Computer Engineering

Computer Engineering — AI Data Trainer About the Role We're looking for computer engineering experts to help train and improve cutting-edge AI models. Working with Alignerr — a trusted partner to the world's leading AI research labs — you'll use your deep technical knowledge to challenge, audit, and refine how AI systems reason about hardware, architecture, and embedded systems. This is a unique opportunity to apply your expertise in a high-impact, fully remote freelance role that fits around your schedule. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Design Complex Engineering Challenges — Create advanced problems spanning 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 technical responses including assembly code, HDL snippets, and architectural diagrams that serve as the gold standard for AI training Audit AI-Generated Technical Content — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for correctness, 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 sharpen model performance Stress-Test Model Knowledge — Probe AI systems across computer architecture, embedded systems and IoT, networking, distributed systems, hardware security, and systems software 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 expertise 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 workin