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Remote Video Annotation Jobs in California (NOW HIRING)

YO AI Labs

Radiologist Remote

Palo Alto, CA · Remote

$15 - $80/hr

Remote Role Summary We are seeking Radiologists with strong anatomical knowledge and visual ... Annotation * MediaPipe-Style Hand Topology * Visual Reasoning * Image & Video Analysis * Attention ...

YO AI Labs

Radiologist Remote

Los Angeles, CA · Remote

$15 - $80/hr

Remote Role Summary We are seeking Radiologists with strong anatomical knowledge and visual ... Annotation * MediaPipe-Style Hand Topology * Visual Reasoning * Image & Video Analysis * Attention ...

YO AI Labs

Radiologist Remote

San Francisco, CA · Remote

$15 - $80/hr

Remote Role Summary We are seeking Radiologists with strong anatomical knowledge and visual ... Annotation * MediaPipe-Style Hand Topology * Visual Reasoning * Image & Video Analysis * Attention ...

YO AI Labs

Radiologist Remote

San Jose, CA · Remote

$15 - $80/hr

Remote Role Summary We are seeking Radiologists with strong anatomical knowledge and visual ... Annotation * MediaPipe-Style Hand Topology * Visual Reasoning * Image & Video Analysis * Attention ...

YO AI Labs

Graphic Designer Expert - Remote

Palo Alto, CA · Remote

$20 - $50/hr

... annotation project. You'll use your expertise in typography, composition, visual hierarchy, and ... Annotate editorial, poster, marketing, and short video assets using precise design terminology.

YO AI Labs

Graphic Designer Expert - Remote

San Jose, CA · Remote

$20 - $50/hr

... annotation project. You'll use your expertise in typography, composition, visual hierarchy, and ... Annotate editorial, poster, marketing, and short video assets using precise design terminology.

All JobsVideo Annotation JobsRemote Video Annotation JobsRemote Video Annotation Jobs in California

Remote Video Annotation information

What is remote video annotation?

Remote video annotation is the process of labeling or tagging objects, actions, or events in video footage while working from a location outside of a traditional office, typically from home. Annotators use specialized software tools to draw boxes, create masks, or assign labels to specific frames or sequences in videos. This annotated data is essential for training and improving computer vision models used in applications like self-driving cars, security systems, and entertainment technology. Remote video annotation jobs offer flexibility, but often require attention to detail, strong computer skills, and the ability to follow detailed guidelines.

What are the typical daily tasks and challenges faced by a remote video annotation specialist?

As a Remote Video Annotation specialist, your daily tasks typically include reviewing video footage, accurately labeling objects or actions according to specific guidelines, and ensuring data consistency for machine learning projects. One common challenge is maintaining high attention to detail over long periods, as precise annotations are crucial for training effective AI models. Additionally, you'll often collaborate with project managers or quality assurance teams to clarify requirements, discuss edge cases, and receive feedback. Flexibility and good time management are important, as workloads can vary based on project deadlines and client needs.

What are the key skills and qualifications needed to thrive as a remote video annotation specialist?

To excel as a Remote Video Annotation Specialist, you need strong attention to detail, visual accuracy, and basic computer literacy, often supported by prior experience in data labeling or related fields. Familiarity with annotation platforms (such as CVAT or Labelbox) and understanding of video formats and metadata are typically required. Effective time management, reliability, and clear communication help specialists meet deadlines and collaborate remotely. These skills ensure precise data labeling, which is crucial for training high-performing AI and machine learning models.

What is the difference between Remote Video Annotation vs Remote Data Labeling?

AspectRemote Video AnnotationRemote Data Labeling
Primary FocusAnnotating objects, actions, and events in videosLabeling data across various formats, including images, text, and videos
Work EnvironmentRemote, often collaborative with video review toolsRemote, using labeling platforms for different data types
Required SkillsAttention to detail, understanding of video contentAccuracy, familiarity with labeling tools

Remote Video Annotation specifically involves marking objects and actions within videos, while Remote Data Labeling covers a broader range of data types, including images and text. Both roles require attention to detail and remote work skills, but Video Annotation focuses on video content analysis, making it more specialized within the data labeling industry.

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 Remote Video Annotation jobs in California?

For Remote Video Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Video Annotation jobs in California look for?

The top searched job categories for Remote Video Annotation jobs in California are:

What cities in California are hiring for Remote Video Annotation jobs?

Cities in California with the most Remote Video Annotation job openings:

Remote Video Annotation jobs near you
Infographic showing various Remote Video Annotation job openings in California as of September 2026, with employment types broken down into 1% Internship, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Radiologist Remote

Palo Alto, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$15 - $80/hr

Full-time

Posted 7 days ago

Job description

Radiologist – Hand Anatomy Annotation

Role Type: Contractor
Location: Remote

Role Summary

We are seeking Radiologists with strong anatomical knowledge and visual reasoning skills to support an AI training project focused on hand and finger landmark annotation.

Scope of Work
  • Annotate hand and finger landmarks using MediaPipe-style hand topology.
  • Identify wrist, MCP, PIP, DIP, fingertips, and thumb joints.
  • Precisely place anatomical landmarks according to defined guidelines.
  • Analyze partially occluded or difficult hand positions and infer landmark locations.
  • Review images and videos across different hand poses, orientations, and perspectives.
  • Perform quality checks and correct annotation inconsistencies.
Required Skills
  • Anatomy Expertise
  • Annotation
  • MediaPipe-Style Hand Topology
  • Visual Reasoning
  • Image & Video Analysis
  • Attention to Detail
  • Quality Assurance
  • Protocol & Guideline Compliance