At Alignerr, we partner with the world's leading AI research labs — and we need people who truly understand hardware, systems, and low-level software to make these models smarter, more accurate, and more reliable.

This is a rare opportunity to apply deep technical knowledge in a flexible, remote freelance role that directly shapes how AI reasons about computer architecture, embedded systems, and hardware design.

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and AI teams.
• Fully remote and flexible — work on your own schedule, anywhere in the world.
• Freelance autonomy: choose your hours, your pace, and your workload (10–40 hrs/week).
• Gain firsthand exposure to how large language models are built and trained.
• Contribute meaningfully to AI systems that will influence the future of technical reasoning.
• Potential for ongoing work and contract extension.

• Design Complex Technical Challenges — Create advanced computer engineering problems spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
• Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as reference-quality "golden responses" for AI training.
• Audit AI-Generated Content — Evaluate AI outputs across C/C++, Verilog, VHDL, logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards.
• Identify and Fix Reasoning Errors — Spot logical flaws in AI reasoning — race conditions, memory leaks, improper timing constraints — and provide structured feedback to improve model performance.
• Stress-Test AI Capabilities — Challenge models on topics like computer architecture, embedded systems and IoT, networking and distributed systems, hardware security, and operating systems, documenting failure modes to harden model reasoning.

• Pursuing or completed a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field.
• No prior AI experience required.

Work arrangement: Fully remote

Eligible countries: United States