Remote Hardware AI Trainer & Evaluation Consultant

LinkedIn; USA; Remote; USD 138.000 - 220.000; Teilzeit

Zusammenfassung

LinkedIn is seeking an experienced Hardware Engineering Domain Expert to join as a project consultant in our AI Labor Marketplace. This part-time, contract role involves creating and evaluating terminal-based hardware engineering tasks, Docker environments, reference solutions, and hidden tests.

Candidates bring 5+ years in RTL/digital design, CAD/EDA, and hands-on coding, with strong debugging and verification skills, Git/GitHub experience, and a track record delivering reproducible,

Qualifikationen

• 5+ years of hands-on hardware engineering experience.
• Deep expertise in RTL, CAD/EDA, or verification.
• Strong coding and scripting ability.
• Ability to design tests and verifiers.
• Experience with Docker-based environments.

Aufgaben

• Design technically challenging but fair hardware engineering problems grounded in their area of specialization.
• Write precise, self-contained task specifications with objective success criteria.
• Build reproducible, containerized task environments using Docker.
• Implement complete and correct reference solutions using RTL, programming, scripting, CAD, or EDA tools.
• Develop robust hidden tests or verifiers that assess actual correctness.
• Account for edge cases, constraints, failure modes, and plausible-but-incorrect implementations.
• Anticipate ways an AI agent might satisfy superficial checks without correct solutions.

Kenntnisse

RTL/digital design

CAD

EDA

Hardware verification

Scripting

Git / GitHub

Docker

CI/CD familiarity

Tools

Docker

GitHub

Python

Jobbeschreibung

LinkedIn is seeking an experienced Hardware Engineering Domain Expert to join as a project consultant in our AI Labor Marketplace. This part-time, contract role involves creating and evaluating terminal-based hardware engineering tasks, Docker environments, reference solutions, and hidden tests.

Candidates bring 5+ years in RTL/digital design, CAD/EDA, and hands-on coding, with strong debugging and verification skills, Git/GitHub experience, and a track record delivering reproducible,