AI Data Trainer - Computer Architecture & Systems (Remote)

Alignerr Corp.; Nuova Zelanda; Remoto; NZD 96.000 - 165.000; Part-time

Descrizione del lavoro

Alignerr is seeking an AI Data Trainer, a remote hourly contract role designed for experts in computer engineering. You will craft complex engineering challenges, author reference solutions with assembly and HDL, and audit AI-generated content to improve model reliability.

The role emphasizes deep hardware knowledge and precise technical communication, with flexible hours (10–40 hours per week) and a wholly remote setup supporting a global team.

Competenze

• Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or related field.
• Strong foundational knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Excellent written communication for precise technical explanations.
• Detail-oriented with precision in bit-level operations and timing.

Mansioni

• Design complex engineering challenges spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more.
• Author ground-truth solutions with step-by-step technical content including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams for AI training reference.
• Audit AI-generated technical content, evaluating C/C++ code, logic gate designs, OS kernels for correctness, efficiency, and industry standards.
• Refine AI reasoning by identifying flaws such as race conditions, memory leaks, or timing issues, and deliver structured feedback to improve model performance.

Conoscenze

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Formazione

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

Strumenti

MATLAB

SolidWorks

ANSYS

Descrizione del lavoro

Alignerr is seeking an AI Data Trainer, a remote hourly contract role designed for experts in computer engineering. You will craft complex engineering challenges, author reference solutions with assembly and HDL, and audit AI-generated content to improve model reliability.

The role emphasizes deep hardware knowledge and precise technical communication, with flexible hours (10–40 hours per week) and a wholly remote setup supporting a global team.