Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API @ 7
AWS @ 3
Azure @ 3
Communication @ 6
Compliance
Data Pipelines
Docker @ 3
GCP @ 3
Go @ 6
GraphQL @ 7
Kubernetes @ 3
NoSQL @ 7
Node.js @ 4
Python @ 4
React @ 6
SQL @ 7
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Data Acquisition team within the Foundations organization at OpenAI is responsible for data collection supporting model training operations. The team manages web crawling and GPTBot services and collaborates with Data Processing, Architecture, and Scaling teams. This role focuses on building and optimizing interfaces and tools that power data infrastructure.
Responsibilities
- Develop and maintain full-stack applications supporting data acquisition, including internal tools and dashboards.
- Collaborate with Data Processing, Architecture, and Scaling teams to ensure seamless data ingestion and workflow management.
- Design and implement APIs for data interactions between internal services and external data sources.
- Develop intuitive web-based interfaces for managing and monitoring data pipelines.
- Optimize backend services for performance, scalability, and security in a distributed computing environment.
- Work with legal and compliance teams to ensure data acquisition processes follow privacy regulations and best practices.
- Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code methodologies.
- Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency.
Requirements
- BS, MS, or PhD in Computer Science or a related field.
- 4+ years of industry experience in full-stack development.
- Proficiency with frontend frameworks such as React, Vue, or similar technologies.
- Experience with backend technologies such as Python, Node.js, or Go.
- Strong expertise in RESTful APIs, GraphQL, and database design involving SQL and NoSQL databases.
- Experience building data-intensive applications that handle large-scale datasets.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Familiarity with container orchestration and containerization technologies including Kubernetes and Docker.
- Prior experience with web crawling and large-scale data processing is a plus.
- Strong problem-solving skills and the ability to balance multiple tasks in a fast-moving environment.
- Excellent communication and collaboration skills.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.
Benefits
- Base salary of $293,000–$385,000 per year, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for health, dependent care, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid company holidays, office closures, and paid sick or safe time as required by applicable law.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.
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