Computer Engineering

Computer Engineering — AI Data Trainer
About The Role
AI is only as good as the experts who train it. Alignerr partners with the world's leading AI research labs to build smarter, more reliable AI models — and we need computer engineers who can challenge them at the deepest level.
This is your opportunity to put your hardware design, architecture, and embedded systems knowledge to work in a way that directly shapes how next-generation AI thinks and reasons. No AI experience required — just deep domain expertise and a sharp eye for technical accuracy.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design challenging engineering problems across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design
Author ground-truth solutions including step-by-step technical write-ups, assembly code, HDL snippets, and architectural diagrams that serve as reference answers for AI training
Audit AI-generated outputs — evaluate code in C/C++, Verilog, and VHDL, as well as logic gate designs and OS kernel implementations, for correctness, efficiency, and industry standards compliance
Identify and document reasoning failures such as race conditions, memory leaks, and improper timing constraints, and provide structured feedback to improve model reasoning
Stress-test AI models on advanced topics including computer architecture, embedded systems, networking, distributed systems, hardware security, and operating systems
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 written form
Precise and detail-oriented — comfortable working at the level of bit operations, clock-cycle timing, and technical documentation
No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, quality evaluation, or AI evaluation workflows
Proficiency with engineering tools such as MATLAB, ANSYS, or hardware simulation environments
Familiarity with formal verification methods or hardware security concepts
Why Join Us
Work at the frontier of AI development alongside top research labs
Fully remote and flexible — set your own hours and work asynchronously
Freelance autonomy with meaningful, intellectually stimulating work
Collaborate with a global network of domain experts
Ongoing potential for contract extension as projects grow

Work arrangement
Yes