Staff Data & Evaluation Lead, Video AI

Speedrun Talent Network; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity

Personal time off and holidays

Health insurance

Global travel insurance

Monthly stipend SGD 500

Equipment for home office

Job summary

Cantina Labs, a social AI company, is hiring a Member of Technical Staff to shape data and evaluation strategies for video generation models in our Singapore research team. You will own the full data lifecycle—from requirements to high-quality datasets, evaluating outputs, and translating findings into actionable model improvements.

Collaborating with researchers, ML engineers, product teams, and external data partners, you will strengthen the data–model–evaluation feedback loop and drive

Qualifications

• Experience in data strategy, dataset development, annotation, or model evaluation for generative models.

Responsibilities

• Define quality standards for video generation across aesthetics, realism, composition, motion, and text rendering.
• Own end-to-end training data projects: sourcing, construction, annotation, captioning, QC, delivery.
• Develop labeling systems for dataset segmentation, coverage analysis, quality filtering, and training-data mixtures.
• Design annotation and captioning standards for video generation and multi-reference tasks.
• Create and evaluate synthetic-data workflows for stability, usability, quality, and training value.
• Develop automated annotation and filtering workflows using vision-language models and quality-scoring models.
• Build structured model evaluation processes covering test-set design, evaluation criteria, failure attribution, and reporting.
• Establish feedback loops between model evaluation and data strategy for model iteration.

Skills

Data strategy

Dataset development

Annotation & labeling standards

Model evaluation

Vision-language basics

Python

SQL

Tools

Python

SQL

Job description

Cantina Labs, a social AI company, is hiring a Member of Technical Staff to shape data and evaluation strategies for video generation models in our Singapore research team. You will own the full data lifecycle—from requirements to high-quality datasets, evaluating outputs, and translating findings into actionable model improvements.

Collaborating with researchers, ML engineers, product teams, and external data partners, you will strengthen the data–model–evaluation feedback loop and drive