualifications:
- Familiarity with the Appen Annotation Platform (ADAP) and machine learning principles.
- A broad range of interests with specific areas of expertise is a plus.
- Experience in a professional work environment.
- Previous experience with data annotation tasks.
apply for this job