Computer Engineering

Computer Engineering — AI Data Trainer About The Role 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. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do 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 Identify and Fix Reasoning Failures — Spot logical flaws like race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve model reasoning Stress-Test AI Knowledge — Challenge models on computer architecture, embedded systems and IoT, networking, distributed systems, hardware security, and systems software Who You Are 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 Self-motivated and able to work independently and asynchronously No prior AI experience required Nice to Have Experience with data annotation, data quality evaluation, or AI evaluation workflows Proficiency with engineering tools such as MATLAB, SolidWorks, or ANSYS Hands-on experience with FPGA toolchains, embedded platforms, or RTL design Why Join Us Work on cutting-edge AI projects with top research labs and AI teams Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Gain rare, insider exposure to how advanced LLMs are built and trained Potential for ongoing work and contract extension

Design complex computer engineering challenges and author ground-truth solutions to train AI models. Audit AI-generated code and logic for technical accuracy while identifying and fixing reasoning failures.

Requires a Master's or PhD in Computer Engineering or Computer Science with a focus on hardware. Candidates must have strong expertise in computer architecture, embedded systems, or operating systems.

• Autonomy • Variety • Global Collaboration • Flexible Schedule

Identified from the job description. Confirm important requirements above.

• RISC-V
• ARM Architecture
• FPGA Development
• Memory Management
• Hardware-Software Co-design
• Assembly Code
• Verilog
• VHDL
• C/C++
• OS Kernels
• Digital Logic Design
• Embedded Systems
• IoT
• Distributed Systems
• Hardware Security
• Systems Software

• Engineering
• Technology
• Software
• Science & Research
• Data & Analytics

Minimum education

Master’s degree

Minimum experience

0+ years

Apply by

Sep 13, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Toronto, Ontario, Canada

Seniority

Entry level