Your deep technical knowledge will directly shape how AI understands and reasons about hardware design, computer architecture, embedded systems, and low-level software — making a real impact on the next generation of intelligent systems.

This is a fully remote, flexible contract role that fits around your schedule. No prior AI experience is needed — just strong domain expertise and a passion for technical precision.

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and AI teams.
• Fully remote and async — work on your own schedule, from anywhere.
• Freelance perks: autonomy, variety, and global collaboration.
• Gain rare, hands-on exposure to how frontier AI models are trained and evaluated.
• Potential for ongoing work and contract extension.

• Design Complex Engineering Challenges — Create advanced, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more.
• Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as reference-quality training data.
• Audit AI-Generated Code — Evaluate AI outputs in C/C++, Verilog, and VHDL for technical accuracy, efficiency, and adherence to industry standards.
• Refine AI Reasoning — Identify flaws in AI logic — such as race conditions, memory leaks, or improper timing constraints — and provide structured feedback to improve model performance.
• Challenge Model Limits — Stress-test AI reasoning across computer architecture, embedded systems, networking, distributed systems, hardware security, and operating systems.

• Holds or is pursuing a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field.
• No prior AI or data annotation experience required.

Work arrangement: Fully remote

Eligible regions: Vancouver