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About the Role
Build the verification and evaluation layer that allows AI agents to confidently determine when their work is complete.
Responsibilities
- Build end-to-end verification loops enabling agents to determine task completion.
- Create fast, reliable testing environments to convert failures and feedback into evaluation signals.
- Improve context, instruction, skill, and memory delivery to agents and measure performance improvements.
- Operate the agent fleet as a production system, measuring quality, adoption, and impact.
Requirements
- Experience building internal tools adopted by other engineers, with measurable impact.
- Deep experience with agentic coding tools, including opinions on their strengths and weaknesses.
- Experience building evaluation or verification infrastructure (e.g., test harnesses, CI systems, eval pipelines, benchmarks).
- Ability to work hands-on across application code, infrastructure, and unfamiliar systems.
- Empirical approach to work, attention to subtle failure modes, and comfort with ambiguous problems.
Skills
- Voice
- Model training
- Agentic coding tools
- Internal tools development
- Evaluation infrastructure
- Verification infrastructure
- Test harnesses
- CI systems
- Eval pipelines
- Benchmarks
- Application code
- Infrastructure management
Location
- Remote
Work Type
- Full-time
Experience Level
- Not specified
Education Level
- Not specified
Benefits
- H1B sponsorship
- O1 sponsorship
- EB1 sponsorship
- L1 sponsorship
- STEM OPT sponsorship
About the Company
- Wispr is an AI research and product company building the voice interface for computing.
- Our first products are Flow and Notetaker.
- We are building toward an interface that can perceive, understand, and take action with earned trust.
- We are a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy.
- Our goal is to build the first voice interface used every day by a billion people.
Equal Opportunity
- We strongly encourage you to apply even if you don't meet every qualification.
- We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience.
- We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.