Head of Generative Media Evaluation

Instagram LLC; Los Angeles (CA); On-site; USD 193,000 - 269,000; Full time

Benefits offered by this job

Equity

Job summary

Instagram LLC is seeking a Lead, Product Content Engineering to own the evaluation rubrics for image and video generation. You will define quality dimensions, run human eval rounds, and set launch quality bars for generative media features, guiding go/no-go decisions.

You will calibrate rater pools, align with research and modeling teams, and help translate eval findings into training, data and post-training priorities.

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.
• Bachelor's degree in a related field, or equivalent practical experience

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

Evaluation rubrics

Inter-rater reliability

AI/ML collaboration

Mentoring others

Quantitative insights

Model evaluation

Education

Bachelor's degree in related field

Tools

Annotation platforms

Eval tooling

Data pipelines

Job description

Instagram LLC is seeking a Lead, Product Content Engineering to own the evaluation rubrics for image and video generation. You will define quality dimensions, run human eval rounds, and set launch quality bars for generative media features, guiding go/no-go decisions.

You will calibrate rater pools, align with research and modeling teams, and help translate eval findings into training, data and post-training priorities.