Generative Video AI Data Strategy Project Manager

CANTINA RESEARCH SINGAPORE PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

12 days ago
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Benefits offered by this job

Equity
PTO & holidays
Health insurance
Global travel insurance
Stipend
Home office equipment

Job summary

Cantina Labs is seeking a Project Manager to join our Singapore research team to shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—from defining data requirements and annotation standards to building high-quality datasets, evaluating model outputs, and translating findings into actionable recommendations for model improvement.

You will collaborate with research scientists, machine learning engineers, product teams, and external data

Qualifications

  • Hands-on experience in data strategy, dataset development, annotation, or model evaluation for generative image, video, or multimodal models.
  • Experience supporting model development across continued training, supervised fine-tuning, post-training, or evaluation.
  • Strong understanding of generative media tasks, including image and video generation, multimodal generation, and instruction-based editing.
  • Experience developing labeling taxonomies, annotation guidelines, captioning standards, quality thresholds, and evaluation frameworks.

Responsibilities

  • Define quality standards for video generation across aesthetics, realism, composition, motion, temporal consistency, instruction following, subject consistency, editing preservation, and text rendering.
  • Evaluate model iterations, analyze failure patterns, and translate findings into actionable data, training, and prompting strategies.
  • Own end-to-end training data projects, including sourcing, construction, annotation, captioning, quality control, and delivery.
  • Develop labeling systems that support dataset segmentation, coverage analysis, quality filtering, training-data mixtures, and model performance attribution.
  • Design annotation and captioning standards for video generation, editing, and multi-reference tasks.
  • Create and evaluate synthetic-data workflows based on their stability, usability, quality, and training value.

Skills

Data strategy
Dataset development
Annotation
Model evaluation
Generative video models

Tools

Python
SQL

Job description

Cantina Labs is seeking a Project Manager to join our Singapore research team to shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—from defining data requirements and annotation standards to building high-quality datasets, evaluating model outputs, and translating findings into actionable recommendations for model improvement.

You will collaborate with research scientists, machine learning engineers, product teams, and external data

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