Computer Engineering

Alignerr

Australia · Contract · Not Applicable

Computer Engineering – AI Data Trainer

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 reasons about hardware design, computer architecture, embedded systems, and low-level software — making a real impact on the future of intelligent systems.

This is a fully remote, flexible contract role where your expertise becomes the benchmark for AI excellence.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Design Challenging Problems — Create advanced computer engineering scenarios spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and embedded systems
Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams that serve as the gold standard for AI training
Audit AI Outputs — Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for technical accuracy, efficiency, and adherence to industry standards
Refine AI Reasoning — Identify and document failure modes like race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve model reasoning
Work Asynchronously — Complete assignments independently on a schedule that works for you

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 and low-level software concepts clearly in writing
High attention to detail — comfortable working at the level of bit operations, clock-cycle timing, and technical specifications
No prior AI experience required

Nice to Have

Experience with data annotation, data quality, or AI evaluation workflows
Proficiency with engineering tools such as MATLAB, SolidWorks, or ANSYS
Hands-on experience with FPGA toolchains, real-time operating systems, or embedded hardware platforms

Why Join Us

Work on cutting-edge AI projects in partnership with leading AI research labs
Fully remote and flexible — work on your own schedule from anywhere
Freelance perks: autonomy, variety, and global collaboration
Get inside access to how advanced large language models are built and trained
Potential for ongoing work and contract extension

Key Skills

Ranked by relevance

ai embedded embedded systems fpga assembly matlab

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