Computer Engineering Expert - AI Content Specialist
About this role
About the Role We partner with the world's leading AI research labs to build and train the next generation of AI models — and we need deep technical expertise to do it right. As a Computer Engineering Expert, your knowledge of hardware architecture, embedded systems, and low-level software will directly shape how AI reasons about some of the most complex engineering problems in the world. This is a rare opportunity to apply your academic and hands-on expertise in a flexible, remote freelance role that sits at the cutting edge of AI development. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Engineering Challenges — Craft complex, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design - Author Ground-Truth Solutions — Produce rigorous, step-by-step technical solutions including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams that serve as reference-quality responses for AI training - Audit AI-Generated Outputs — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for technical accuracy, efficiency, and adherence to industry standards - Refine AI Reasoning — Identify logical failures such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve how models think through hardware and systems problems Who You Are - Holds or is pursuing 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 and concisely in writing - Highly 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, quality evaluation, or AI training workflows - Proficiency in engineering tools such as MATLAB or ANSYS - Familiarity with IoT systems, hardware security, or distributed systems Why Join Us - Work directly on projects with top-tier AI research labs shaping the frontier of large language models - Fully remote and flexible — work the hours that suit you, from anywhere - Gain rare, firsthand exposure to how advanced AI models are built and trained - Freelance autonomy with the substance of meaningful, high-impact technical work - Potential for ongoing contract extension as projects evolve
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