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Remote Content Labelling Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 Jun 20, 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 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.

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:
AI Product Manager, Content Platform Operations and Publishing

AI Product Manager, Content Platform Operations and Publishing

Netflix

Los Gatos, CA • On-site, Remote

Other

Medical, Life, Retirement, PTO

Posted 10 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th of 65 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. Location: Los Gatos, CA, Los Angeles, CA, or Remote (within North America). Regular travel to Los Gatos and Los Angeles is required.

The Team The Content Platform Operations & Publishing (CPOP) team sits at the intersection of AI and machine learning, the consumer experience and the Netflix Studio. We are an integral part of making the Netflix experience feel personal and relevant by developing innovative approaches to how we promote, localize, and distribute our content. Our products impact both our members and the content creators, linguists, editors and executives who make our shows and films possible.

We are seeking a Product Manager with strong understanding of machine learning and passion for AI innovation and technology to lead strategic initiatives that will transform our internal tools and content operations. In this role, you will: Drive the integration of state-of-the-art AI and machine learning models into our content platform and publishing tools enabling hyper-personalized and contextually relevant experiences for global audiences. Collaborate with cross-functional teams to develop intelligent systems that automate and optimize the creation of high-quality promotional assets, supporting our rapidly expanding content catalog.

Identify and implement novel AI-driven solutions to complex challenges in content distribution, asset management, and language experiences, ensuring our platform remains at the cutting edge of entertainment technology. Partner with researchers, engineers, and stakeholders to translate the latest advancements in AI into scalable, user-centric products that empower both Netflix members and our creative partners. If you thrive at the intersection of AI technology and entertainment, and are excited to shape the future of content operations through innovation, we'd love to hear from you.

Responsibilities include: Build strategic roadmaps, taking product concepts from idea through validation, shipping, measurement, and iteration. You will author strategy memos and presentations to represent your team's work to senior executives. Lead the incubation and system design of new Machine Learning or AI capabilities, from idea to production in partnership with applied researchers, data scientists, and engineers, and integrating these capabilities into our suite of tools.

Discover new needs that artists, creators and content executives have, distilling their needs into product roadmaps and delivering solutions that drive real business impact. Communicate your vision and strategy broadly throughout the organization, presenting technical and complex information to non-technical audiences. Use exceptional analytical and ML/AI evaluation skills and a rigorous, hypothesis-driven approach to inform priorities, build business cases, and measure impact.

What We're Looking For While no candidate will check every box, we are looking for a senior Product Manager with a proven track record of success. 8+ years of product management experience with a proven record of prioritizing and successfully launching impactful products or platforms. Intermediate or advanced knowledge of Machine Learning techniques and evaluation best practices Ability to mobilize an entire organization toward a common goal and build strong relationships across functions and geographies.

Previous experience in leading end-to-end products that incorporate Machine Learning and AI focused solutions (i.e. agentic AI), including experience launching AI-enabled products and perfecting/customizing underlying models. Previous experience with the ML lifecycle (data collection and labeling, model evaluation, etc.)

Applied experience using data to inform priorities and evaluate impact. Excellent written and verbal communication skills. Experience building products for creative teams, internal partners, or B2B enterprise clients.

Experience with media supply chains, localization, or translation is a plus. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options.

To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $440,000.00 - $725,000.00. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits

We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.

See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.

We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.


What Netflix employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Netflix logo

About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997