产品内容工程师

Define content quality standards and use them to systematically evaluate how AI models are performing across our products and content experiences

Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments

Build repeatable workflows for collecting, annotating, and analyzing AI outputs so evaluations can run efficiently as models evolve

Evaluate successive model releases through structured comparison, documenting what improved, what regressed, and what to prioritize next

Design evaluation frameworks that integrate qualitative and quantitative signals to measure dimensions like user trust, content depth, and topical relevance

Develop processes to track content quality and model performance over time and flag regressions

Synthesize evaluation results into structured error patterns and concrete recommendations that engineering and product teams can act on

Work cross-functionally with engineers, data scientists, product managers, and content strategists to align AI behaviors with real-world user expectations

5+ years of experience working collaboratively with product, engineering, design, and user research teams

1+ years working with generative AI products, AI evaluation, prompt engineering, annotation, and/or content labeling and analysis

Experience designing and implementing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems

Demonstrated data analysis skills, with experience exploring data, identifying patterns, and producing actionable insights

Critical thinking, experience leading data-driven analyses to inform product or content decisions, and experience communicating to executive leadership

Proven track record of cross-functional collaboration and delivering results in environments with evolving requirements and competing priorities

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Familiarity with AI evaluation methods such as human eval, model-as-judge, A/B testing, or red-teaming

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

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You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.

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5+ years of experience working collaboratively with product, engineering, design, and user research teams.

1+ years working with generative AI products, AI evaluation, prompt engineering, annotation, and/or content labeling and analysis.