On this page
Data Annotator at a glance
- Main tasks
- Label images, video, text or audio according to guidelines, classify and tag content and transcribe and review audio or text
- Typical entry
- No specific degree required for many roles; domain knowledge is a plus
- Average pay
- $40,000 per year in the U.S.
What does a Data Annotator do?
A Data Annotator labels data so that machine learning and AI models can learn from it. Depending on the project, this means drawing boxes around objects in images, tagging text, transcribing and labeling audio, classifying videos or rating AI answers. Annotators follow detailed guidelines and use specialized annotation tools. Accuracy and consistency are essential, because errors in the training data lead to errors in the model. Many annotation jobs are remote and project-based.
Data Annotator duties and responsibilities
Typical tasks in a Data Annotator job:
- Label images, video, text or audio according to guidelines
- Classify and tag content
- Transcribe and review audio or text
- Rate or compare AI-generated answers
- Check own work and the work of others for quality
- Report unclear cases and suggest guideline improvements
Qualifications and skills
Education & qualifications
- No specific degree required for many roles; domain knowledge is a plus
- Good computer skills
- Strong language skills in the project language
- Experience with annotation tools is a plus
Skills & requirements
- High attention to detail
- Consistency over repetitive tasks
- Ability to follow detailed guidelines
- Reliable internet for remote work
Data Annotator salary 2026
The average salary for a Data Annotator in the U.S. is about $40,000 per year. Pay depends on experience, employer, industry and region:
- Entry level0-2 years $30,000
- Mid level3-5 years $36,000
- Experienced6-10 years $40,000
- Senior11+ years $44,000
- Top earners20+ years $50,000
Based on public data from the U.S. Bureau of Labor Statistics and Payscale. Career-level figures are estimates derived from the national average.
Data Annotator career path
Data Annotators often start on project basis with general labeling tasks.
With experience, they can become quality reviewers, team leads or annotation project managers, or move into AI training, data operations or data analysis roles. Annotators with domain knowledge, for example in medicine, law or coding, are in higher demand.
Work environment
Data annotators usually work remotely at the computer, for AI companies, data service providers or research teams.
Hours are often flexible, with workloads depending on project volume.
Frequently asked questions
What does a Data Annotator do?
A Data Annotator labels data so that machine learning and AI models can learn from it. Depending on the project, this means drawing boxes around objects in images, tagging text, transcribing and labeling audio, classifying videos or rating AI answers. Annotators follow detailed guidelines and use specialized annotation tools.
How much does a Data Annotator earn?
The average salary for a Data Annotator in the U.S. is about $40,000 per year. Entry-level pay starts around $30,000, experienced professionals can reach $50,000 or more, depending on employer, region and experience.
What qualifications do you need to become a Data Annotator?
Typical requirements are: no specific degree required for many roles; domain knowledge is a plus, good computer skills, strong language skills in the project language and experience with annotation tools is a plus.
What is the career path for a Data Annotator?
Data Annotators often start on project basis with general labeling tasks. With experience, they can become quality reviewers, team leads or annotation project managers, or move into AI training, data operations or data analysis roles. Annotators with domain knowledge, for example in medicine, law or coding, are in higher demand.
Where do Data Annotators work?
Data annotators usually work remotely at the computer, for AI companies, data service providers or research teams. Hours are often flexible, with workloads depending on project volume.
About this profile: This Data Annotator job description is based on public sources such as the BLS and Payscale and was structured with the help of AI. It is a general orientation; duties, requirements and pay differ by employer, country and experience.
