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Assistant Video Annotation Jobs (NOW HIRING)

Operational Support * Assist with troubleshooting minor operational or equipment issues. * Support ... We're experts in data annotation, supporting text, 2D, 3D image, video, and sensor data for machine ...

Data Solutions Engineer

Mountain View, CA ยท On-site

$136K - $163K/yr

... image, video, audio, text, reasoning, and multimodal domains โ€ข Troubleshoot dataset quality ... teams โ€ข Assist with dataset reviews, QA processes, delivery validation, and project health ...

Data Solutions Engineer

Mountain View, CA ยท On-site

$136K - $163K/yr

... image, video, audio, text, reasoning, and multimodal domains โ€ข Troubleshoot dataset quality ... teams โ€ข Assist with dataset reviews, QA processes, delivery validation, and project health ...

Data Solutions Engineer

Mountain View, CA ยท On-site

$136K - $163K/yr

... image, video, audio, text, reasoning, and multimodal domains โ€ข Troubleshoot dataset quality ... teams โ€ข Assist with dataset reviews, QA processes, delivery validation, and project health ...

Attend meetings, workshops, conferences and testing events as a Subject Matter Expert Assist with ... Experience managing large-scale video collection/annotation * Experience with video collection from ...

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Assistant Video Annotation information

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$10

$24

$48

How much do assistant video annotation jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for assistant video annotation in the United States is $24.75, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $29.33 per hour, depending on experience, location, and employer.

Are data annotations still hiring?

Data annotation roles, including assistant video annotation, 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 based on industry needs and technological advancements.

Is video annotation hard?

Video annotation as an assistant job involves labeling moving images accurately, which requires attention to detail and some familiarity with annotation tools. The difficulty depends on the complexity of the tasks and the worker's experience, but it generally involves repetitive work that can be learned with training and practice.

What is the difference between Assistant Video Annotation vs Video Labeling Specialist?

AspectAssistant Video AnnotationVideo Labeling Specialist
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma; experience with labeling tools
Work EnvironmentRemote or office-based; collaborative teamsPrimarily remote; focused on data annotation tasks
Industry UsageUsed in AI training, autonomous vehicles, and tech companiesCommon in AI, machine learning, and data annotation firms
Job FocusAssisting with video annotation tasks, following guidelinesPerforming detailed labeling of video data for model training

Assistant Video Annotation roles typically involve supporting annotation tasks under supervision, focusing on following guidelines. Video Labeling Specialists often handle more detailed, independent labeling work. Both roles are essential in AI data preparation but differ in scope and experience requirements.

What are Assistant Video Annotation jobs?

Assistant Video Annotation jobs involve helping to label, tag, or identify specific elements within video content. This work is crucial for training artificial intelligence and machine learning models that rely on accurately annotated video data. Assistants may mark objects, actions, timestamps, or other important features within video frames. These positions often require attention to detail, basic computer skills, and sometimes familiarity with specialized annotation tools. Such roles are commonly found in tech companies, research institutions, or organizations developing AI-driven products.

What are some typical challenges faced by Assistant Video Annotation professionals, and how can they be managed?

Assistant Video Annotation professionals often encounter challenges such as handling large volumes of video data, maintaining high accuracy in labeling frames, and adhering to tight project deadlines. Managing these challenges requires strong attention to detail, effective use of annotation tools, and good communication with team members to clarify guidelines. Regular feedback sessions and a well-organized workflow also help ensure consistency and efficiency in annotations.

What are the key skills and qualifications needed to thrive as an Assistant Video Annotation Specialist, and why are they important?

To thrive as an Assistant Video Annotation Specialist, you need attention to detail, familiarity with basic video editing or labeling tools, and the ability to accurately interpret instructions, often supported by a high school diploma or equivalent. Experience with annotation platforms like CVAT, Labelbox, or VGG Image Annotator, and basic understanding of file formats are typically required. Strong organizational skills, patience, and the ability to work independently enhance performance in this repetitive and quality-focused role. These skills are crucial because precise annotation directly impacts the effectiveness of machine learning models and project outcomes.

What does a video annotator do?

A video annotator is responsible for labeling and tagging objects, actions, and other relevant data within video footage to help train machine learning models. They use specialized tools to ensure accuracy and consistency, often working with guidelines and quality standards. This role requires attention to detail and knowledge of annotation software.

How much does an AI annotator make?

AI annotators, including those in assistant video annotation roles, typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are entry-level and may require familiarity with annotation tools and attention to detail.
What cities are hiring for Assistant Video Annotation jobs? Cities with the most Assistant Video Annotation job openings:
What are the most commonly searched types of Video Annotation jobs? The most popular types of Video Annotation jobs are:
What states have the most Assistant Video Annotation jobs? States with the most job openings for Assistant Video Annotation jobs include:
What job categories do people searching Assistant Video Annotation jobs look for? The top searched job categories for Assistant Video Annotation jobs are:
Infographic showing various Assistant Video Annotation job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $51,476 per year, or $24.7 per hour.
Driver - Data Collection (Contract)

Driver - Data Collection (Contract)

Sama

San Francisco, CA โ€ข On-site

$25/hr

Contractor

Medical, Dental, Vision, Life, PTO

Posted 8 days ago


Job description

Sama is supporting a professional services engagement with an automotive client to conduct structured real-world data collection using sensor-equipped vehicles. This project will collect high-quality driving data to support the development of advanced autonomous vehicle systems.
The field team will operate in a dual driver/co-pilot configuration to ensure safety, reduce fatigue, and improve data collection quality. We are hiring 3 Drivers to join this project team.
This is a 4 months contract opportunity paying $25/hour. Sama will offer a Driver Incentive Program tied to completion of the full project duration.
Role Overview
Drivers will operate client-provided vehicles equipped with specialized sensors to capture structured driving scenarios across designated routes and locations in the Bay Area. Drivers will work closely with a co-driver during collection sessions and follow predefined protocols to ensure high-quality data capture.
Key Responsibilities
Vehicle Operation
  • Drive sensor-equipped vehicles along predefined routes across the Bay Area.
  • Operate vehicles with trailer hitching and reversing when required.
  • Maintain safe driving practices and comply with all local traffic laws.

Data Collection
  • Conduct daily driving sessions during peak sunlight hours (approximately 4 hours per day) to optimize sensor performance.
  • Follow structured collection protocols to capture specific driving scenarios and objects.
  • Monitor collection tools and systems to ensure successful capture.

Operational Support
  • Assist with troubleshooting minor operational or equipment issues.
  • Support setup and breakdown of equipment when required.
  • Ensure safe operation of vehicles, sensors and surrounding environments during data collection.
  • May include data upload of collected data
  • Communication with Project Manager for list of target locations and routes for the coming day(s)

Qualifications
  • Valid clean driver's license
  • Minimum age 25 years old
  • Proven experience driving with trailers, hitching and reversing (ability to provide a demonstrating short video)
  • Comfortable driving for extended periods in urban environments
  • Attention to detail and safety awareness

About Sama
Sama provides high-quality training data that powers AI technology for Fortune 2000 companies such as Google, Walmart, Ford, Microsoft, and Marriott. We're experts in data annotation, supporting text, 2D, 3D image, video, and sensor data for machine learning algorithms and generative AI models. Sama offers the highest quality SLAs in the industry, along with cutting-edge ML-assisted annotation tools, QA processes, and security and compliance standards.
Founded in 2008 on the belief that "talent is equally distributed, but opportunity is not", Sama is driven by the mission to expand opportunities for those who are underprivileged. As a certified B-Corp, Sama has provided worker training programs to increase economic opportunity for more than 15,000 people from underserved communities. By connecting our customers with amazing talent in East Africa, we've impacted more than 69,000 workers and their dependents.
Today, our vision is to provide data scientists, ML engineers, and data operations teams with an indispensable, integrated platform for AI data preparation, labeling, and collection.
For more information, visit www.sama.com.
More information can be found at:
  • Featured in Forbes: How Ethical Is Your AI?
  • Sama Honored on Inc. Magazine's Annual List of America's Fastest-Growing Private Companies - the Inc. 5000
  • Reversing Poverty - Ted Talk by our founder Leila Janah

Our Culture:
Sama is quite unique. We are a technology company with a social mission. People that thrive in a high-growth environment, love working on the bleeding edge of technology, and really care about having a positive impact on the world are a great fit for the Sama culture. Our core values are One Team, One Goal - Deliver. Period. - Trust & Transparency - Customer First - Humanity.
Our Benefits:
Sama offers competitive compensation commensurate with experience and a full benefits package, including: medical, dental, and vision insurance, long-term disability insurance, life, and AD&D insurance, employer-matching Group RRSP, generous holiday and vacation policies, a monthly fitness stipend, monthly cell phone reimbursement and professional development opportunities. Our Talent Acquisition team would be happy to discuss our benefits packages with you in more detail during the interview process.
At Sama, we pride ourselves in being a diverse and equal opportunity employer.