Remote Computer Engineering AI Data Trainer work combines computer architecture expertise with rigorous evaluation of advanced language models. Set your schedule for 10–40 hours weekly as an hourly contractor.Alignerr partners with leading AI research labs to build more reliable AI systems. You will challenge, audit, and refine models using expertise in hardware, systems, and low-level software. The work covers technical problem design, reference solutions, and structured feedback.Key Responsibilities:Design challenges spanning RISC-V, ARM, FPGA, and memory managementAuthor solutions with assembly, HDL snippets, and diagramsAudit C/C++, Verilog, VHDL, logic designs, and OS kernelsIdentify race conditions, memory leaks,



and timing failuresStress-test models across architecture, networking, and securityRequirements:Master's or PhD in Computer Engineering or related disciplineExpertise in architecture, embedded systems, digital logic, or operating systemsClear written communication of hardware and low-level software conceptsPrecision with bit-level operations and clock-cycle timingAbility to work independently and asynchronouslyApply computer engineering depth to AI data training through model auditing, technical problem design, and accurate written solutions.

📌 Computer Engineering Ai Data Trainer (Winnipeg)
🏢 Alignerr
📍 Winnipeg