Remote AI Training Engineer — Computer Architecture & Embedded Systems

Alignerr; Wollongong City Council; On-site; AUD 14,000 - 55,000; Full time

Benefits offered by this job

Fully remote

Flexible scheduling

Global collaboration

Job summary

Alignerr is seeking a Computer Engineering Expert — AI Content Specialist to help train and improve next-generation AI systems. You will design complex engineering challenges, author rigorous solutions, and audit AI outputs across architecture, embedded systems, and hardware-software co-design, shaping how AI reasons about demanding problems.

The role is remote and hourly, offering 10–40 hours per week with flexible scheduling.

Qualifications

• Holds or is pursuing a Master's or PhD in Computer Engineering, Computer Science (hardware focus).
• Strong foundations in computer architecture, embedded systems, digital logic, or operating systems.
• Able to communicate complex hardware and low-level software concepts clearly in writing.

Responsibilities

• Design Advanced Problems — Create challenging computer engineering scenarios spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
• Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as reference responses for AI training.
• Audit AI Outputs — Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards.
• Refine AI Reasoning — Identify logical errors such as race conditions, memory leaks, or improper timing constraints, and provide structured feedback to improve model reasoning.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Education

Master's or PhD in Computer Engineering/Computer Science (hardware focus)

Tools

MATLAB

ANSYS

Verilog

VHDL

Job description

Alignerr is seeking a Computer Engineering Expert — AI Content Specialist to help train and improve next-generation AI systems. You will design complex engineering challenges, author rigorous solutions, and audit AI outputs across architecture, embedded systems, and hardware-software co-design, shaping how AI reasons about demanding problems.

The role is remote and hourly, offering 10–40 hours per week with flexible scheduling.