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

Work arrangement
No