Remote Computer Engineering Expert: AI Content & Evaluation

Alignerr Corp.

New Zealand

Remote

NZD 85,000 - 146,000

Part time

48 hours ago
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Benefits offered by this job

Competitive pay
Flexible remote work
Global collaboration

Job summary

Alignerr Corp. is seeking a Computer Engineering Expert - AI Content Specialist for a remote hourly contract.

You will design complex hardware engineering challenges and author gold-standard solutions for AI training, spanning RISC-V/ARM, FPGA, memory management, and HW-SW co-design. The role involves technical auditing of AI-produced code (C/C++, Verilog, VHDL) and OS kernels, plus refining model reasoning by identifying race conditions and timing issues.

Qualifications

  • Masters or PhD in Computer Engineering, CS with hardware focus, or closely related field.
  • Strong knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
  • Ability to communicate highly technical hardware concepts clearly in writing.
  • High precision in checking bit-level operations, clock-cycle timing, and technical docs.
  • No AI experience required.

Responsibilities

  • Develop advanced computer engineering challenges across RISC-V/ARM, FPGA, memory management, and HW-SW co-design.
  • Author rigorous, step-by-step technical solutions with assembly code, 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 structured feedback to improve model thinking.

Skills

Computer Architecture
Embedded Systems
Digital Logic Design
Operating Systems

Education

Masters or PhD in Computer Engineering or Computer Science with hardware focus

Tools

Verilog
VHDL

Job description

Alignerr Corp. is seeking a Computer Engineering Expert - AI Content Specialist for a remote hourly contract.

You will design complex hardware engineering challenges and author gold-standard solutions for AI training, spanning RISC-V/ARM, FPGA, memory management, and HW-SW co-design. The role involves technical auditing of AI-produced code (C/C++, Verilog, VHDL) and OS kernels, plus refining model reasoning by identifying race conditions and timing issues.

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