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Image Labeling Remote Jobs in New York (NOW HIRING)

National Debt Relief, LLC.

IT Operations Technician

Manhattan, NY · On-site +1

$26.50 - $29/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Package and ship IT equipment to remote employees. * Unbox, label, store, and update inventory ... Build workstations using company standard image and software. * Profile workstations for deployment ...

National Debt Relief, LLC.

IT Operations Technician

Manhattan, NY · On-site +1

$26.50 - $29/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Package and ship IT equipment to remote employees. * Unbox, label, store, and update inventory ... Build workstations using company standard image and software. * Profile workstations for deployment ...

All JobsImage Labeling JobsImage Labeling Remote JobsImage Labeling Remote Jobs in New York

Image Labeling Remote information

What is image labeling in a remote job?

Image labeling in a remote job involves tagging or annotating images with relevant information or categories from your home or any location outside of a traditional office. This process helps train machine learning models to recognize objects, people, or scenes within images. Remote image labelers use specialized software to identify and mark features according to project guidelines. The work is often flexible and may be paid per task or per hour, depending on the employer.

What is the difference between Image Labeling Remote vs Data Annotation Specialist?

AspectImage Labeling RemoteData Annotation Specialist
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Search & Comparison IntentOften compared for similar data labeling rolesRelated role in data preparation

Image Labeling Remote and Data Annotation Specialist roles both involve preparing data for AI systems, often working remotely with similar skills. However, Image Labeling Remote typically focuses specifically on labeling images and visual data, while Data Annotation Specialist may include a broader range of data types like text or audio. Both roles are essential in AI development and share similar work environments and skill requirements.

What are the key skills and qualifications needed to thrive as an image labeling remote worker?

To thrive as an Image Labeling Remote worker, you need strong attention to detail, basic computer literacy, and familiarity with data annotation concepts, often supported by a high school diploma or equivalent. Proficiency with image labeling platforms such as Labelbox, Supervisely, or proprietary annotation tools is typically required. Reliability, self-motivation, and the ability to follow precise instructions make someone stand out in this position. These skills ensure that labeled data is accurate and consistent, which is crucial for training high-quality machine learning models.

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

Remote image labeling professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and communicating effectively with team members across different time zones. To manage these, it's helpful to set up a dedicated, distraction-free workspace, take regular breaks to prevent fatigue, and use collaboration tools like Slack or project management platforms to stay connected with the team. Adhering closely to labeling guidelines and participating in regular quality reviews also help maintain accuracy and consistency.

What are popular job titles related to Image Labeling Remote jobs in New York?

For Image Labeling Remote jobs in New York, the most frequently searched job titles are:

What job categories do people searching Image Labeling Remote jobs in New York look for?

The top searched job categories for Image Labeling Remote jobs in New York are:

What cities in New York are hiring for Image Labeling Remote jobs?

Cities in New York with the most Image Labeling Remote job openings:

Image Labeling Remote jobs near you
Infographic showing various Image Labeling Remote job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Visual Data Analyst - Fully Remote | Upto $35/hr

Mercor

New York, NY • Remote

$35/hr

Full-time

Posted 2 days ago

New

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: Image Reasoning Generalist
Type: Contract
Compensation: $35/hour
Location: Remote

Role Responsibilities

  • Find images that may cause AI models to count incorrectly. Use original, public domain, or AI-generated images.
  • Identify elements that might confuse models, such as misleading text or similar-looking objects.
  • Test images with AI models using the prompt: "How many X are there? Return an integer."
  • Write additional prompts to provide context and label tasks effectively.
  • Work independently and asynchronously to ensure accuracy and consistency in task completion.

Qualifications

Must-Have

  • Strong written English skills for clear and understandable prompts.
  • Good attention to detail to identify potential model confusion in images.
  • Consistency and reliability in handling multiple tasks.

Preferred

  • Experience with photography, image editing, data labeling, or other detail-focused work.

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.