Computer Engineering Expert - AI Content Specialist

Computer Engineering Expert — AI Content Specialist

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