Full-Stack SWE, Data Acquisition (Foundations)
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labonsite$295k–$536k
At a glance
Highlights
- Power data collection supporting model training operations at scale.
- Build internal tools and dashboards for managing data pipelines.
- Manage web crawling and GPTBot services for AI training data.
Ideal candidate
A collaborative full-stack builder who thrives in fast-moving environments and cares about powering AI training with reliable, intuitive data infrastructure.
Requirements
- BS/MS/PhD in Computer Science or a related field
- 4+ years of industry experience in full-stack development
- Proficiency in frontend frameworks (React, Vue) and backend (Python, Node.js, Go)
- Strong expertise in RESTful APIs, GraphQL, and SQL/NoSQL database design
- Experience building data-intensive applications handling large-scale datasets
- Familiarity with cloud platforms (AWS, GCP, Azure) and Kubernetes/Docker
- Prior experience with web crawling and large-scale data processing a plus
- Strong problem-solving skills and ability to balance tasks in fast-moving environment
- Excellent communication and collaboration skills
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets