Computer Engineering Expert - AI Content Specialist

Computer Engineering Expert — AI Content Specialist 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 models smarter, more accurate, and more reliable. You'll work directly on challenging problems in computer architecture, embedded systems, hardware design, and low-level software — stress-testing AI reasoning and shaping how these models think about complex engineering concepts. Your expertise becomes the benchmark. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design Advanced Engineering Challenges — Create rigorous, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more Author Ground-Truth Solutions — Develop precise, 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 outputs in C/C++, Verilog, and VHDL for correctness, efficiency, and adherence to industry standards Refine AI Reasoning — Identify flaws in model logic — race conditions, memory leaks, improper timing constraints — and provide structured feedback that directly improves model performance Challenge Model Limits — Push AI systems on topics like operating systems, networking, distributed systems, hardware security, and embedded IoT — documenting failure modes to harden reasoning 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 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 writing Detail-oriented — comfortable working at the level of bit operations, clock-cycle timing, and technical specification review No prior AI experience required — if you know the engineering, we'll handle the rest Nice to Have Experience with data annotation, quality evaluation, or technical review workflows Proficiency with engineering tools such as MATLAB, ANSYS, or simulation environments Familiarity with hardware description languages (Verilog, VHDL) or low-level programming (assembly, C) Why Join Us Work on genuinely cutting-edge AI projects alongside top research labs Fully remote and flexible — work the hours that suit you, from anywhere Freelance autonomy with real intellectual challenge and impact Gain rare, hands-on exposure to how advanced LLMs are built and trained Potential for ongoing work and contract extension as projects grow

Design advanced engineering challenges and author gold-standard technical solutions to train AI models. Audit AI-generated content for correctness and refine model reasoning by identifying technical flaws in hardware and software logic.

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

Identified from the job description. Confirm important requirements above.

• Computer Architecture
• Embedded Systems
• Hardware Design
• Low-level Software
• RISC-V
• ARM Architecture
• FPGA Development
• Memory Management
• Hardware-Software Co-design
• C/C++
• Verilog
• VHDL
• Assembly Language
• Operating Systems
• Digital Logic Design
• Technical Writing

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

Minimum education

Master’s degree

Minimum experience

2+ years

Apply by

Sep 3, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Montreal, Quebec, Canada

Seniority

Mid-Senior level