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Remote Content Labelling Jobs (NOW HIRING)

YO AI Labs

Video Content Reviewer - Remote

New York, NY · Remote

$137K/yr

Contractor Location: Remote Role Overview We are looking for detail-oriented Video Annotation ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

New

Innodata Inc.

AI Content - Flexible Hours

$15/hr

It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ... Labeling elements of a piece of content rather than the content as a whole. * Assigning predefined ...

Innodata Inc.

AI Content Specialist - Flexible Hours

$15/hr

It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ... Labeling elements of a piece of content rather than the content as a whole. * Assigning predefined ...

Collegeboard

Director, Content Strategy

This is a remote role. Candidates who live near CB offices have theoptionof being fully remote or ... Recommend taxonomy, labeling systems, and content patterns - backed by user evidence - that improve ...

College Board

Director, Content Strategy

This is a remote role. Candidates who live near CB offices have theoptionof being fully remote or ... Recommend taxonomy, labeling systems, and content patterns - backed by user evidence - that improve ...

College Board

Director, Content Strategy

This is a remote role. Candidates who live near CB offices have the option of being fully remote or ... Recommend taxonomy, labeling systems, and content patterns - backed by user evidence - that improve ...

Cisco

Content Designer (Remote)

Austin, TX · On-site +1

$104K - $131K/yr

Design clear, consistent UI text across flows - labels, error messages, empty states, onboarding ... Develop content-led guidelines and patterns (e.g. error messaging standards, capitalization, in ...

Cisco

Content Designer (Remote)

Portland, OR · On-site +1

$104K - $131K/yr

Design clear, consistent UI text across flows - labels, error messages, empty states, onboarding ... Develop content-led guidelines and patterns (e.g. error messaging standards, capitalization, in ...

Cisco

Content Designer (Remote)

Chicago, IL · On-site +1

$104K - $131K/yr

Design clear, consistent UI text across flows - labels, error messages, empty states, onboarding ... Develop content-led guidelines and patterns (e.g. error messaging standards, capitalization, in ...

Cisco

Content Designer (Remote)

Atlanta, GA · On-site +1

$104K - $131K/yr

Design clear, consistent UI text across flows - labels, error messages, empty states, onboarding ... Develop content-led guidelines and patterns (e.g. error messaging standards, capitalization, in ...

Cisco

Content Designer (Remote)

Durham, NC · On-site +1

$104K - $131K/yr

Design clear, consistent UI text across flows - labels, error messages, empty states, onboarding ... Develop content-led guidelines and patterns (e.g. error messaging standards, capitalization, in ...

Cisco

Content Designer (Remote)

Boulder, CO · On-site +1

$104K - $131K/yr

Design clear, consistent UI text across flows - labels, error messages, empty states, onboarding ... Develop content-led guidelines and patterns (e.g. error messaging standards, capitalization, in ...

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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 12, 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.

Content & Experience Evaluator - Media Specialist : 26-02636

Sacramento, CA • On-site, Remote

Akraya Inc.
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Akraya Inc.external

$60 - $70/hr

Temporary

Posted 10 days ago

Job description


Primary Skills: Content Analysis [advanced], Data Annotation [advanced], AI Evaluation [intermediate], Media Knowledge [advanced], Spanish Fluency [preferred]
Contract Type: W2
Duration: 6+ Months with possible extension
Location: Remote
Pay Range: $60-$65/hr. on W2
Job Summary:
This role involves assessing and improving AI-driven member experiences by evaluating content datasets. You will apply your deep understanding of visual media to rate, annotate, and review content, ensuring accuracy and consistency in AI model training. Your work will directly enhance how users discover and interact with films and series through intelligent platforms.
Key Responsibilities:
  • Rate and annotate creative content for AI model training.
  • Apply expert judgment to capture content nuances and context.
  • Validate datasets for AI and machine learning workflows.
  • Identify patterns in annotations impacting model performance.
  • Document evaluation rationale clearly and concisely.

Must-Have Skills:
  • Proven experience in media evaluation or content labeling.
  • Deep knowledge of film and series across genres and markets.
  • Strong analytical and communication skills.

Domain / Industry Experience: Candidates should possess at least 4-5 years of professional experience in the media industry, with a strong understanding of the global streaming landscape and visual entertainment.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001

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