Visiting Researcher, FAIR (University Grad)

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

Not verified

Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Visiting Researcher, FAIR (University Grad) Menlo Park, CA 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. 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:

Read the full description at www.metacareers.com. FewerJobs shows a preview and links to the original posting.