Use computer architecture and hardware design expertise remotely to evaluate advanced language models for Alignerr’s AI research partners. Document model failures precisely. As an hourly contract AI Data Trainer, you will create computer engineering challenges and rigorous solutions for AI training. Your work spans embedded systems, networking, hardware security, systems software, and operating systems. No prior AI experience is required.

Key Responsibilities
Design challenges across RISC-V, ARM, FPGA, and memory management Create step-by-step solutions with assembly and HDL snippets Evaluate C/C++, Verilog, VHDL, and kernel outputs Identify race conditions, memory leaks, and timing issues Provide structured feedback improving model reasoning

Requirements:
Master’s degree pursuing or completed, or PhD Computer engineering or hardware-focused computer science background Knowledge of architecture, embedded systems, digital logic, or operating systems Transparent, concise technical writing for complex concepts Precision checking bit operations and clock-cycle timing Apply computer engineering, technical writing, and detailed auditing skills to strengthen Alignerr’s AI model training remotely. #J-18808-Ljbffr

📌 Computer Engineering AI Data Trainer (Moncton)
🏢 Alignerr
📍 Moncton