ZipRecruiter

Log In

2

Remote Content Labelling Jobs (NOW HIRING)

Eisai

Senior Manager, Global Labeling

$129K - $169K/yr

Manage direct reports. 10% * Coordinate Content of Labeling/Drug Listing SPL generation and review ... Remote Eisai Salary Transparency Language: The annual base salary range for the Senior Manager ...

Eisai, Inc.

Senior Manager, Global Labeling

$129K - $169K/yr

Manage direct reports. 10% * Coordinate Content of Labeling/Drug Listing SPL generation and review ... Remote Eisai Salary Transparency Language: The annual base salary range for the Senior Manager ...

Revolution Medicines

Director, Regulatory Affairs Labeling

$153K - $202K/yr

... remote-based with quarterly and as needed travel. * Collaborate cross-functionally to develop ... Research the content of other labels in the same therapeutic class, including competitor labeling ...

Mondo

Enforcement Operations Specialist

San Francisco, CA · Remote

$110 - $120/hr

Remote or Hybrid Start Date Is: ASAP Duration: 6 Months Contract (potential to extend) Compensation ... Label and classify content according to established safeguards and policy guidelines * Enforce ...

YO AI Labs

Graphic designer - Remote

New York, NY · Remote

Experience only using AI tools to create content does not meet this requirement. Scope of Work ... Verified, paid experience in AI human-data work , including data labeling, annotation, RLHF, AI ...

New

YO AI Labs

Creative Designer - Remote

New York, NY · Remote

Experience only using AI tools to create content does not meet this requirement. Scope of Work ... Verified, paid experience in AI human-data work , including data labeling, annotation, RLHF, AI ...

New

YO AI Labs

Video Editor Expert - Remote

New York, NY · Remote

Experience only using AI tools to create content does not meet this requirement. Scope of Work ... Verified, paid experience in AI human-data work , including data labeling, annotation, RLHF, AI ...

New

10a Labs

Junior Cyber Investigator

Washington, DC · Remote

$80K - $105K/yr

Review and label AI-generated exchanges to assess whether content provides meaningful offensive ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

YO AI Labs

Finance Expert - Remote

New York, NY · Remote

... content. No prior AI experience is required. Key Responsibilities * Review and evaluate financial ... Experience with data labeling, annotation, RLHF, or AI model evaluation is a plus. * Ability to ...

YO AI Labs

Senior Accountant Expert - Remote

New York, NY · Remote

$81K - $101K/yr

... content. No prior AI experience is required. Key Responsibilities * Review and evaluate financial ... Experience with data labeling, annotation, RLHF, or AI model evaluation is a plus. * Ability to ...

New

previous page

Showing results 41-60

All JobsRemote JobsRemote Content Labelling Jobs

Remote Content Labelling information

See salary details

$29.5K

$116.6K

$129K

How much do remote content labelling jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote content labelling in the United States is $116,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $128,000.00 per year, depending on experience, location, and employer.

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 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 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.

More about Remote Content Labelling jobs

What cities are hiring for Remote Content Labelling jobs?

Cities with the most Remote Content Labelling job openings:

What are the most commonly searched types of Content Labelling jobs?

The most popular types of Content Labelling jobs are:

What states have the most Remote Content Labelling jobs?

States with the most job openings for Remote Content Labelling jobs include:

What are popular job titles related to Remote Content Labelling jobs?

For Remote Content Labelling jobs, the most frequently searched job titles are:

Remote Content Labelling jobs near you
Infographic showing various Remote Content Labelling job openings in the United States as of September 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% Remote job distribution, with an average salary of $116,615 per year, or $56.1 per hour.

AI Data Annotation Expert - Remote

New York, NY • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

Full-time

Posted 2 days ago

New

Job description

Generalist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for Generalists with strong analytical and critical-thinking skills to support AI and data-focused projects. The role involves reviewing, evaluating, and annotating information across different topics while maintaining high accuracy and quality.

Key Responsibilities
  • Analyze, review, and annotate various types of data.
  • Evaluate and improve AI-generated content and responses.
  • Provide clear, accurate written feedback and insights.
  • Perform problem-solving tasks across multiple domains.
  • Follow project guidelines and quality standards.
  • Collaborate effectively with remote teams.
  • Meet deadlines while maintaining strong attention to detail.
Requirements
  • Strong written and verbal English communication skills.
  • Excellent critical-thinking and analytical abilities.
  • High attention to detail and accuracy.
  • Experience in data annotation or labeling is a plus.
  • Strong time management and ability to work independently.
  • Comfortable working in a remote environment.