Computer Engineering — AI Data Trainer
About The Role

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.

This is a rare chance to apply your hardware, architecture, and systems expertise in a high-impact, fully remote freelance role — on your own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do
Design Advanced Challenges — Create complex, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, embedded systems, and hardware-software co-design
Build Ground-Truth Solutions — Author 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 Outputs — Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards
Sharpen 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
Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field
Solid 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 in written form
Detail-oriented — comfortable working at the level of bit operations, clock cycles, and hardware timing
No prior AI experience required

Nice to Have
Experience with data annotation, data quality, or evaluation systems
Proficiency in tools like MATLAB, ANSYS, or similar engineering software
Background in hardware security, networking, or distributed systems

Why Join Us
Work on cutting-edge AI projects alongside top AI research labs
Fully remote and adaptable — work when and as much as you want
Freelance perks: autonomy, variety, and global collaboration
Direct impact on how AI understands and reasons about computer engineering
Potential for ongoing work and contract extension

📌 Computer Engineering Adelaide (Australia)
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📍 Australia