Lead, Generative Media Evaluation & Quality

Meta Careers; Menlo Park (CA); On-site; USD 193,000 - 269,000; Full time

Job summary

Meta Careers is seeking a Content Engineer to lead media generation evaluations for image and video models. You will own the human evaluation layer, design rubrics, run eval rounds, and translate judgments into reproducible signals that guide model launches.

With 10+ years in video production and media evaluation, you will calibrate raters, defend launch quality bars, and collaborate with research, product, and analytics to scale human judgment toward automated metrics.

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.

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 teamsmonitor 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

AI/ML collaboration

Education

Bachelor's degree in a related field

Tools

Evaluation rubrics design

Prompt engineering for media generation

Job description

Meta Careers is seeking a Content Engineer to lead media generation evaluations for image and video models. You will own the human evaluation layer, design rubrics, run eval rounds, and translate judgments into reproducible signals that guide model launches.

With 10+ years in video production and media evaluation, you will calibrate raters, defend launch quality bars, and collaborate with research, product, and analytics to scale human judgment toward automated metrics.