Computer Engineering
<strong>Computer Engineering — AI Data Trainer<br><br></strong><strong>About The Role<br><br></strong>We're looking for computer engineering experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world's leading AI research labs — and your deep technical knowledge is exactly what's needed to make these systems smarter, more accurate, and more reliable.<br><br>You'll stress-test advanced language models on complex hardware and systems topics, expose their failure modes, and help build the ground-truth solutions that shape how AI reasons about computer engineering.<br><br><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week<br><br></li></ul><strong>What You'll Do<br><br></strong><ul><li>Design Challenging Problems — Create advanced computer engineering scenarios spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, embedded systems, and more</li><li>Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as benchmarks for AI training</li><li>Audit AI Outputs — Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for technical accuracy, efficiency, and standards compliance</li><li>Improve AI Reasoning — Identify flaws in AI-generated reasoning — such as race conditions, memory leaks, or timing constraint violations — and provide structured feedback to improve model performance<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field</li><li>Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems</li><li>Able to communicate complex hardware concepts and low-level software logic clearly in writing</li><li>Highly detail-oriented — comfortable working at the level of bit operations, clock cycles, and technical documentation</li><li>No prior AI experience required<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Experience with data annotation, data quality, or AI evaluation workflows</li><li>Proficiency in engineering tools such as MATLAB, ANSYS, or similar platforms</li><li>Familiarity with IoT, networking, distributed systems, or hardware security domains<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Work on cutting-edge AI projects alongside top research labs and institutions</li><li>Fully remote and flexible — work on your own schedule, from anywhere</li><li>Freelance perks: autonomy, variety, and collaboration with experts worldwide</li><li>Gain rare, firsthand exposure to how advanced LLMs are built and trained</li><li>Potential for ongoing work and contract extension</li></ul>
