As a Computer Engineering Expert, your knowledge of hardware architecture, embedded systems, and low-level software will directly shape how AI reasons about some of the most complex engineering problems in the world.

This is a rare opportunity to apply your academic and hands-on expertise in a flexible, remote freelance role that sits at the cutting edge of AI development.

Why Join Us

• Work directly on projects with top-tier AI research labs shaping the frontier of large language models.
• Fully remote and flexible — work the hours that suit you, from anywhere.
• Gain rare, firsthand exposure to how advanced AI models are built and trained.
• Freelance autonomy with the substance of meaningful, high-impact technical work.
• Potential for ongoing contract extension as projects evolve.

• Design Advanced Engineering Challenges — Craft complex, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
• Author Ground-Truth Solutions — Produce rigorous, step-by-step technical solutions including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams that serve as reference-quality responses for AI training.
• Audit AI-Generated Outputs — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for technical accuracy, efficiency, and adherence to industry standards.
• Refine AI Reasoning — Identify logical failures such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve how models think through hardware and systems problems.

• 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 countries: United States