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Remote Video Labelling Jobs in New York (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 ...

Jobs for Lebanon

Order Picker/Filler

Jersey City, NJ · Remote

$16.75 - $19.75/hr

As a Remote Order Picker/Filler, you will play a crucial role in ensuring accurate and efficient ... Collaborate with on-site staff and provide clear instructions for packing and labeling orders.

Grail Talent

Influencer Talent Manager

Manhattan, NY · On-site +1

Fully Remote - Work from anywhere Flexible hours - Choose your own schedule ⏰ No Salary ... record labels to advertise products and music on social media through influencer promotion and ...

Grail Talent

Influencer Talent Internship

Manhattan, NY · On-site +1

$16.50 - $22/hr

Remote (US) Reporting to: Talent Manager Part-Time | Internship 3 - 12 months | Minimum 2 month ... record labels to advertise products and music on social media through influencer promotion and ...

Hook Music

Product Designer, Studio

New York, NY · Remote

By partnering directly with artists, labels, and rightsholders, Hook ensures music is discovered ... This role is remote or hybrid for candidates applying from the NY metro area. What you'll do * Own ...

Equativ

Key Account Manager, CTV Supply

New York, NY · Remote

$90K - $100K/yr

Role is 50% remote and candidate must be able to work in NYC Office. Day to Day: * Manage a ... With a focus on privacy-first programmatic video, CTV, and data-driven solutions, Equativ enables ...

All JobsVideo Labelling JobsRemote Video Labelling JobsRemote Video Labelling Jobs in New York

Remote Video Labelling information

What is remote video labelling?

Remote video labelling is the process of watching video footage and accurately annotating or tagging objects, actions, or events within the video, all while working from a remote location, usually from home. This work is essential for training machine learning and AI models, particularly in fields like autonomous vehicles, security, and content moderation. Video labellers use specialized software to mark frames and provide metadata that helps computers understand visual information. Attention to detail and consistency are crucial in this job to ensure high-quality labelled data.

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

To thrive as a Remote Video Labelling Specialist, attention to detail, basic computer proficiency, and a high school diploma or equivalent are generally required. Familiarity with annotation tools, video editing software, and data labeling platforms is typically expected, with some roles preferring experience in machine learning or data management systems. Strong time management, focus, and effective communication skills help individuals excel in independent, deadline-driven environments. These skills ensure accurate data labeling, which is crucial for training high-quality AI and machine learning models.

What are some common challenges faced by remote video labelling professionals, and how can they be managed?

Remote video labelling professionals often encounter challenges such as staying focused during repetitive tasks, ensuring accuracy when identifying subtle visual details, and managing communication with team members across different time zones. To address these, it's helpful to set up a distraction-free workspace, take regular breaks to maintain concentration, and use collaborative tools to stay connected with supervisors and peers. Additionally, following established labelling guidelines and participating in quality assurance sessions can help maintain consistency and accuracy in your work.

What is the difference between Remote Video Labelling vs Remote Image Annotation?

AspectRemote Video LabellingRemote Image Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAutonomous vehicles, surveillance, AI trainingObject detection, medical imaging, retail
Search & Comparison IntentUnderstanding differences in data labeling rolesUnderstanding differences in annotation tasks

Remote Video Labelling involves annotating video data frame-by-frame, often requiring temporal consistency, while Remote Image Annotation focuses on labeling individual images. Both roles are remote, require attention to detail, and are used in AI training across various industries. The main difference lies in the data type: videos versus images, with video labelling demanding more complex, time-sensitive annotations.

What are popular job titles related to Remote Video Labelling jobs in New York?

For Remote Video Labelling jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Video Labelling jobs in New York look for?

The top searched job categories for Remote Video Labelling jobs in New York are:

What cities in New York are hiring for Remote Video Labelling jobs?

Cities in New York with the most Remote Video Labelling job openings:

Remote Video Labelling jobs near you

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

Mercor

New York, NY • Remote

$25/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: 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.