Remote AI Hardware & Systems Engineer (Contract)

Alignerr Corp.

Sheffield (TX)

Remote

USD 48,000 - 83,000

Full time

1 hour ago
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Benefits offered by this job

Flexible remote work
Autonomy
Global collaboration

Job summary

Alignerr is seeking a Computer Engineering Expert - AI Content Specialist for remote, hourly contract work with 10–40 hours per week. You will design complex computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and HW-SW co-design.

You will author rigorous, step-by-step technical solutions, including assembly code, HDL snippets, and architectural diagrams for AI training, and audit AI-generated code and kernels for efficiency and

Qualifications

  • Masters or PhD in a hardware-focused field or pursuing advanced degree.
  • Strong fundamentals in core hardware areas.
  • Excellent ability to explain complex hardware concepts in writing.
  • Attention to detail in low-level timing and bit-level accuracy.
  • No AI experience required.

Responsibilities

  • Develop advanced computer engineering challenges across CPU architectures, FPGA, memory management, and HW-SW co-design.
  • Author rigorous, step-by-step solutions with HDL snippets and diagrams for AI training.
  • Audit AI-generated code (C/C++, Verilog, VHDL) and OS kernels for accuracy and standards.
  • Identify logical fallacies in AI reasoning and provide actionable feedback.

Skills

Computer Architecture
Embedded Systems
Digital Logic Design
Operating Systems
Technical Writing

Education

Masters/PhD in hardware-focused field

Tools

SolidWorks
MATLAB
ANSYS

Job description

Alignerr is seeking a Computer Engineering Expert - AI Content Specialist for remote, hourly contract work with 10–40 hours per week. You will design complex computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and HW-SW co-design.

You will author rigorous, step-by-step technical solutions, including assembly code, HDL snippets, and architectural diagrams for AI training, and audit AI-generated code and kernels for efficiency and

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