Content Engineer

Vamp; Singapore; Presencial; SGD 89.000 - 134.000; Jornada completa

Descripción de la vacante

Vamp is seeking a Content Engineer to join our Content Content Engineering team. You will own the human evaluation layer for image and video generation quality, design rubrics, run evaluation rounds, and craft writeups that translate subjective judgments into measurable signals shaping model behavior and launch decisions.

You must have hands-on video production experience and the craft vocabulary to describe media quality precisely.

Formación

• Six plus years of experience in video production, content strategy, media evaluation or related fields.
• Hands-on video production experience and ability to describe quality failures precisely.
• Experience creating or contributing to evaluation rubrics or quality guidelines for video or image content.
• Experience producing or evaluating short-form video and emerging formats.
• Ability to document judgment logic into reusable, scalable frameworks.
• 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 related field or equivalent experience.

Responsabilidades

• Build and maintain evaluation rubrics for image and video generation quality.
• Execute human evaluation rounds and produce clear, actionable writeups.
• Construct and curate prompt sets and golden sets for stress-testing model capabilities.
• Calibrate with raters and vendor teams; improve inter-rater reliability.
• Help translate evaluation findings into training and post-training signals.
• Support the transition of human judgment into automated measurement.
• Track quality trends across model versions and flag regressions early.
• Deliver high-quality evaluation work on timelines in a fast-paced environment.

Conocimientos

Video production

Editorial standards

Content evaluation

Cross-functional collaboration

Independent work

Educación

Bachelor's degree

Herramientas

Annotation platforms

Evaluation tooling

Descripción del empleo

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.

Content Engineer 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‑side, 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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual 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 benefits at Meta.