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 management
Author solutions with assembly, HDL snippets, and diagrams
Audit C/C++, Verilog, VHDL, logic designs, and OS kernels
Identify race conditions, memory leaks, and timing failures




Stress-test models across architecture, networking, and security
Requirements: Master's or PhD in Computer Engineering or related discipline
Expertise in architecture, embedded systems, digital logic, or operating systems
Transparent written communication of hardware and low-level software concepts
Precision with bit-level operations and clock-cycle timing
Ability to work independently and asynchronously
Apply computer engineering depth to AI data training through model auditing, technical problem design, and precise written solutions.

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📌 Computer Engineering AI Data Trainer (Quebec City)
🏢 Alignerr
📍 Quebec City