Computer Engineering Expert - AI Content Specialist

Computer Engineering Expert — AI Content Specialist
About The Role
We're looking for computer engineering experts to help train and improve the next generation of AI models. Your deep technical knowledge will directly shape how AI understands and reasons through complex hardware design, computer architecture, and embedded systems challenges.
This is a rare opportunity to apply your engineering expertise beyond traditional roles — working with world-class AI research teams to make AI smarter, more accurate, and more technically rigorous.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Technical Challenges — Craft complex, domain-spanning problems across areas like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design that push AI models to their limits
Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams that serve as gold-standard training data
Audit AI-Generated Content — Critically evaluate AI outputs across C/C++, Verilog, VHDL, logic gate designs, and OS kernels for technical accuracy, efficiency, and alignment with industry standards
Improve AI Reasoning — Identify and document AI reasoning failures — such as race conditions, memory leaks, and improper timing constraints — and provide structured feedback to improve model behavior
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 writing
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, data quality assessment, or evaluation systems
Familiarity with engineering software tools such as MATLAB or ANSYS
Background in IoT, networking, distributed systems, or hardware security
Why Join Us
Work on cutting-edge AI projects alongside leading AI research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that shapes how AI reasons about technical problems
Potential for ongoing work and contract extension

Work arrangement
Yes