Computer Engineering
About this role
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 working at the level of bit operations, clock-cycle timing, and technical documentation - Self-motivated and reliable working independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, data quality, or AI evaluation workflows - Proficiency with engineering tools such as MATLAB, SolidWorks, or ANSYS - Familiarity with hardware simulation or verification environments Why Join Us - Work at the frontier of AI development alongside world-class research teams - Fully remote and flexible — work on your own schedule, from anywhere - Freelance autonomy with the stability of ongoing contract potential - Directly influence how the next generation of AI understands engineering - Collaborate with a global community of technical experts
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