Remote AI Hardware & Systems Specialist - Content & QA

Alignerr Corp.; New York (NY); Remote; USD 48,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Contract extension potential

Job summary

Alignerr Corp. is seeking a Computer Engineering Expert - AI Content Specialist for a remote hourly contract. You will design advanced computer engineering challenges and author ground-truth solutions to support AI model training, covering domains from RISC-V/ARM to FPGA and memory management.

You will audit AI-generated code and operating system kernels for technical accuracy, and refine model reasoning by identifying race conditions and timing issues. No AI experience is required.

Qualifications

• Advanced degree (Masters or PhD) in Computer Engineering, Computer Science with a hardware focus, or closely related field.
• Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Analytical writing ability to clearly communicate highly technical hardware concepts and low-level software logic.

Responsibilities

• Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
• Create rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams for AI training."
• Evaluate AI-generated code and OS kernels for technical accuracy, efficiency, and standards adherence.
• Identify and provide structured feedback on logical fallacies in AI reasoning to improve model thinking.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Analytical Writing

Education

Masters or PhD in Computer Engineering/CS with hardware focus

Tools

SolidWorks

MATLAB

ANSYS

Job description

Alignerr Corp. is seeking a Computer Engineering Expert - AI Content Specialist for a remote hourly contract. You will design advanced computer engineering challenges and author ground-truth solutions to support AI model training, covering domains from RISC-V/ARM to FPGA and memory management.

You will audit AI-generated code and operating system kernels for technical accuracy, and refine model reasoning by identifying race conditions and timing issues. No AI experience is required.