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Meta Data Labeling Jobs (NOW HIRING)

Meta

Director, Data Licensing Partnerships

Menlo Park, CA · On-site

$296K - $356K/yr

... with Meta Superintelligence Labs' largest human data labeling partners. • Lead complex commercial and technical negotiations, structuring agreements (e.g., co-development, licensing, supply ...

ClifyX

Data Architect

Atlanta, GA

$61.25 - $78.75/hr

... labelling, ETL testing, report testing and test data management. Experience in data privacy ... Data lineage & Meta data, MDM, Ingestion, Pseudonymization, Encryption etc. Experience with ...

CBRE

Level Up Installer Program by Meta

Cedar Rapids, IA · On-site

$25/hr

Launch Your Data Center Career-Train with CBRE, Power the Future with Meta Meta is growing fast and ... test, terminate, label, and document fiber optic cabling • Pull low-voltage cables through ...

CBRE

Level Up Installer Program by Meta

Cheyenne, WY · On-site

$25/hr

Launch Your Data Center Career-Train with CBRE, Power the Future with Meta Meta is growing fast and ... test, terminate, label, and document fiber optic cabling • Pull low-voltage cables through ...

CBRE

Level Up Installer Program by Meta

New Albany, OH · On-site

$25/hr

Launch Your Data Center Career-Train with CBRE, Power the Future with Meta Meta is growing fast and ... test, terminate, label, and document fiber optic cabling • Pull low-voltage cables through ...

CBRE

Level Up Installer Program by Meta

El Paso, TX · On-site

$25/hr

Launch Your Data Center Career-Train with CBRE, Power the Future with Meta Meta is growing fast and ... test, terminate, label, and document fiber optic cabling • Pull low-voltage cables through ...

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta ... Proven experience leading data labeling projects. * Experience managing full-time employees or ...

Stem Xpert

Information Architect

Waukegan, IL

... meta-data, content classification, controlled vocabularies, and content tagging Created any ... The art and science of organizing and labeling web sites, intranets, online communities, and ...

Hirevouch

Forward Deployed Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Frontier Data Labeling Service : Specialized data labeling through Aligner, leveraging subject ... Google, Meta, Amazon. You will work with human data teams or AI researchers in customer ...

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Meta Data Labeling information

What are the key skills and qualifications needed to thrive as a Meta Data Labeling Specialist, and why are they important?

To thrive as a Meta Data Labeling Specialist, you need strong attention to detail, data literacy, and familiarity with data annotation principles, often supported by a background in computer science or related fields. Proficiency with data labeling platforms, annotation tools, and sometimes basic programming or scripting is typically required. Excellent communication, consistency, and problem-solving skills help ensure accuracy and effective collaboration with data science teams. These skills are crucial for producing high-quality labeled data, which is foundational for training reliable machine learning models.

What are some common challenges faced by professionals in Meta Data Labeling roles, and how can they be addressed?

Professionals in Meta Data Labeling often encounter challenges such as handling large volumes of data, maintaining consistency in labeling, and adapting to evolving project guidelines. To address these, it’s important to follow clear labeling protocols, regularly communicate with team leads or project managers, and participate in quality assurance checks. Collaborative tools and regular feedback sessions can also help ensure accuracy and stay aligned with project objectives, making teamwork and adaptability essential skills in this environment.

What is meta data labeling?

Meta data labeling is the process of assigning descriptive tags or labels to data, such as images, text, or videos, to make it easier for machine learning models to understand and process the information. This task is crucial for training artificial intelligence systems, as labeled data helps algorithms learn to identify patterns and make accurate predictions. Meta data labeling can involve categorizing objects, annotating features, or adding contextual information, depending on the specific needs of the project. Accurate labeling ensures that AI systems perform reliably and efficiently.

What does a data labeling analyst do at Meta?

A data labeling analyst at Meta is responsible for reviewing and annotating data such as images, videos, and text to improve machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working in a collaborative environment with quality control measures.

What is the difference between Meta Data Labeling vs Data Annotator?

AspectMeta Data LabelingData Annotator
Primary FocusLabeling metadata such as tags, categories, or attributes for data setsAnnotating raw data like images, text, or audio for training AI models
Skills & CertificationsBasic understanding of data structures, attention to detailStrong annotation skills, familiarity with annotation tools
Work EnvironmentData labeling platforms, remote or office-basedAnnotation tools, remote or office-based
Industry UsageData management, AI training, machine learningAI development, machine learning, data science

Meta Data Labeling involves assigning descriptive tags or attributes to data, helping organize and categorize datasets. Data Annotator focuses on marking or labeling raw data to train AI models. While both roles support AI and machine learning, Meta Data Labeling emphasizes metadata management, whereas Data Annotator concentrates on raw data annotation.

Infographic showing various Meta Data Labeling job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Director, Data Licensing Partnerships

Director, Data Licensing Partnerships

Meta

Menlo Park, CA

$296K/yr

Full-time

Posted 15 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 185 rated software companies

Job description

Meta is seeking a hands-on leader to build and scale the Data Licensing Partnerships function. As Director, Data Licensing Partnerships, you will lead a global team responsible for sourcing, negotiating, and managing high-impact data licensing partnerships that enable Meta’s AI and product innovation. This role is critical to Meta’s ability to accelerate AI and product innovation through world-class data partnerships.You will shape the future of Meta’s data ecosystem, drive strategic value, and lead a high-performing team at the intersection of technology, business, and external partnership. Your leadership will ensure Meta secures and leverages best-in-class data assets, directly impacting the company’s ability to deliver innovative products and maintain a competitive edge in the global technology landscape.
Director, Data Licensing Partnerships Responsibilities:
  • Define and execute the global data licensing partnership strategy, focused on accelerating Meta’s access to and use of critical data assets for AI and product development.
  • Identify, vet, and secure strategic data licensing, supply, and joint development partnerships with leading data providers, technology companies, and research organizations.
  • Oversee strategic relationships with Meta Superintelligence Labs’ largest human data labeling partners.
  • Lead complex commercial and technical negotiations, structuring agreements (e.g., co-development, licensing, supply guarantees) that ensure Meta’s data needs are met with resilience and compliance.
  • Manage a portfolio of partnerships across the data value chain, from raw data acquisition to integration with Meta’s AI and product teams.
  • Serve as the primary external representative for Meta’s Data Licensing Partnerships, building key relationships with industry leaders, academic researchers, and regulatory bodies.
  • Work closely with Meta’s AI, Product, Legal, and Engineering teams to translate partner capabilities and data assets into actionable product and research roadmaps.
  • Establish and lead a global team of Partnership Managers and Technical Liaisons, fostering a culture of technical rigor, accountability, and partnership excellence.
  • Develop clear metrics and dashboards to track the health, value, and ROI of all key data licensing partnerships.
  • Provide regular reports and updates on partnership activity, performance, risks, and opportunities to senior leadership.
  • Ensure all data licensing activities adhere to privacy, security, and compliance standards.
  • Drive continuous improvement in partnership processes, deal execution, and team performance.

Minimum Qualifications:
  • 5+ years of direct management experience leading and scaling high-performing, geographically distributed teams
  • Demonstrated technical fluency in data licensing, AI, and/or enterprise data solutions
  • Proven track record of successfully negotiating and executing multi-million-dollar data or technology deals (e.g., data supply agreements, IP licensing, R&D partnerships)
  • Experience leading cross-functional teams to orchestrate and complete complex deals, including interpreting legal documents and working with attorneys
  • Exceptional executive communication, presentation, and influencing skills with the ability to operate effectively at the highest levels both internally and externally
  • Bachelor’s degree in Engineering, Computer Science, Business, or a related technical field

Preferred Qualifications:
  • Advanced degree (MBA, MS, or PhD) in a relevant technical or business field
  • Experience with AI products, technologies, and data licensing models
  • Experience launching or scaling data-driven products or platforms
  • Extensive network within the global data, AI, and technology ecosystem
  • Experience operating within an internal startup or highly ambiguous environment
  • Familiarity with privacy, security, and regulatory requirements for data licensing

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$296,000/year to $356,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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