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Remote Video Annotation Jobs in California (NOW HIRING)

Los Gatos, CA, Los Angeles, CA, or Remote (within the US). Regular travel to Los Gatos and Los ... Strong portfolio of video creative demonstrating craft (composition, color, typography, etc) and ...

Los Gatos, CA, Los Angeles, CA, or Remote (within the US). Regular travel to Los Gatos and Los ... Strong portfolio of video creative demonstrating craft (composition, color, typography, etc) and ...

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, and why are they important?

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:
Infographic showing various Remote Video Annotation job openings in California as of June 2026, with employment types broken down into 42% Full Time, 29% Part Time, and 29% Contract. Highlights an 100% Remote job distribution.

Audio Transcription Specialist - Fully Remote | Upto $50/hr

Mercor

San Francisco, CA โ€ข Remote

$50/hr

Full-time

Posted 9 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: English (US) Audio Generalist Evaluator Expert
Type: Contract
Compensation: $50/hour
Location: Remote
Commitment: 10โ€“20 hours/week

Role Responsibilities

  • Transcribe and optimize audio and video content in English (US), ensuring clarity and accuracy.
  • Develop and document evaluation standards, including rubrics and grading guidelines in English.
  • Conduct model testing and grading, providing structured feedback to improve AI model performance.
  • Support benchmarking and quality assurance to maintain consistency and reliability.
  • Collaborate with project leads to resolve ambiguities and improve task design.

Qualifications

Must-Have

  • Strong writing, editing, and critical thinking skills.
  • Ability to work independently and manage time effectively.
  • Native or near-native fluency in English (US).
  • Familiarity with American English spoken language and regional vocabulary.
  • Ability to transcribe and analyze English audio content.
  • Available to commit 10โ€“20 hours per week.

Preferred

  • College students or recent graduates.
  • Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines.
  • Experience with transcription, annotation, localization, evaluation, or research workflows in English.
  • Familiarity with regional dialects and variations of American English.
  • Interest in AI, language models, or applied research environments.

Application Process (Takes 20โ€“30 mins to complete)

  • Complete a short AI-led interview (approximately 15 minutes).
  • If selected, you will be onboarded and invited to begin project work.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.