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LinkedIndavid@raydar.xyz

AI Evaluation Engineer

Software company

  • LocationUnited States
  • WorkRemote
  • TypeFull-time
  • Posted15 October 2026

The role, as published

About the company

Our client is a software company.

The role

Raydar is recruiting for this role on behalf of our client. Lead the creation of a measurement approach for an AI system that carries out technical design work. Draw on both hands-on engineering judgment and evaluation know-how, and collaborate with domain experts and other teams to convert findings into clear improvement priorities.

What you'll do

  • Establish a new assessment framework that defines quality for design work where several answers can be valid.
  • Collaborate with domain experts, external users and internal teams to see how seasoned engineers operate and where the system struggles.
  • Reproduce realistic design tasks and typical failure cases in repeatable test setups that developers can run again.
  • Create and tune automated graders alongside human review processes, and confirm that the graders agree with expert opinion.
  • Convert assessment results into a ranked list of improvements to the system's reasoning.

What we're looking for

  • About five or more years of professional experience in hardware engineering, AI, or a blend of both, with depth in one and practical familiarity with the other.
  • Substantial hands-on background assessing AI systems, including authoring test tasks, building automated graders and benchmarking them against human review.
  • Solid grasp of how autonomous, agent-style AI systems behave.
  • Grounding in a hardware engineering field, enough to tell sound design from weak design.
  • Comfort working directly with external users, specialists, partners and technical colleagues across functions.
  • Self-assurance to guide work among many stakeholders in a role with high ownership.
  • Based in the US or Canada, and able to travel to an office for one week every 6 weeks.

Bonus points

  • Prior time at a robotics or physical AI company.
  • Experience building things from zero in an early-stage startup.

Location and work model

  • Remote (US or Canada)
  • Full-time

Compensation, as the posting describes it

  • Equity

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