Content Engineer

Meta; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Meta is seeking a Content Engineer for Product Content Engineering to advance model training for image and video generation. You will own the human evaluation layer, design rubrics, run evaluation rounds, and convert subjective judgments into measurable signals that directly influence model behavior and launch decisions.

The role requires hands-on video production experience and the craft vocabulary to describe media quality precisely.

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.
• Experience creating or 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.

Responsibilities

• Own the human evaluation layer that defines quality for generative media.
• Design rubrics and run evaluation rounds.
• Turn subjective judgments into measurable signals that shape model behavior and launches.
• Document observations and refine rater guidelines for scale across teams.

Skills

Video production

Content strategy

Editorial standards

Media evaluation

Short-form video

Editorial judgment

Quantitative insights

Cross-functional collaboration

Ambiguity navigation

Generative media tooling

Prompt engineering for media

Annotation platforms

Education

Bachelor's degree in a directly related field

Tools

Annotation platforms

Eval tooling

Generative media tooling

Job description

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.

• 6+ years of experience in video production, content strategy, editorial standards, media evaluation or relevant fieldsHands-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
• 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