Computer Engineering

Alignerr Corp.; Nova Zelândia; Remoto; NZD 96.000 - 165.000; Tempo parcial

Resumo da vaga

Alignerr is seeking an AI Data Trainer, a remote hourly contract role designed for experts in computer engineering. You will craft complex engineering challenges, author reference solutions with assembly and HDL, and audit AI-generated content to improve model reliability.

The role emphasizes deep hardware knowledge and precise technical communication, with flexible hours (10–40 hours per week) and a wholly remote setup supporting a global team.

Qualificações

• Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or related field.
• Strong foundational knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Excellent written communication for precise technical explanations.
• Detail-oriented with precision in bit-level operations and timing.

Responsabilidades

• Design complex engineering challenges spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more.
• Author ground-truth solutions with step-by-step technical content including assembly code, HDL snippets (Verilog/VHDL), and architectural diagrams for AI training reference.
• Audit AI-generated technical content, evaluating C/C++ code, logic gate designs, OS kernels for correctness, efficiency, and industry standards.
• Refine AI reasoning by identifying flaws such as race conditions, memory leaks, or timing issues, and deliver structured feedback to improve model performance.

Conhecimentos

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Formação

Master's or PhD in Computer Engineering/CS (hardware focus)

Ferramentas

MATLAB

SolidWorks

ANSYS

Descrição da vaga

About The Role

We're partnering with the world's leading AI research labs to build smarter, more reliable AI — and we need expert computer engineers to make it happen. As an AI Data Trainer, you'll stress-test advanced language models on deep technical topics, expose their weaknesses, and help shape how the next generation of AI reasons about hardware and systems.

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 — and we need expert computer engineers to make it happen. As an AI Data Trainer, you'll stress-test advanced language models on deep technical topics, expose their weaknesses, and help shape how the next generation of AI reasons about hardware and systems.

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

What You'll Do

• Design Complex Engineering Challenges — Craft advanced problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and more
• Author Ground-Truth Solutions — Produce rigorous, step-by-step technical solutions including assembly code, HDL snippets (Verilog/VHDH), and architectural diagrams that serve as reference-quality "golden responses" for AI training
• Audit AI-Generated Technical Content — Evaluate AI outputs — C/C++ code, logic gate designs, OS kernels — for correctness, efficiency, and alignment with industry standards
• Refine AI Reasoning — Identify flaws in AI logic such as race conditions, memory leaks, or improper timing constraints, and deliver structured feedback to improve model performance
  

Who You Are

• Academically Qualified — Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field
• Domain Expert — Strong foundational knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems
• A Clear Communicator — Able to explain complex hardware concepts and low-level software logic in precise, well-structured written form
• Detail-Oriented — High precision when working with bit-level operations, clock-cycle timing, and technical documentation
• No prior AI experience required — your engineering expertise is what matters
  

Nice to Have

• Experience with data annotation, data quality evaluation, or AI evaluation workflows
• Familiarity with engineering software tools such as MATLAB, SolidWorks, or ANSYS
• Background in hardware security, networking, distributed systems, or IoT
  

Why Join Us

• Work directly with cutting-edge AI models being developed by top research labs
• Fully remote and asynchronous — work on your own schedule
• Freelance autonomy with meaningful, intellectually stimulating work
• Be part of a global team of domain experts shaping the future of AI
• Potential for ongoing work and contract extension