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On Call Remote Data Labelling Jobs in Philadelphia, PA

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 ...

NTT DATA Services

Lead Security Engineer

Fort Washington, PA · On-site +1

$126K - $210K/yr

Req ID: 370870 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... This is a hybrid role with 3 days on-site in the office and 2 days remote. Only local candidates ...

NTT DATA Services

Lead Security Engineer

Fort Washington, PA · On-site +1

$126K - $210K/yr

Req ID: 370870 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... This is a hybrid role with 3 days on-site in the office and 2 days remote. Only local candidates ...

Savi Gurus

Deacom Guru

Philadelphia, PA · On-site +1

... support data exchange and process automation * Design and implement complex layouts and labels ... 100% remote position * Half-time engagement (flexible schedule aligned with client needs)

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All JobsOn Call Data Labelling JobsOn Call Remote Data Labelling JobsOn Call Remote Data Labelling Jobs in Philadelphia, PA

On Call Remote Data Labelling information

What is the difference between On Call Remote Data Labelling vs Remote Data Annotation?

AspectOn Call Remote Data LabellingRemote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data servicesAI, machine learning, data services
Job FocusLabeling data on call as neededAnnotating data for training models

On Call Remote Data Labelling involves labeling data on an as-needed basis, often with flexible hours, while Remote Data Annotation typically refers to more detailed annotation tasks for AI training. Both roles are remote and require similar skills, but the scope and task complexity may differ.

On Call Remote Data Labelling jobs near you
Infographic showing various On Call Remote Data Labelling job openings in Philadelphia, PA as of July 2026, with employment types broken down into 79% Full Time, 16% Part Time, and 5% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

AI/ML Data Contributor

TSMG

Philadelphia, PA • Remote

Part-time

Re-posted 5 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.