Computer Engineering Expert - AI Content Specialist

Computer Engineering Expert — AI Content Specialist
About The Role
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need experts like you to make it happen. As a Computer Engineering AI Content Specialist, you'll bring your deep knowledge of hardware design, computer architecture, and embedded systems to challenge and improve cutting-edge large language models (LLMs).
This is a rare opportunity to directly influence how AI reasons through complex engineering problems — from RISC-V pipelines to FPGA logic synthesis to operating system internals.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week (flexible)
What You'll Do
Design Advanced Engineering Problems — Craft challenging, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more
Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as gold-standard references for AI training
Audit AI-Generated Technical Content — Evaluate AI-produced C/C++, Verilog, and VHDL code along with logic gate designs and OS kernel implementations for correctness, efficiency, and standards compliance
Sharpen AI Reasoning — Identify flawed reasoning 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
Deep foundational knowledge 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 precisely in writing
High attention to detail — comfortable working at the level of bit operations, clock cycles, and timing constraints
No prior AI or data annotation experience required
Nice to Have
Prior experience with data annotation, data quality, or AI evaluation workflows
Familiarity with engineering tools such as MATLAB, ANSYS, or hardware simulation environments
Hands-on experience with embedded platforms, FPGAs, or real-time systems
Why Join Us
Work on genuinely cutting-edge AI projects alongside top research labs
Fully remote and flexible — work on your own schedule, on your own terms
Gain rare, insider exposure to how advanced LLMs are trained and evaluated
Contribute meaningful technical depth to AI systems used by millions
Freelance autonomy with the potential for ongoing, extended engagements
Be part of a global community of subject-matter experts pushing AI forward

Work arrangement
No