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 — and we need expert computer engineers to make it happen. As an AI Data Trainer, you'll stress-test advanced language models on deep technical topics, expose their weaknesses, and help shape how the next generation of AI reasons about hardware and systems.

This is a rare opportunity to apply your engineering expertise in a high-impact, fully remote, and flexible freelance role.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Complex Engineering Challenges —
  • Craft advanced problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more
  • Author Ground-Truth Solutions —
  • Produce rigorous, step-by-step technical solutions including assembly code, HDL snippets (Verilog/VHDH), and architectural diagrams that serve as reference-quality "golden responses" for AI training
  • Audit AI-Generated Technical Content —
  • Evaluate AI outputs —
  • C/C++ code, logic gate designs, OS kernels — for correctness, efficiency, and alignment with industry standards
  • Refine AI Reasoning —
  • Identify flaws in AI logic such as race conditions, memory leaks, or improper timing constraints, and deliver structured feedback to improve model performance

Who You Are

• Academically Qualified —
  • Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field
  • Domain Expert —
  • Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems
  • A Clear Communicator —
  • Able to explain complex hardware concepts and low-level software logic in precise, well-structured written form
  • Detail-Oriented —
  • High precision when working with bit-level operations, clock-cycle timing, and technical documentation
  • No prior AI experience required — your engineering expertise is what matters

Nice to Have

• Experience with data annotation, data quality evaluation, or AI evaluation workflows
• Familiarity with engineering software tools such as MATLAB, SolidWorks, or ANSYS
• Background in hardware security, networking, distributed systems, or IoT

Why Join Us

• Work directly with cutting-edge AI models being developed by top research labs
• Fully remote and asynchronous — work on your own schedule
• Freelance autonomy with meaningful, intellectually stimulating work
• Be part of a global team of domain experts shaping the future of AI
• Potential for ongoing work and contract extension