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Video Annotator Jobs (NOW HIRING)

Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials * Ability to follow detailed guidelines consistently and provide clear ...

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Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials * Ability to follow detailed guidelines consistently and provide clear ...

New

Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials * Ability to follow detailed guidelines consistently and provide clear ...

New

Experience as AI reviewer, annotator, or evaluator preferred * Comfortable working with both textual and audio/video materials * Ability to follow detailed guidelines consistently and provide clear ...

New

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Video Annotator information

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$22

$28

$33

How much do video annotator jobs pay per hour?

As of Jun 7, 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.

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 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.

More about Video Annotator jobs
Sr. Software Analyst, Annotation Strategy, Autonomy

Sr. Software Analyst, Annotation Strategy, Autonomy

Rivian

Palo Alto, CA • On-site

$98K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Rivian rating

7.4

Company rating: 7.4 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

About Rivian
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Role Summary
In this role, you will lead strategic planning and coordination of 3D/2D annotation
projects, working closely with both internal and external partners. A key responsibility is
rigorous vendor management, ensuring the quality of deliverables, resolving defects,
and facilitating feature enhancements. Furthermore, the role encompasses developing
policies, setting precise labeling protocols, executing accurate 3D sensor data
annotation, and conducting thorough quality control on all generated datasets. You will
partner closely with Annotation Operations, Perception, and Engineering teams to
ensure data readiness for model training and evaluation.
The ideal candidate is data-driven, detail-oriented, and execution-focused, with a strong
understanding of annotation workflows and a passion for improving data quality and
efficiency at scale. This role plays a critical part in enabling informed decision-making,
continuous process improvement, and scalable annotation operations across internal
teams and external vendors.
Responsibilities
Analyzing Data Insights
• Analyze large-scale 2D/3D annotation datasets to identify data gaps, quality
issues, coverage gaps, and inefficiencies impacting Perception and ML training.
• Utilize dashboards and reports to monitor:
• Annotation throughput, efficiency, and cost
• Quality metrics (QA pass rates, error types, rework)
• Vendor and annotator performance trends
• Interpret complex annotation and perception data into clear, actionable insights
for engineering, annotation operations, and leadership.
• Partner with Perception teams to align data readiness metrics with model training
and evaluation needs.
• Effectively communicate data findings to business partners, bridging the gap
between technical data and strategic organizational goals.
Annotation Operations & Quality
• Assess the level of effort for annotation projects and support end-to-end
execution, including in-house vs. vendor decisions.
• Collaborate with stakeholders to gather labeling requirements and define,
maintain, and evolve labeling policies.
• Manage relationships with various vendors, including contract and quote review,
for third-party annotation services and tools.
• Define and track annotation quality, productivity, and certification metrics;
continuously refine benchmarks.
• Conduct QA/QC analysis on annotated data, identify systemic issues, and
provide structured feedback to annotators and vendors.
• Implement and measure labeling efficiency improvements, using data to validate
impact.
Process Improvement & Automation
• Prepare technical reports and collaborate with cross-functional engineering
teams to ensure consistent process implementation, with the ability to automate
basic processes.
• Identify opportunities to make data delivery and annotation workflows faster,
more accurate, and scalable.
• Identify and propose enhancements to address deficiencies in existing tooling,
improving the efficiency and accuracy of annotation workflows.
Cross-Functional & Vendor Collaboration
• Work closely with Annotation Ops, Perception, and Engineering teams to ensure
consistent process implementation.
• Support vendor management by analyzing performance, cost, and quality metrics
across multiple annotation partners.
• Prepare technical and operational reports to support planning, execution, and
decision-making.
• Coordinate across teams and time zones to ensure alignment and timely delivery.
Qualifications
Required
• BS degree in a technical or related field with 2+ years of relevant experience (or
5+ years equivalent industry experience).
• 2+ years supporting data annotation, ML data, or labeling-related projects.
• Strong understanding of 2D/3D data annotation workflows for ML and Perception
use cases.
• Experience with error taxonomy development and quality assurance (QA)
frameworks for data annotation.
• Working knowledge of databases and/or data visualization tools.
• Experience analyzing LiDAR point clouds, video, and image annotation data.
• Ability to manage multiple projects, prioritize effectively, and deliver under tight
timelines.
• Strong written and verbal communication skills, with the ability to explain project
insights to non-technical stakeholders.
• Experience mentoring or guiding junior team members or offshore teams.
Nice to Have
• Experience building or improving operational analytics for efficiency, cost, or
quality.
• Comfort working in a fast-paced, cross-functional, and collaborative environment.
• Hands-on experience with data analysis, metrics tracking, and dashboarding.
Pay Disclosure
The salary range for this role is $132,100.00 - $165,100.00 for San Francisco Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.
We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian's 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.
Equal Opportunity
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
Candidate Data Privacy
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.
Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services.
Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
Please note that we are currently not accepting applications from third party application services.

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About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009