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Salary
$200k – $300k per year
Location
Remote (United States, Canada)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
Profile match
Operating as a modern AI-powered recruitment agency and talent marketplace, Raydar connects high-growth technology companies and venture-backed startups with specialized technical and commercial professionals. The platform integrates automated conversational AI screening to conduct initial structured candidate interviews before human recruiters take over to handle contextual matching, personalized interview preparation, and offer negotiations. Specializing in placements across software engineering, AI/data infrastructure, product development, and go-to-market functions, the firm helps innovative enterprises scale their distributed teams.

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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