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