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 systems — and we need expert computer engineers to help get there. As a Computer Engineering AI Data Trainer, your deep knowledge of hardware, embedded systems, and computer architecture will directly shape how the next generation of AI models thinks and reasons about technical problems.
This is a rare opportunity to move beyond building systems and start influencing the AI that will define the future of engineering.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Challenges — Craft complex, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design that push AI models to their limits
Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as authoritative benchmarks for AI training
Audit AI Outputs — Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards
Refine AI Reasoning — Identify and document failure modes such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve model reasoning
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 expertise 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
Highly detail-oriented — comfortable working with bit-level operations, clock-cycle timing, and precision technical documentation
No prior AI experience required — your engineering expertise is what matters
Nice to Have
Experience with data annotation, data quality, or evaluation workflows
Proficiency with engineering tools such as MATLAB or ANSYS
Familiarity with IoT, networking, distributed systems, or hardware security
Why Join Us
Work on cutting-edge AI projects alongside top research labs and AI teams
Fully remote and flexible — work on your own schedule, 10 to 40 hours per week
Freelance perks: autonomy, variety, and collaboration with experts around the world
Gain direct insight into how frontier large language models are built and trained
Potential for ongoing work and contract extension

Work arrangement
Yes