Visiting Researcher, FAIR (University Grad)

Meta is seeking a highly specialized, research-driven expert to define the future of our Computer Use Agent (CUA) data creation. Moving fast to train the next generation of AI and product experiences requires foundational data that is precise, statistically sound, and unbiased.In this role, you won't just analyze data, you will architect the scientific frameworks, task-creation methodologies, and quality standards that govern it. You will sit upstream of production, conducting primary and empirical research to establish the definitive "gold standard" protocols that engineering and product teams rely on. If you are passionate about data governance as a research discipline and want to impact the experience of billions of people, join us.

Visiting Researcher, FAIR (University Grad) Responsibilities:

• Establish Foundational Standards: Lead primary and secondary research to design, build, and implement rigorous, scalable CUA data quality standards and validation frameworks with Meta Superintelligence Labs.
• Develop Task Methodologies: Architect scientifically sound task creation methodologies and annotation guidelines to ensure downstream datasets are highly accurate, reproducible, and representative.
• Mitigate Data Risk: Conduct deep dive data integrity research to identify systemic biases or quality gaps, proactively mitigating "garbage in, garbage out" risks for AI model training.
• Cross Functional Leadership: Partner closely with data science, software engineering, and operational teams to translate complex research methodologies into clear, executable data pipelines.
• Define Metrics & Baselines: Establish statistical baselines and key quality metrics to evaluate, audit, and continuously improve CUA data health across the product lifecycle.

Minimum Qualifications:

• Demonstrated experience conducting empirical research, data curation & validation, or designing complex data collection/annotation methodologies
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

• Experience designing and scaling data quality frameworks or human-in-the-loop (HITL) annotation methodologies specifically for training Machine Learning, NLP, LLM foundation models
• Familiarity with user behavior log data, or defining complex interaction taxonomies
• Experience solving complex problems and evaluating alternative solutions, tradeoffs, and perspectives to determine a path forward
• Experience translating complex, abstract research methodologies into clear, executable operational pipelines for cross-functional engineering and product partners

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.

$58.65/hour to $143,000/year + 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.