Remote Circuit Design & Code Review Engineer

AI Trainer Jobs

United States

Remote

USD 83,000 - 165,000

Part time

3 days ago
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Benefits offered by this job

Remote work
US-eligible
Contractor

Job summary

AI Trainer Jobs in the United States is seeking a Circuit Design Engineer for a remote engineering review track focused on evaluating production code, debugging traces, and developer-facing AI outputs.

Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap. Engineering model quality hinges on code compiling, tests passing, and edge-case handling.

Qualifications

  • Strong day-job engineering experience and ability to read, run, and debug unfamiliar code for circuit design tasks.
  • Ability to write concise unit tests capturing a single failure mode.
  • Familiarity with a testing framework such as pytest, Jest, or JUnit; Go test / RSpec also fine.
  • Clear written reasoning to convince a senior engineer.

Responsibilities

  • Run and reproduce candidate code outputs in a sandboxed environment for Circuit Design Engineer assignments.
  • Grade embedded systems solutions for correctness, style, and edge-case handling.
  • Write minimal failing tests that demonstrate a bug the model output missed.
  • Compare paired solutions and rank them with a written rationale tied to the rubric.
  • Tag failure modes (compile error, runtime crash, off-by-one, security issue) with severity scores.

Skills

Code review
Debugging
Unit testing
Software engineering judgment
Embedded systems
Circuit Design
Circuit Simulation
MATLAB
PCB Design
Schematic Design
Signal Integrity
SPICE

Tools

Testing frameworks

Job description

AI Trainer Jobs in the United States is seeking a Circuit Design Engineer for a remote engineering review track focused on evaluating production code, debugging traces, and developer-facing AI outputs.

Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap. Engineering model quality hinges on code compiling, tests passing, and edge-case handling.

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