2

On Call Remote Data Labelling Jobs in Philadelphia, PA

Lead Security Engineer

Fort Washington, PA ยท 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 ...

Lead Security Engineer

Fort Washington, PA ยท 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 ...

Showing results 21-40

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.

Infographic showing various On Call Remote Data Labelling job openings in Philadelphia, PA as of August 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.

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Ardmore, PA โ€ข Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.