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 (versatile) 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

📌 Computer Engineering Expert - AI Content Specialist (Mumbai)
🏢 Alignerr
📍 Mumbai