Remote Electrical Engineer for AI Training

Alignerr Corp.

Sydney

Remote

AUD 83,000 - 165,000

Part time

19 hours ago
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Benefits offered by this job

Fully remote
Flexible hours
Global collaboration

Job summary

Alignerr Corp. seeks an Electrical Engineering Expert (AI Training) for a fully remote hourly contract.

You will design advanced engineering problems to rigorously test AI, author ground-truth solutions, and audit AI outputs for correctness and safety across circuit analysis, power systems, and control theory. Ideal candidates hold a Master’s or PhD in Electrical/Electronic Engineering, with deep expertise in VLSI, control systems, or signal processing, and can communicate technical concepts

Qualifications

  • Must hold a Master’s or PhD in Electrical or Electronic Engineering or related field.
  • Strong foundations in VLSI, control systems, telecommunications, power electronics or signal processing.
  • Ability to clearly communicate complex technical concepts in writing.

Responsibilities

  • Design complex engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems to test AI performance.
  • Author precise, step-by-step ground-truth solutions for model training.
  • Audit AI outputs: code, diagrams, and proofs for correctness and safety per IEEE/NEC standards.
  • Refine AI reasoning with structured feedback to improve model performance.
  • Stress-test AI knowledge across embedded systems, robotics, and simulations, documenting failure modes.

Skills

VLSI
Control systems
Telecommunications
Power electronics
Signal processing
Written communication

Education

Master's or PhD in Electrical Engineering or related field

Job description

Alignerr Corp. seeks an Electrical Engineering Expert (AI Training) for a fully remote hourly contract.

You will design advanced engineering problems to rigorously test AI, author ground-truth solutions, and audit AI outputs for correctness and safety across circuit analysis, power systems, and control theory. Ideal candidates hold a Master’s or PhD in Electrical/Electronic Engineering, with deep expertise in VLSI, control systems, or signal processing, and can communicate technical concepts

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