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Remote Content 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 ...

Aquent

Pharma - Project Manager

Conshohocken, PA · On-site +1

$40 - $45/hr

Jul 6, 2026 Aquent Studios has a great opportunity for a Content Steward to align closely with team ... Remote but travel to Merck @ Lansdale, PA as needed. Length: This assignment will be in increments ...

All JobsContent Labelling JobsRemote Content Labelling JobsRemote Content Labelling Jobs in Philadelphia, PA

Remote Content Labelling information

See Philadelphia, PA salary details

$29.8K

$117.7K

$130.2K

How much do remote content labelling jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote content labelling in Philadelphia, PA is $117,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,100.00 and $129,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced in remote content labelling roles and how can they be managed?

Remote content labellers often encounter challenges such as maintaining focus during repetitive tasks, managing ambiguous guidelines, and ensuring consistent quality across large datasets. To address these, it's helpful to establish a structured daily routine, actively participate in team discussions or feedback sessions, and utilize available resources for clarification on guidelines. Collaborating with team leads and other labellers through chat platforms also helps in resolving uncertainties efficiently and maintaining high accuracy standards.

What are the key skills and qualifications needed to thrive as a Remote Content Labeller, and why are they important?

To thrive as a Remote Content Labeller, you need strong attention to detail, analytical thinking, and familiarity with content guidelines, typically supported by a high school diploma or equivalent. Experience with content management systems, annotation tools, and sometimes specific training on labeling protocols is often required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These skills ensure accurate and consistent labeling, which is critical for training AI systems and maintaining content quality at scale.

What is remote content labelling?

Remote content labelling is the process of identifying, tagging, or classifying various types of digital content—such as images, videos, text, or audio—from a remote location, typically from home. This work is crucial for training machine learning algorithms and improving artificial intelligence systems, as labelled data helps computers understand and process information. Remote content labellers use specific guidelines and tools provided by their employer or client to ensure consistency and accuracy. The job often requires attention to detail, good communication skills, and the ability to follow instructions closely.

What is the difference between Remote Content Labelling vs Remote Data Annotation?

AspectRemote Content LabellingRemote Data Annotation
Primary FocusLabeling and categorizing content such as images, videos, and text for machine learningAdding detailed annotations to data to improve model accuracy, often including bounding boxes, segmentation, or key points
Skills RequiredAttention to detail, understanding of content types, basic data handlingTechnical skills, familiarity with annotation tools, precision in marking data
Work EnvironmentRemote, flexible hours, often part-time or freelanceRemote, similar flexible setup, often within AI or ML projects

Both roles involve working remotely to prepare data for AI models, but Content Labelling primarily involves categorizing content, while Data Annotation requires detailed technical markings. Understanding these differences helps job seekers find the right fit for their skills and career goals.

What are popular job titles related to Remote Content Labelling jobs in Philadelphia, PA? For Remote Content Labelling jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Content Labelling jobs in Philadelphia, PA look for? The top searched job categories for Remote Content Labelling jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Content Labelling jobs? Cities near Philadelphia, PA with the most Remote Content Labelling job openings:
Remote Content Labelling jobs near you
AI Content Solutions Executive (Hunter + Closer)

AI Content Solutions Executive (Hunter + Closer)

Focus Forward

Philadelphia, PA • Remote

$60K - $150K/yr

Full-time

Posted yesterday

Job description

Job Title: AI Content Solutions Executive (Hunter + Closer)

Location: Remote / Global

Type: Full-Time | Sales & Client Strategy