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About the Role

As a human expert and decision-maker, you will govern human review measurements and how AI/ML models make decisions across integrity and support use cases. You will set standards, guardrails, and human-in-the-loop checks, and own the expert-labelled data and adjudication that trains, evaluates, and calibrates these models.

Responsibilities

• Serve as a human expert and final decision-maker on ambiguous, high-severity, and precedent-setting cases, and adjudicate escalations involving potentially abusive content or real-world threats
• Own AI oversight and governance for integrity and support decision-making: define how AI and ML models are reviewed, audited, and held accountable, and set the human-in-the-loop and human-out-of-the-loop thresholds that govern when models can act autonomously
• Establish and steward expert-labelled ("golden") datasets used to train, evaluate, and calibrate AI/ML models, owning label quality, precision/recall, model-agreement measurement, and drift over time
• Define and enforce governance frameworks (quality standards, guardrails, and escalation paths) that ensure model decisions and data labels comply with all policy, regulatory, and legal requirements
• Analyze and audit model and operational data to identify user trends, malicious actor behavior, systematic model errors, and coverage gaps, and translate findings into recommendations that improve enforcement accuracy at scale
• Partner with Engineering, Data Science, and Product to improve labeling interfaces, oversight tooling, and the mechanisms by which human judgment feeds back into model performance
• Become a recognized expert in integrity and support issues across operations at Meta and how they affect our community
• Build cross-functional partnerships to create better, more trustworthy AI-driven solutions for our community and users

Requirements

• 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
• 4+ years of experience in an operations, technology, management consulting, or an equivalent environment
• 4+ years of experience in a role involving strategic/analytical initiatives (project management, consulting, data analysis, or technical systems) and/or customer operations
• Experience in owning quality, decision-making, or oversight processes, setting standards and exercising authoritative judgment on complex cases
• Experience communicating with a variety of audiences, including engineering, data science, and technical teams
• Demonstrable experience using sound judgment and exhibiting Demonstrable experience using sound judgment and maintaining composure when prioritizing competing demands based on impact and urgency

Skills

• Familiarity with AI governance, trust and safety, or content/integrity policy
• Knowledge of programming languages such as Python, R, or SQL
• Experience with AI/ML oversight, human-in-the-loop workflows, model evaluation, or annotation/labeling quality
• Strategic thinker with strong analytical and problem-solving skills
• 2+ years of experience working with data tools such as SQL, SAS, and data visualization (e.g., Tableau) tools
• Familiarity with Meta's family of products and their user experience

Experience Level

• 4+ years of experience

Education Level

• Bachelor's degree (B.A./B.S.)

Salary/Compensations

• $99,000/year to $144,000/year

Benefits

• bonus
• equity
• benefits

About the Company

• 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 of people 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.