We're partnering with the world's leading AI research labs to build smarter, more reliable AI systems — and we need expert computer engineers to help get there. As a Computer Engineering AI Data Trainer, you'll put your deep technical knowledge to work challenging, auditing, and refining advanced language models on the topics you know best.

Computer Engineering — AI Data Trainer

We're partnering with the world's leading AI research labs to build smarter, more reliable AI systems — and we need expert computer engineers to help get there. As a Computer Engineering AI Data Trainer, you'll put your deep technical knowledge to work challenging, auditing, and refining advanced language models on the topics you know best.

This is a rare opportunity to work at the frontier of AI development, directly influencing how next-generation models reason about hardware, systems, and low-level software.

Type: Hourly Contract

Location: Remote

Design Complex Technical Problems — Craft advanced computer engineering challenges spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design

Author Ground-Truth Solutions — Produce rigorous, step-by-step reference solutions including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams that serve as benchmarks for AI training





Audit AI-Generated Outputs — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards

Stress-Test AI Knowledge — Challenge models on computer architecture, embedded systems and IoT, networking, distributed systems, hardware security, and systems software

Pursuing or holding 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 in writing

Highly precise — comfortable working with bit-level operations, clock-cycle timing, and technical documentation

No prior AI experience required

Experience with data annotation, data quality evaluation, or AI evaluation workflows

Proficiency with engineering tools such as MATLAB, SolidWorks, or ANSYS

Work on cutting-edge AI projects with top research labs and AI teams

Fully remote and versatile — work on your own schedule

Freelance perks: autonomy, variety, and global collaboration

Potential for ongoing work and contract extension

#

📌 PhD in Computer engineering (Toronto)
🏢 Alignerr
📍 Toronto