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Provided by the employer
Verified Pay check_circle $131,000 to $190,000 per year
Hours Full-time
Location Menlo Park, California

About this job

**Summary:** Product Content Engineering is a horizontal function supporting initiatives across Instagram and Meta AI, and is seeking a content engineer to join the team. We partner closely with product, research and modeling teams to solve problems with content-driven solutions, set standards of quality, and define what “good” looks like for generative media experiences.This position is focused on model training for image and video generation capabilities. You will own the human evaluation layer that tells our models what quality means, designing the rubrics, running the eval rounds, and turning subjective creative judgment into reproducible, measurable signals that directly shape model behavior and launch decisions.This position requires hands-on video production experience and the craft vocabulary to describe media quality precisely. The work involves applying rubrics consistently across high volumes of generated clips, distinguishing prompt-following failures from model-quality failures, documenting observations clearly, and writing and refining the rater guidelines themselves. **Required Skills:** Product Content Engineer Responsibilities: 1. Build and maintain evaluation rubrics for image and video generation quality, including dimension definitions, rating scales and annotator guidelines 2. Execute human evaluation rounds on model output, side-by-sides, absolute scoring and prompt-adherence checks, and produce clear, actionable writeups 3. Construct and curate prompt sets and golden sets that stress-test specific model capabilities and failure modes 4. Calibrate with fellow raters and vendor teams 5. help drive inter-rater reliability 6. Partner with research and modeling teams so eval findings translate into training and post-training signal 7. Support the transition of human judgment into automated measurement and help validate automated scores against human ground truth 8. Track quality trends across model versions and flag regressions early 9. Deliver high-quality evaluation work on model and launch timelines in a fast-paced, dynamic environment **Minimum Qualifications:** Minimum Qualifications: 10. 6+ years of experience in video production, content strategy, editorial standards, media evaluation or relevant fields 11. Hands-on video production experience, including shooting, editing, post and/or motion work, with the craft vocabulary to describe quality failures precisely 12. Experience creating or substantially contributing to evaluation rubrics or quality guidelines for video or image content 13. Experience producing or evaluating short-form video and emerging video formats 14. Experience applying editorial judgment, plus the ability to document judgment logic into reusable frameworks that scale across teams 15. Experience leveraging quantitative insights to inform content and quality decisions 16. Experience collaborating with cross-functional teams (product, engineering, design, research, analytics) 17. Experience working independently and navigating ambiguity in fast-paced environments 18. Bachelor's degree in a directly related field, or equivalent practical experience **Preferred Qualifications:** Preferred Qualifications: 19. Experience evaluating generative media output (text-to-video, image-to-video, video-to-video, text-to-image) 20. Background in film, television, OTT, commercial or VFX production 21. Familiarity with generative media tooling and prompt engineering for media generation 22. Experience with annotation platforms or eval tooling 23. Experience with product launches in ambiguous or zero-to-one environments 24. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 25. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 26. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies **Public Compensation:** $131,000/year to $190,000/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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Posting ID: 1302302174 Posted: 2026-10-06 Job Title: Product Content Engineer