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Remote Data Labelling Jobs in Princeton, NJ (NOW HIRING)

TSMG

AI/ML Data Contributor

New York, NY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

While this is a remote-first opportunity, the candidate filling this role must be a resident of ... Improve data labelling and documentation for AI usage About You * A BA/BS in Computer Science ...

New

Nestle

Artwork & Labeling Associate

Bridgewater, NJ · Remote

  • Medical

  • Retirement

... Data teams, and external partners, the Artwork & Labeling Associate drives project execution ... This will be a remote position. RESPONSIBILITIES: D2D Project Execution & Workflow Management

HumanSignal

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

... and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol ... Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ...

Clicks Talent

Influencer & Talent Agent

New York, NY · On-site +1

$1.0K - $10K/mo

Remote (Work from Anywhere) Job Type: ⏰ Full-Time Freelance Contract (Flexible Hours ... Secure and negotiate high-value deals with brands, agencies, and record labels, creating successful ...

Travere

Flex Medical Science Liaison - East

New York, NY · Remote

  • Medical

  • Life

  • Retirement

  • PTO

Delaware - Remote, Maryland - Remote, Massachusetts - Remote, New Hampshire - Remote, New Jersey ... Conduct fair-balanced, on-label scientific discussions; respond to unsolicited requests; escalate ...

New

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 ...

Gauntlet

Technical Recruiter

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

We're a Series B company with around 75 employees, operating remote-first with a home base in New ... The label equals the package equals the contents. No surprises, just predictable, reliable vaults.

Inizio Evoke

Medical Director

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

You will be a remote employee reporting to a Senior Vice President, Medical Strategy. You will ... Monitor relevant disease categories for current publications or updates to labeling * Develop ...

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All JobsData Labelling JobsRemote Data Labelling JobsRemote Data Labelling Jobs in Princeton, NJ

Remote Data Labelling information

See Princeton, NJ salary details

$48.2K

$173K

$255.3K

How much do remote data labelling jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data labelling in Princeton, NJ is $172,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,900.00 and $178,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in remote data labelling?

To thrive as a Remote Data Labelling professional, strong attention to detail, accuracy, and basic computer literacy are essential, often requiring a high school diploma or equivalent. Familiarity with data annotation platforms, labeling tools, and sometimes experience with spreadsheet or project management software are common requirements. Excellent time management, self-motivation, and the ability to follow detailed instructions help individuals excel in this largely independent role. These qualifications are vital to ensure precise, high-quality data sets that drive effective machine learning and AI model development.

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

Remote data labelling professionals often encounter challenges such as repetitive tasks, maintaining focus over extended periods, and interpreting ambiguous data accurately. To manage these challenges, it helps to take regular breaks, use productivity techniques, and seek clarification from supervisors or team leads when instructions are unclear. Many companies provide detailed guidelines and offer online support channels to help remote labelers stay engaged and ensure consistency. Being proactive in communication and attentive to updates in instructions will contribute to both job satisfaction and data quality.

What is a remote data labelling?

A Remote Data Labelling job involves annotating, categorizing, or tagging data (such as images, text, or audio) to help train machine learning models. Workers typically use specialized tools to label data based on specific guidelines provided by companies. This role is performed entirely online, making it flexible and accessible from anywhere. It is commonly used in AI development for industries like autonomous vehicles, healthcare, and e-commerce.

What job categories do people searching Remote Data Labelling jobs in Princeton, NJ look for?

The top searched job categories for Remote Data Labelling jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Remote Data Labelling jobs?

Cities near Princeton, NJ with the most Remote Data Labelling job openings:

Remote Data Labelling jobs near you
Infographic showing various Remote Data Labelling job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $172,983 per year, or $83.2 per hour.

AI/ML Data Contributor

TSMG

New York, NY • Remote

Full-time

Re-posted 19 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.