ZipRecruiter

Log In

2

Remote Video Annotation Jobs in Norwalk, CT (NOW HIRING)

Mercor

Video Data Reviewer - Egocentric

New York, NY · Remote

$20 - $25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

Mercor

Russian Audio Evaluator - Expert

New York, NY · On-site +1

$50/hr

Remote Commitment: 10-20 hours/week Role Responsibilities * Transcribe and optimize audio and video ... Prior experience with transcription, annotation, or research workflows in Russian. * Interest in AI ...

Mercor

Spanish Audio Evaluator - Expert

New York, NY · Remote

$50/hr

Remote Commitment: 10-20 hours/week Role Responsibilities * Transcribe and optimize audio and video ... Experience with transcription, annotation, localization, evaluation, or research workflows in ...

Mercor

Russian Audio Evaluator - Expert

New York, NY · On-site +1

$50/hr

Remote Commitment: 10-20 hours/week Role Responsibilities * Transcribe and optimize audio and video ... Experience with transcription, annotation, localization, evaluation, or research workflows in ...

All JobsVideo Annotation JobsRemote Video Annotation JobsRemote Video Annotation Jobs in Norwalk, CT

Remote Video Annotation information

See Norwalk, CT salary details

$38.1K

$75.8K

$129.5K

How much do remote video annotation jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote video annotation in Norwalk, CT is $75,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $87,800.00 per year, depending on experience, location, and employer.

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 job categories do people searching Remote Video Annotation jobs in Norwalk, CT look for?

The top searched job categories for Remote Video Annotation jobs in Norwalk, CT are:

What cities near Norwalk, CT are hiring for Remote Video Annotation jobs?

Cities near Norwalk, CT with the most Remote Video Annotation job openings:

Remote Video Annotation jobs near you

Video Annotation Specialist - Fully Remote | Upto $25/hr

Mercor

New York, NY • Remote

$25/hr

Full-time

Posted 6 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: AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks

Role Responsibilities

  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries following provided guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.

Qualifications

Must-Have

  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfort with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.

Preferred

  • Experience with video annotation, data labeling, computer vision datasets, or egocentric video.

Start Date

  • Monday morning 17th August (PST)

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

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.