Computer Engineering
About this role
About the Role We're partnering with the world's leading AI research labs to build smarter, more reliable AI — and we need expert computer engineers to make it happen. As an AI Data Trainer, you'll stress-test advanced language models on deep technical topics, expose their weaknesses, and help shape how the next generation of AI reasons about hardware and systems. This is a rare opportunity to apply your engineering expertise in a high-impact, fully remote, and flexible freelance role. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Engineering Challenges — Craft advanced problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more - Author Ground-Truth Solutions — Produce rigorous, step-by-step technical solutions including assembly code, HDL snippets (Verilog/VHDH), and architectural diagrams that serve as reference-quality "golden responses" for AI training - Audit AI-Generated Technical Content — Evaluate AI outputs — C/C++ code, logic gate designs, OS kernels — for correctness, efficiency, and alignment with industry standards - Refine AI Reasoning — Identify flaws in AI logic such as race conditions, memory leaks, or improper timing constraints, and deliver structured feedback to improve model performance Who You Are - Academically Qualified — Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field - Domain Expert — Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems - A Clear Communicator — Able to explain complex hardware concepts and low-level software logic in precise, well-structured written form - Detail-Oriented — High precision when working with bit-level operations, clock-cycle timing, and technical documentation - No prior AI experience required — your engineering expertise is what matters Nice to Have - Experience with data annotation, data quality evaluation, or AI evaluation workflows - Familiarity with engineering software tools such as MATLAB, SolidWorks, or ANSYS - Background in hardware security, networking, distributed systems, or IoT Why Join Us - Work directly with cutting-edge AI models being developed by top research labs - Fully remote and asynchronous — work on your own schedule - Freelance autonomy with meaningful, intellectually stimulating work - Be part of a global team of domain experts shaping the future of AI - Potential for ongoing work and contract extension
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