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Annotator Jobs (NOW HIRING)

Video Data Annotator (Contract) - On-Site Location: San Francisco, On-site Compensation: $25/hour Schedule: Part-time (4-8 hours per day) Duration: 10-week engagement to start We are looking for a ...

Arthur Lawrence is looking for a Data Annotator one of our clients in Fremont, CA. Please find the below and send us your updated resume if interested: Must-Have Skills: * Experience in autonomous ...

IntelliPro is a global leader in talent acquisition and HR solutions, and they are seeking a Data Annotator to help annotate visual 3D data and 2D imagery for AI development. The role involves ...

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Data Annotator (Autonomous Vehicle / AI) Location: San Francisco, CA 94103 Schedule: Hybrid, Monday - Friday 8AM - 5PM Duration: 6 months (possible extension) Pay Rate: $32.00 - $39.00 per hour ...

ICON Consultants, LP is seeking a highly skilled Data Annotator to support the development of advanced autonomous driving systems. The role involves converting complex sensor data into high-quality ...

Data Annotator Location: San Francisco, CA 94158 OR Sunnyvale, CA 94086 Duration: 6 Months Top 3 Responsibilities * Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding ...

Data Annotator

San Francisco, CA ยท On-site

$35 - $40/hr

Data Annotator Location: San Francisco, CA 94158 Duration: 6 Months Pay Rate : $35-$40/hr Top 3 Responsibilities * Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding ...

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Annotator information

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How much do annotator jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for annotator in the United States is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.00 per hour, depending on experience, location, and employer.

What are typical responsibilities for an Annotator on a daily basis?

As an Annotator, your daily tasks usually involve reviewing and labeling large sets of data, such as text, images, audio, or videos, based on specific project guidelines. You may need to work closely with other annotators, project managers, or data scientists to ensure labeling consistency and resolve ambiguities in the data. Quality assurance is a key component, with regular feedback and accuracy checks to maintain high standards. This role may also involve adapting to new guidelines as projects evolve or as clients' requirements change.

What does an Annotator do?

An Annotator is responsible for labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. They follow specific guidelines to ensure accuracy and consistency in data annotation. This role is essential in improving artificial intelligence applications, such as chatbots, image recognition systems, and automated speech recognition. Annotators often work with large datasets and use specialized tools to complete their tasks efficiently.

Which 3 jobs will survive AI?

For an annotator, jobs that require complex judgment, creativity, and emotional intelligence are more likely to survive AI automation. Roles such as data annotators in specialized fields, quality assurance specialists, and roles involving nuanced understanding of context are less susceptible to automation. Developing skills in critical thinking and domain expertise can help maintain job security in an AI-driven workplace.

What does an annotator do?

An annotator is responsible for labeling or tagging data, such as images, text, or audio, to help train machine learning models. This role requires attention to detail and often involves using specialized annotation tools to ensure data accuracy and consistency.

What qualifications do you need to be a data annotator?

Data annotators typically need strong attention to detail, basic computer skills, and the ability to follow instructions accurately. A high school diploma or equivalent is usually sufficient, and familiarity with specific tools or platforms used for annotation can be beneficial. Some roles may require knowledge of the subject matter or language skills depending on the data type.

How much do annotators get paid?

Annotators typically earn between $10 and $25 per hour, depending on the employer, location, and complexity of the tasks. Many work remotely and may be paid per task or project, with some platforms offering bonuses for high accuracy or speed.

What are the key skills and qualifications needed to thrive in the Annotator position, and why are they important?

Success as an Annotator requires attention to detail, strong reading comprehension, and the ability to consistently apply guidelines to label data accurately, often supported by a high school diploma or equivalent. Familiarity with annotation tools, databases, and sometimes basic knowledge of programming languages like Python can be beneficial. Excellent communication, time management, and the ability to work independently or in a team are valuable soft skills. These skills are crucial for producing high-quality, reliable datasets that support machine learning and research projects.

What cities are hiring for Annotator jobs? Cities with the most Annotator job openings:
What are the most commonly searched types of Annotator jobs? The most popular types of Annotator jobs are:
What states have the most Annotator jobs? States with the most job openings for Annotator jobs include:
Infographic showing various Annotator job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, 23% Part Time, 2% Temporary, and 20% Contract. Highlights an 55% Physical, 1% Hybrid, and 44% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

Video Data Annotator - Contract

Hooglee

San Francisco, CA โ€ข On-site

$25/hr

Part-time

Posted 16 days ago


Job description

Video Data Annotator (Contract) - On-Site
Location: San Francisco, On-site
Compensation: $25/hour
Schedule: Part-time (4-8 hours per day)
Duration: 10-week engagement to start
We are looking for a Video Data Annotator (Contract) to support our AI Team.
This is an on-site role. A device will be provided in the office.
Program Overview
  • 10-week initial engagement
  • Opportunity to transition to full-time based on team needs and performance
What You'll Do
  • Watch and annotate video data across different formats
  • Label and evaluate video content with high accuracy
  • Provide feedback on video quality and questionnaire setup to the AI Team
  • Communicate clearly about edge cases, inconsistencies, or improvements
Must-Have Qualifications
  • Strong attention to detail
  • Strong English reading, writing, and speaking skills
Nice-to-Have
  • Prior data labeling or annotation experience

If you're detail-oriented, comfortable working with video content, and excited to contribute to AI model development, we'd love to hear from you.