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 systems — and we need expert computer engineers to help get there. As a Computer Engineering AI Data Trainer, you'll put your deep technical knowledge to work challenging, auditing, and refining advanced language models on the topics you know best. This is a rare opportunity to work at the frontier of AI development, directly influencing how next-generation models reason about hardware, systems, and low-level software. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Technical Problems — Craft advanced computer engineering challenges spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design - Author Ground-Truth Solutions — Produce rigorous, step-by-step reference solutions including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams that serve as benchmarks for AI training - Audit AI-Generated Outputs — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards - Identify and Fix Reasoning Failures — Spot logical flaws like race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve model reasoning - Stress-Test AI Knowledge — Challenge models on 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 - Highly precise — comfortable working with bit-level operations, clock-cycle timing, and technical documentation - Self-motivated and able to work independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, data quality evaluation, or AI evaluation workflows - Proficiency with engineering tools such as MATLAB, SolidWorks, or ANSYS - Hands-on experience with FPGA toolchains, embedded platforms, or RTL design Why Join Us - Work on cutting-edge AI projects with top research labs and AI teams - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Gain rare, insider exposure to how advanced LLMs are built and trained - Potential for ongoing work and contract extension
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