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MABASA / LINKEDIN

Computer Engineering

Alignerr

Location
Not specified
Work type
contract
Source publication date
Original publication date not confirmed
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Job description from the source

**Computer Engineering — AI Data Trainer** **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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