---
title: 'Member of Technical Staff, Video Data & Model Evaluation at Cantina'
canonical: 'https://feeny.ai/job/member-of-technical-staff-video-data-model-evaluation-cantina-singapore-wff6hpsbte9q'
type: 'job'
last_seen: '2026-10-31'
---

# Member of Technical Staff, Video Data & Model Evaluation at Cantina

- **Company:** Cantina
- **Location:** Singapore
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-10-31
- **Apply:** https://jobs.ashbyhq.com/cantina/152cf203-779e-46d0-9e64-60a64e5524ce

## Job description

About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is looking for a Member of Technical Staff to join our growing Singapore research team. In this role, you will 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 work closely with research scientists, machine learning engineers, product teams, and external data partners to strengthen the data–model–evaluation feedback loop.

## What You’ll Do

- 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.
- Develop automated annotation and filtering workflows using vision-language models, system prompts, and quality-scoring models.
- Build structured model evaluation processes covering test-set design, evaluation criteria, failure attribution, and reporting.
- Establish feedback loops connecting model evaluation and negative-case analysis with data strategy and model iteration.
- Train and calibrate annotation teams and external data partners, conduct quality audits, and improve delivery standards.
- Partner with research, engineering, product, and creative teams to execute data initiatives and identify future model capabilities.

## What You’ll Bring

- 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.
- Strong visual judgment and the ability to translate subjective quality expectations into measurable data and evaluation standards.
- Experience managing large-scale data-production or annotation projects and collaborating with research, engineering, creative, and external partner teams.
- Familiarity with automated captioning, synthetic-data generation, vision-language models, prompt design, Python, SQL, or other data and workflow automation tools is a plus.

Benefits We Offer:

- Competitive salary and generous company equity
- Personal time off and paid holidays
- Health insurance
- Global travel insurance: Covers you when traveling internationally
- Monthly spending stipend: $500 (~S$635)
- Equipment: All equipment needed for your home office

## About Cantina

## Company Overview
- **One-liner**: Cantina is a social AI platform that lets users create, chat with, and share AI characters that talk, perform, and interact in real-time.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Not publicly listed; key leadership includes Co-Founder Prakash Ramakrishna

## Core Business
- **Primary industry**: Social AI / Social Media / Software Development
- **Target customers**: B2C (consumers), with a creator/developer ecosystem for building AI characters
- **Mission or purpose**: "Infinite Creativity Unlocked" — bringing AI characters to life to transform how people tell stories, connect, and create.

## Products & Services
- **Cantina App**: A social media platform where users chat with friends and AI, create video messages, share with friends, and "set bots free." The flagship product is a mobile-first experience focused on real-time AI character interaction.
- **Cantina AI Models**: A suite of advanced real-time models pushing the boundaries of expression, personality, and realism for AI characters.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding — Seed Round (1 investor, amount undisclosed); 148 employees as of mid-2026
- **Notable Investors/Partners**: 1 seed investor (name not publicly disclosed); member of the Family Online Safety Institute (FOSI)
- **Growth Signals**:
  - Headcount grew 7.2% YoY (+29 people) to 148 employees
  - Monthly website traffic growth of +47.7% and yearly growth of +149.8%
  - Active job postings: 13 (yearly job posting growth of +44.4%)
  - Operates in 15 countries with 4 offices (San Francisco HQ, Sunnyvale, Brooklyn NY, and another Brooklyn location)
  - High LinkedIn follower growth (+9.9% yearly) reaching 22,462 followers

## Competitive Advantages
- **Real-time AI character technology**: Builds proprietary real-time models for expression, personality, and realism — a technical moat in the rapidly growing social AI space.
- **Creator ecosystem**: Allows users to build and release their own AI characters, creating a network effect and UGC flywheel.
- **First-mover in social AI**: One of the earliest platforms combining social networking with generative AI characters for mass consumer use.
- **Strong talent pool**: Employees recruited from top tech companies including Airtime (18), Aircore (26), Meta (4), Grammarly (4), TikTok (4), Amazon (3), and BeReal (4).

## Strategic Focus
- **Product expansion**: Actively hiring for Kotlin Multiplatform Engineer, iOS Engineer, Machine Learning Engineer (Images), and Media Software Engineer (Speech) — indicating a push toward cross-platform mobile, image generation, and speech capabilities.
- **Safety and trust**: Joined the Family Online Safety Institute (FOSI) in 2025 and invested heavily in trust & safety infrastructure, signaling a commitment to responsible AI.
- **Monetization and growth**: Hiring a Head of Product Marketing, Creator Partner Manager, and Product Managers for Video and Web — suggesting moves toward monetization, creator partnerships, and web-based experiences.
- **Research-driven**: Actively recruiting ML engineers and research talent, with 10% of workforce in Research roles.

## Why Work Here
- **Cutting-edge AI work**: Engineers work on real-time AI models for speech, images, and character interaction — at the intersection of generative AI and social media.
- **Strong technical culture**: 66 employees (15% of workforce) in Technical roles, with a tech stack including PyTorch, TensorFlow, Kubernetes, Docker, GCP, Snowflake, and modern mobile frameworks (Kotlin, Jetpack Compose, Swift).
- **Growth stage**: At 148 employees and 13 open roles, this is a growth-stage startup where new hires can have outsized impact.
- **Flexible locations**: Offices in San Francisco (HQ), Sunnyvale, and Brooklyn (two locations) — with a distributed workforce across 15 countries.
- **Creative, fun environment**: Company culture emphasizes creativity ("Minister of Bots" is a real title) and viral social experiences.
- **Notable perks**: Team has a dedicated Comedy Director and "Chief Horse Officer" — indicating a playful, unconventional culture.
- **High talent density**: Recruits from top AI and social media companies (Meta, TikTok, Grammarly, Amazon, Apple, Netflix alumni).

## Sources
1. [cantina.com](https://cantina.com/)
2. [LinkedIn - Cantina Labs](https://www.linkedin.com/company/cantinaai)
3. [Cantina Careers (Ashby)](https://jobs.ashbyhq.com/cantina)
4. [Cantina Careers Page](https://cantina.com/careers)

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- [Creative Director](https://feeny.ai/job/creative-director-cantina-los-angeles-64xs4caw4ae7) — Los Angeles, CA
- [Video Content Strategist and Editor](https://feeny.ai/job/video-content-strategist-and-editor-cantina-los-angeles-tqzb1rzkpmq1) — Los Angeles, CA
- [Managing Editor](https://feeny.ai/job/managing-editor-cantina-los-angeles-1jexsrwnpzzz) — Los Angeles, CA
- [Sr. Visual Designer](https://feeny.ai/job/sr-visual-designer-cantina-los-angeles-qq3w7vatxahd) — Los Angeles, CA
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- [Research Scientist, Real-Time Video Generation](https://feeny.ai/job/research-scientist-real-time-video-generation-cantina-europe-yyt7q3xrp8ez) — Europe
- [Financial Analyst](https://feeny.ai/job/financial-analyst-cantina-new-york-vp2nx38y3w7j) — New York, NY