Head of Generative Media Evaluation & Quality

Meta; Los Angeles (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Meta is seeking a Content Engineer to own the human evaluation layer for generative media across Instagram and Meta AI. You will design rubrics, run evaluation rounds, and translate subjective judgments into reproducible signals shaping model behavior and launch decisions.

The role combines hands-on video production expertise with leadership across product, research, and analytics teams, establishing quality standards and driving scalable evaluation programs in a fast-paced environment.

Qualifications

• 10+ years of experience in video production, content strategy, editorial standards, media evaluation or relevant fields.
• Experience authoring evaluation rubrics for video and/or image quality, including dimension design, rating scales, tie-breaking rules and annotator guidelines.
• Hands-on video production expertise, direction, shooting, editing, post and/or VFX, with the craft vocabulary to diagnose quality failures precisely.
• Experience evaluating generative media output (text-to-video, image-to-video, video-to-video, text-to-image) and diagnosing model failure modes.
• Experience partnering with AI/ML research or modeling teams, translating evaluation results into training, data or model-behavior recommendations.
• Experience running human evaluation programs at scale: rater calibration, inter-rater reliability, golden sets, quality audits.
• Experience leveraging quantitative insights to inform content and quality decisions.
• Proven ability to build influence and drive alignment across product, engineering, design, research and analytics partners.
• Experience leading and/or mentoring others.
• Background in film, television, OTT, commercial or VFX production.
• Familiarity with generative media tooling and model families, and with prompt engineering for media generation.
• Experience with annotation platforms, eval tooling and data pipelines supporting model training.
• Experience working with product teams or programs from roadmapping through delivery.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact.
• Experience adhering to and implementing responsible, ethical AI practices.
• Demonstrated ongoing AI skill development.
• Experience working independently and navigating ambiguity in fast-paced environments.

Responsibilities

• Own the evaluation rubrics for image and video generation models, define the quality dimensions, scales and decision rules, and maintain them as models and capabilities evolve.
• Design and run human eval rounds that produce training and fine‑tuning signal, including prompt set construction, golden sets and side‑by‑side model comparisons.
• Set and defend the launch quality bar for generative media features, and make clear go / no-go quality recommendations.
• Calibrate and manage rater pools and vendor teams; monitor inter-rater reliability and drive measurable improvements in agreement.
• Partner with research and modeling teams to translate eval findings into model, data and post‑training priorities.
• Scale human judgment into automated measurement (LLM-as-a‑judge, auto‑metrics) and validate automated scores against human ground truth.
• Lead through collaboration, mentoring other content engineers on eval craft and rubric design.
• Stay ahead of the generative media landscape, benchmarking against competitive and open‑source model output.
• Deliver high‑quality evaluation work on model and launch timelines in a fast‑paced, dynamic environment.

Skills

Video production

Content strategy

Editorial standards

Media evaluation

Model evaluation

Collaboration across teams

Leadership

Education

Bachelor's degree or equivalent practical experience

Tools

Annotation platforms

Eval tooling

Data pipelines

Job description

Meta is seeking a Content Engineer to own the human evaluation layer for generative media across Instagram and Meta AI. You will design rubrics, run evaluation rounds, and translate subjective judgments into reproducible signals shaping model behavior and launch decisions.

The role combines hands-on video production expertise with leadership across product, research, and analytics teams, establishing quality standards and driving scalable evaluation programs in a fast-paced environment.