Video Data & Model Evaluation Specialist

CANTINA RESEARCH SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Time off and holidays

Health insurance

Travel insurance

Stipend

Home-office equipment

Job summary

Cantina Labs in Singapore is seeking a Member of Technical Staff to shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—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, ML engineers, product teams, and data partners to strengthen the

Qualifications

• Hands-on data strategy, dataset development, annotation, or model evaluation for generative media.
• Experience with continued training, fine-tuning, post-training, or evaluation.
• Understanding of image/video generation and multimodal tasks.
• Experience creating labeling taxonomies, guidelines, and evaluation frameworks.
• Ability to translate qualitative quality into measurable data standards.
• Experience managing large-scale data-production or annotation projects.
• Familiarity with Python/SQL or data workflow automation is a plus.

Responsibilities

• Define quality standards for video generation across aesthetics, realism, and motion.
• Evaluate model iterations and translate findings into data and prompting strategies.
• Own end-to-end training data projects: sourcing, annotation, quality control, and delivery.
• Develop labeling systems for dataset segmentation and model attribution.
• Design annotation and captioning standards for video tasks.
• Create synthetic-data workflows and assess their training value.
• Develop automated annotation and filtering workflows using vision-language models.
• Build structured model evaluation processes including test-set design and reporting.
• Establish feedback loops between model evaluation and data strategy.
• Train annotation teams and external partners, improving delivery standards.
• Collaborate with research, engineering, product, and external partners on data initiatives.

Skills

Data strategy

Dataset development

Annotation

Model evaluation

Labeling taxonomies

Large-scale data projects

Automation tools

Tools

Python

SQL

Job description

Cantina Labs in Singapore is seeking a Member of Technical Staff to shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—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, ML engineers, product teams, and data partners to strengthen the