# Software Engineer, Human Data Interface

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Role:** Fullstack Engineering
**Salary:** $320k – $405k/yr
**Skills:** Full-Stack Development, Data Pipelines, Internal Tools, Frontend Development, Backend Development, System Design, UI/UX Design, Human Data Labelling, Human-In-The-Loop Systems, Reward Models
**Posted:** 2026-02-12

> Builds scalable data collection pipelines and interfaces for AI model improvement, collaborating with researchers and data operations. Requires strong full-stack engineering, internal tooling expertise, and adaptability in fast-paced research environment.

## Job Description

## Responsibilities:
- Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability
- Think deeply about the experience of crowdworkers and vendors, building clear, efficient interfaces for high-quality data
- Collaborate with research teams to understand evolving data needs and iterate quickly
- Partner with Human Data Operations to design interfaces that streamline end-to-end workflows
- Prioritize and juggle multiple workstreams in a fast-moving environment

## You May Be a Good Fit If You:
- Are a strong full-stack engineer with broad experience
- Excel at building internal tools and understanding user needs
- Thrive in fast-moving environments balancing speed and system health
- Are a quick study across complex technical systems

## Strong Candidates May Also Have:
- Experience with human data labelling interfaces, human-in-the-loop systems, or data collection pipelines
- Familiarity with preference data and reward models in AI training
- Experience working with researchers as internal users
- Background in user-facing applications with complex UI or annotation workflows
- Strong system design instincts for evolving requirements
- Experience influencing technical and product direction

## Logistics
**Education requirements:** At least a Bachelor's degree in a related field or equivalent experience.

**Location-based hybrid policy:** Expect to be in office at least 25% of the time.

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