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Reality Labs Product Data Operations Program Manager - AI Data and Evaluation

Fremont, CA, United States
Menlo Park, CA, United States

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Job details

Experience: 4+ years of experience in program management, operations, or technical operations within an AI, ML, research, or data-driven organization
Posting language: English
Posted: Nov 10, 2026

Original job description

Summary:

Meta is seeking a Reality Labs Product Data Operations Program Manager to drive human data annotation, AI-assisted quality, and model and data evaluation across Reality Labs, where capabilities like hand tracking, gesture recognition, and generative AI experiences depend on models trained and evaluated on high-quality human data.Our scope spans the full lifecycle of the data: designing the tasks that produce it, deploying AI and automation to scale how it is labeled and checked, and building the evaluation practices that decide whether the data and model outputs meet the bar.If you are energized by AI-driven workflows and measurement rigor, this role is for you. You will take ownership of an established set of operational tools and extend them as programs grow. You should be excited and comfortable using AI coding tools and owning the results.

Required Skills:

Reality Labs Product Data Operations Program Manager - AI Data and Evaluation Responsibilities:

Own a portfolio of annotation and evaluation programs across Meta Reality Labs' perception and generative AI experiences, running each through established workflows and shared tooling so every delivery can be traced, reproduced, and handed off
Partner with research scientists, engineers, and technical program managers to translate model and evaluation requirements into task designs, rubrics, rater guidelines, and acceptance criteria
Operate, maintain, and extend existing program tooling, including task configurations, data pipelines, queries, dashboards, and automated reports, with the help of AI coding assistants
Define how quality is measured for each program: break down what a correct answer means into verifiable checks, set the acceptance rules a delivery must pass, and decide how rater disagreement is resolved, rather than applying one-size-fits-all metrics
Design, configure, and operate AI and automation across the annotation pipeline, including pre-annotation, LLM and VLM judges, and quality triage, and measure where they meet the bar before they replace a human step
Build and maintain evaluation practices, including gold-standard datasets, model versus human comparison, human preference evaluation for generative models, and the accuracy thresholds that determine whether data and AI outputs meet the bar
Analyze operational data to identify quality and throughput trends, building the dashboards and leadership-facing reporting that drive decisions, and stating the coverage behind every quality number
Drive resolution of risks and blockers across vendor capacity, tooling, data availability, and model training schedules
Manage external annotation vendors, including rater training, throughput, quality feedback, and per-unit cost. Document the systems and decisions you own so that any program can be handed to another program manager without loss

Minimum Qualifications:

Currently has, or is in the process of obtaining a Bachelor's degree in a directly related field, or equivalent practical experience. Degree must be completed prior to joining Meta
Bachelor's degree in a directly related field, or equivalent practical experience
4+ years of experience in program management, operations, or technical operations within an AI, ML, research, or data-driven organization
Analytical experience using data to identify trends, diagnose operational issues, and influence program direction
Experience building or deploying automation or AI solutions in production workflows
Experience in communicating and influencing multiple cross-functional stakeholders and leadership
Experience solving problems and breaking down ambiguous issues into component parts to develop solutions
Familiarity with AI/ML concepts, applications, and industry trends sufficient to engage with technical teams and inform operational decisions

Preferred Qualifications:

Experience in AR/VR, wearables, or consumer electronics, or with perception data such as hand, body, or eye tracking
Experience running human data annotation programs at scale, including task design, rater guidelines, and quality measures for tasks with no gold standard
Experience using AI coding agents to build or maintain operational tooling, reports, or workflows
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience owning program budgets, cost forecasting, or per-unit cost tracking
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience designing evaluations for generative AI systems, including rubrics, human preference studies, or LLM-as-judge methods
Working familiarity with how computer vision and machine learning models are trained and evaluated, including benchmark datasets, ground truth, accuracy, and agreement measurement, and a high-level understanding of model limitations
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience in writing SQL to analyze large datasets

Public Compensation:

$99,000/year to $144,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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.

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Skills

Research
Leadership
Reporting
Program management
ML
Consumer electronics
Forecasting
Hazard assessment
Machine learning
SQL

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