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Remote Data Labeling Jobs in Freehold, 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 ...

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 ...

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

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

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 ...

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

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

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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Remote Data Labeling information

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

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What job categories do people searching Remote Data Labeling jobs in Freehold, NJ look for?

The top searched job categories for Remote Data Labeling jobs in Freehold, NJ are:

What cities near Freehold, NJ are hiring for Remote Data Labeling jobs?

Cities near Freehold, NJ with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you

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.