Remote Computer Engineering AI Content Specialist

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

Benefits offered by this job

Autonomy and flexibility

Global collaboration

Contract extension possibility

Job summary

Alignerr Corp. is hiring a Computer Engineering Expert - AI Content Specialist to design and evaluate hardware and software problems for AI training in a remote hourly contract.

You will craft challenging problems across RISC-V/ARM, FPGA, memory management, and HW-SW co-design, and write ground-truth solutions with HDL code and diagrams for model training—flexible 10–40 hours per week.

Qualifications

• Advanced degree in a hardware-focused field.
• Strong foundation in Computer Architecture or Embedded Systems.
• Clear, concise communication of technical hardware concepts in writing.
• High precision in bit-level operations, clock cycles, and documentation.
• No AI experience required

Responsibilities

• Develop Complex Problems: design advanced computer engineering challenges across RISC-V/ARM, FPGA, memory management, and HW-SW co-design.
• Author Ground-Truth Solutions: create rigorous step-by-step solutions with HDL snippets and architectural diagrams.
• Technical Auditing: evaluate AI-generated code (C/C++, Verilog, VHDL) and OS kernels for accuracy and standards.
• Refine Reasoning: identify logical fallacies and provide structured feedback to improve model thinking.

Skills

RISC-V/ARM architecture

FPGA development

HDL (Verilog/VHDL)

Memory management

Hardware-software co-design

Technical writing

C/C++

Analytical thinking

Low-level software

Education

Master's or PhD in related hardware-focused field

Tools

SolidWorks

MATLAB

ANSYS

Job description

Alignerr Corp. is hiring a Computer Engineering Expert - AI Content Specialist to design and evaluate hardware and software problems for AI training in a remote hourly contract.

You will craft challenging problems across RISC-V/ARM, FPGA, memory management, and HW-SW co-design, and write ground-truth solutions with HDL code and diagrams for model training—flexible 10–40 hours per week.