AI Evaluation Engineer

Raydar · Remote · US only

US onlyExperience not stated$200K–300K/yrPublished 15 October 2026Looks fresh

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First recorded by Psst: 2 November 2026. Sign in with Google to continue to the employer. A free account is enough.

The 20-second read

Experience
Experience not stated
Where you can live
US only
Job type
Full-time

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Job details

Where you can work
United States
Employment type
Full-time
Advertised pay
$200K–300K/yr
Experience
Experience not stated
Employer publication date
15 October 2026
First recorded by Psst
2 November 2026
Last checked at the source
2 November 2026

About the job

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.

Requirements

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.

Benefits

Compensation and benefits

  • Base salary: USD 200,000 to 300,000 per year
  • Equity

Location and work model

  • Remote (US or Canada)
  • Full-time

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