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Video Annotation Jobs in California (NOW HIRING)

BrightAI

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $155K/yr

... annotation workflows * Concrete portfolio work -- datasets, scripts, and model contributions -- that translates directly to future ML/CV roles What You'll Do * Annotate images and video for object ...

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Video Annotation information

What is a Video Annotation job?

A Video Annotation job involves labeling objects, activities, or events within videos to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment frames, or classify scenes to improve AI's ability to recognize visuals. This work is essential for applications like autonomous vehicles, facial recognition, and action recognition in AI systems.

Is video annotation hard?

Video annotation as a job involves labeling objects, actions, or scenes within videos, which requires attention to detail and familiarity with annotation tools. The difficulty depends on the complexity of the videos and the accuracy required, but it generally involves repetitive tasks that can be learned with practice.

Does data annotation really pay you?

Video annotation jobs typically pay hourly or per task rates, with earnings varying based on experience, complexity of the work, and platform. Many annotators earn between minimum wage and a few dollars per hour, but consistent, higher-paying opportunities often require specialized skills or certifications in data labeling tools.

What does a video annotator do?

A video annotator is responsible for labeling and tagging objects, actions, and other relevant features within video footage to help train machine learning models. They use specialized tools to ensure accurate and consistent annotations, often working with large datasets and following specific guidelines. This role requires attention to detail and knowledge of annotation software or platforms.

How to do video annotation?

Video annotation involves labeling objects, actions, or features within video frames using annotation tools or software. The process typically includes selecting relevant frames, drawing bounding boxes or masks, and assigning labels, often requiring attention to detail and knowledge of annotation guidelines. Skills in video editing, familiarity with annotation platforms, and understanding of the specific task are essential for accurate results.

What are the typical daily responsibilities of a Video Annotation specialist?

As a Video Annotation specialist, your daily tasks will generally involve watching video footage, identifying relevant objects or actions, and accurately labeling or tagging frames according to specific project guidelines. You may also review and validate annotations to ensure quality and consistency, collaborate with team members or project managers to clarify labeling instructions, and document any ambiguities or challenges encountered during annotation. Most roles are structured with clear targets or quotas for completed work, and you may work independently or as part of a larger team supporting AI development projects. The position requires strong concentration and the ability to handle repetitive tasks efficiently while maintaining high standards of accuracy.

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

To excel in Video Annotation, you need strong attention to detail, visual analysis skills, and familiarity with video processing concepts, often supported by a diploma or coursework in computer science or a related field. Knowledge of annotation tools such as CVAT, Labelbox, or VGG Image Annotator, and, in some cases, experience with basic scripting or data management platforms, is highly valued. Excellent focus, time management, and the ability to follow precise instructions help individuals stand out in this position. These abilities are crucial for ensuring the accuracy and quality of annotated video data, which directly impacts AI and machine learning model performance.

What are the most commonly searched types of Video Annotation jobs in California? The most popular types of Video Annotation jobs in California are:
What are popular job titles related to Video Annotation jobs in California? For Video Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Video Annotation jobs in California look for? The top searched job categories for Video Annotation jobs in California are:
What cities in California are hiring for Video Annotation jobs? Cities in California with the most Video Annotation job openings:
Video Annotation jobs near you
Infographic showing various Video Annotation job openings in California as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 60% In-person, 14% Hybrid, and 26% Remote job distribution.

Data Annotation Specialist - Computer Vision & Video Labeling

Wealth Recruitment, LLC

San Francisco, CA

$20 - $40/hr

Contractor

Posted 15 days ago

Job description

Are you highly detail-oriented with the ability to stay focused through complex visual tasks? We're seeking a Data Annotation Specialist to support cutting-edge computer vision and autonomous systems development by labeling and reviewing large-scale image and video datasets. In this role, your work will directly improve the quality of machine learning models used in advanced perception systems.

This is an excellent opportunity for candidates with experience in computer vision annotation, robotics, aviation, maritime operations, drone systems, military intelligence analysis, or sensor-based technologies who enjoy analytical, high-focus work in a fast-paced technical environment.

As a Data Annotation Specialist, you will:
  • Perform high-volume image and video labeling using internal proprietary annotation tools
  • Review visual datasets across multiple sensor and data types
  • Identify, document, and flag model failure cases to support machine learning improvements
  • Maintain strong labeling accuracy while meeting throughput and productivity targets
  • Track progress across large datasets and ensure consistent performance
  • Follow established annotation guidelines and escalate unclear or edge-case scenarios when needed
  • Work closely with technical teams to support rapid model development cycles

Requirements

Ideal Background

We're especially interested in candidates with backgrounds in:

  • Maritime operations
  • Drone/UAS operations
  • Aviation or aircraft systems
  • Military intelligence, ISR, or sensor analysis
  • Robotics or autonomous systems
  • Computer vision or video annotation environments
Required Qualifications
  • Must be a U.S. Citizen (required for CUI eligibility)
  • Experience with computer vision labeling, robotics annotation, or video/image analysis
  • Strong attention to detail and ability to maintain focus during repetitive visual review tasks
  • Comfortable working in proprietary internal software platforms
  • Ability to consistently balance speed and accuracy in a production environment
  • Strong pattern recognition and analytical skills
  • Reliable internet connection and ability to work independently

Benefits

Schedule
  • 20-30 hours per week initially while current project backlog is addressed
  • Hours may adjust based on project needs and performance

Pay Rate = $20 - $40 per hour

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