Product Content Engineer

Instagram LLC; Los Angeles (CA); On-site; USD 131,000 - 190,000; Full time

Job summary

Instagram LLC is seeking a Product Content Engineer to lead evaluation for image and video generation quality. You will own human evaluation rubrics, design prompts, run evaluation rounds, and translate findings into model training signals.

The role requires hands-on video production experience and the ability to document judgment into scalable guidelines for cross-functional teams. Strong collaboration with product, research, and analytics is essential.

Qualifications

• 6+ years of experience in video production, content strategy or media evaluation.
• Hands-on video production including shooting, editing, post and motion work.
• Experience creating evaluation rubrics or quality guidelines for video or image content.

Responsibilities

• Build and maintain evaluation rubrics for image and video generation quality.
• Execute human evaluation rounds and produce actionable writeups.
• Construct and curate prompt sets and golden sets to stress-test model capabilities.
• Calibrate with raters and vendor teams to drive inter-rater reliability.
• Partner with research and modeling teams to translate eval findings into signals

Skills

Video production

Content strategy

Editorial standards

Media evaluation

Quantitative insights

Cross-functional collaboration

Ambiguity navigation

Education

Bachelor's degree (or equivalent)

Job description

## Product Content EngineerProduct 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.## Responsibilities* Build and maintain evaluation rubrics for image and video generation quality, including dimension definitions, rating scales and annotator guidelines* Execute human evaluation rounds on model output, side-by-sides, absolute scoring and prompt-adherence checks, and produce clear, actionable writeups* Construct and curate prompt sets and golden sets that stress-test specific model capabilities and failure modes* Calibrate with fellow raters and vendor teams; help drive inter-rater reliability* Partner with research and modeling teams so eval findings translate into training and post-training signal* Support the transition of human judgment into automated measurement and help validate automated scores against human ground truth* Track quality trends across model versions and flag regressions early* Deliver high-quality evaluation work on model and launch timelines in a fast-paced, dynamic environment## Minimum Qualifications* 6+ years of experience in video production, content strategy, editorial standards, media evaluation or relevant fields* Hands-on video production experience, including shooting, editing, post and/or motion work, with the craft vocabulary to describe quality failures precisely* Experience creating or substantially contributing to evaluation rubrics or quality guidelines for video or image content* Experience producing or evaluating short-form video and emerging video formats* Experience applying editorial judgment, plus the ability to document judgment logic into reusable frameworks that scale across teams* Experience leveraging quantitative insights to inform content and quality decisions* Experience collaborating with cross-functional teams (product, engineering, design, research, analytics)* Experience working independently and navigating ambiguity in fast-paced environments* Bachelor's degree in a directly related field, or equivalent practical experience## Preferred Qualifications* Experience evaluating generative media output (text-to-video, image-to-video, video-to-video, text-to-image)* Background in film, television, OTT, commercial or VFX production* Familiarity with generative media tooling and prompt engineering for media generation* Experience with annotation platforms or eval tooling* Experience with product launches in ambiguous or zero-to-one environments* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies## Compensation$131,000/year to $190,000/year + bonus + equity + benefitsIndividual 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 at Meta.