Computer Engineering Expert - AI Content Specialist

About the role

We're looking for computer engineering experts to help train and improve the next generation of AI models. Your deep technical knowledge will directly shape how AI understands and reasons through complex hardware design, computer architecture, and embedded systems challenges.

What You'll Do

• Design Advanced Technical Challenges — Craft complex, domain-spanning problems across areas like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design that push AI models to their limits
• Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams that serve as gold-standard training data
• Audit AI-Generated Content — Critically evaluate AI outputs across C/C++, Verilog, VHDL, logic gate designs, and OS kernels for technical accuracy, efficiency, and alignment with industry standards
• Improve AI Reasoning — Identify and document AI reasoning failures — such as race conditions, memory leaks, and improper timing constraints — and provide structured feedback to improve model behavior

Who You Are

• Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field
• Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems
• Able to communicate complex hardware concepts and low-level software logic clearly in writing
• Precise and detail-oriented — comfortable working at the level of bit operations, clock-cycle timing, and technical documentation
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality assessment, or evaluation systems
• Familiarity with engineering software tools such as MATLAB or ANSYS
• Background in IoT, networking, distributed systems, or hardware security