Software Engineer, Human Data Interface
Anthropic · San Francisco, CA | New York City, NY · AI Research & Engineering
About this role
Anthropic is hiring a mid-level Software Engineer based in San Francisco, CA | New York City, NY. The posting calls out experience with System Design, Full Stack, Frontend Development, Backend Development. Compensation is listed at $320,000–$405,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA | New York City, NY
- Department
- AI Research & Engineering
More roles at Anthropic
Job description
from Anthropic careersAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's Human Data Interfaces team builds the systems that collect data to improve our models. This includes novel interfaces for data vendors, tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a Software Engineer, you'll own the architecture and execution of our data collection pipelines — designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams. You'll work closely with researchers, our cross-functional data operations partners, and the crowdworkers and vendors who use these tools day-to-day.
Responsibilities:
-
Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability
-
Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data
-
Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods
This is an excerpt. Read the full job description on Anthropic careers →