Remote AI Content Specialist: Computer Engineering Expert

Alignerr Corp.; Sheffield (TX); Remote; USD 48,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr Corp. seeks a Computer Engineering Expert - AI Content Specialist. You will design advanced engineering challenges and author rigorous ground-truth solutions for AI training, including assembly code, HDL, and diagrams, while auditing AI-generated code and kernels for accuracy.

You will help refine model reasoning by identifying timing issues and memory problems, contributing to high-quality AI content and evaluation systems.

Qualifications

• Advanced degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
• Domain expertise in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Analytical writing: clearly and concisely communicate highly technical hardware concepts and low-level software logic in written form.
• Attention to detail: high precision when checking bit-level operations, clock-cycle timing, and technical documentation.
• No AI experience required.

Responsibilities

• Develop complex problems across domains like RISC-V/ ARM architecture, FPGA development, memory management, and HW-SW co-design.
• Author ground-truth solutions with step-by-step technical solutions, including assembly code, HDL snippets, and diagrams.
• Technical auditing of AI-generated code (C/C++, Verilog, VHDL), logic designs, and OS kernels for accuracy and standards.
• Refine reasoning by identifying logical fallacies and timing issues and providing structured feedback.

Skills

Analytical writing

Attention to detail

Education

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

Tools

SolidWorks

MATLAB

ANSYS

Job description

Alignerr Corp. seeks a Computer Engineering Expert - AI Content Specialist. You will design advanced engineering challenges and author rigorous ground-truth solutions for AI training, including assembly code, HDL, and diagrams, while auditing AI-generated code and kernels for accuracy.

You will help refine model reasoning by identifying timing issues and memory problems, contributing to high-quality AI content and evaluation systems.