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Remote Data Labeling Jobs in Darby, PA (NOW HIRING)

TSMG

AI/ML Data Contributor

Philadelphia, PA · 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

Philadelphia, PA · 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 ...

Antithesis Foods

Be Seen First

Senior Operations Manager - Supply Chain & Commercialization

Philadelphia, PA · Remote

$75K - $115K/yr

We've listed it as Remote so all interested candidates can find it, and we're open to remote or ... Private label hit a record 23.8% of US grocery units in the first half of 2026 (Circana), while ...

Mercor

Audio Engineer - AI Trainer

Pennsauken, NJ · On-site +1

$13 - $17/hr

Remote Duration: Up to 6 months Commitment: 20+ hours/week Role Responsibilities * Evaluate AI ... Label songs by genre, structure, instruments, vocals, and other musical characteristics. * Review ...

Wise Snacks

Account Manager - PA

Philadelphia, PA · Remote

This position is remote, but the candidate must reside in the state of PA.Duties & Responsibilities ... ProfitabilityReview sales data to ensure we are promoting the correct items with the proper price ...

All JobsData Labeling JobsRemote Data Labeling JobsRemote Data Labeling Jobs in Darby, PA

Remote Data Labeling information

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 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 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 job categories do people searching Remote Data Labeling jobs in Darby, PA look for?

The top searched job categories for Remote Data Labeling jobs in Darby, PA are:

What cities near Darby, PA are hiring for Remote Data Labeling jobs?

Cities near Darby, PA with the most Remote Data Labeling job openings:

Remote Data Labeling jobs near you
Infographic showing various Remote Data Labeling job openings in Darby, PA as of June 2026, with employment types broken down into 56% Full Time, 22% Part Time, and 22% Contract. Highlights an 100% Remote job distribution.

AI/ML Data Contributor

TSMG

Philadelphia, PA • Remote

Full-time

Re-posted just now

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.