Remote AI Data Trainer — Computer Engineering

Alignerr Corp.; United States; Remote; AUD 83,000 - 124,000; Part time

Job summary

Alignerr Corp. is seeking computer engineering experts to train and improve AI models, focusing on hardware design, computer architecture, embedded systems and low-level software.

This is a fully remote, flexible contract role with an hourly commitment of 10–40 hours per week, offering a hands-on opportunity to shape AI reasoning and data evaluation.

You will work asynchronously on assignments and have the flexibility to set your own schedule while contributing to cutting-edge AI research.

Qualifications

• Pursuing or holding a Master's or PhD in Computer Engineering, CS (hardware focus).
• Strong foundations in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Able to communicate complex hardware concepts clearly in writing.
• High attention to detail; comfortable with bit operations and timing constraints.
• No prior AI experience required.

Responsibilities

• Design advanced computer engineering scenarios across RISC-V/ARM, FPGA, memory management, and embedded systems.
• Author ground-truth solutions with assembly, HDL (Verilog/VHDL), and architectural diagrams.
• Audit AI outputs: review C/C++, Verilog, VHDL code and OS kernel implementations for accuracy.
• Refine AI reasoning by documenting failure modes and providing actionable feedback.
• Work asynchronously and complete assignments on your own schedule.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Technical Writing

Education

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

Tools

MATLAB

SolidWorks

ANSYS

FPGA toolchains

RTOS

Verilog/VHDL

Job description

Alignerr Corp. is seeking computer engineering experts to train and improve AI models, focusing on hardware design, computer architecture, embedded systems and low-level software.

This is a fully remote, flexible contract role with an hourly commitment of 10–40 hours per week, offering a hands-on opportunity to shape AI reasoning and data evaluation.

You will work asynchronously on assignments and have the flexibility to set your own schedule while contributing to cutting-edge AI research.