Computer Engineering

Alignerr Corp.; New Zealand; À distance; NZD 83 000 - 131 000; Temps partiel

Résumé du poste

Alignerr is seeking an AI Data Trainer to stress-test language models on deep technical topics and help shape how AI reasons about hardware and systems. This fully remote freelance role requires engineering expertise to deliver high-impact, reference-quality solutions.

You will design complex engineering challenges, author ground-truth solutions with assembly and HDL, audit AI outputs for accuracy, and provide structured feedback to improve model performance.

Qualifications

• Academically qualified with a Master’s or PhD in Computer Engineering, CS (hardware focus), or related field.
• Strong foundational knowledge in computer architecture, embedded systems, digital logic, or operating systems.
• Clear written communication of complex hardware concepts and low-level software logic.
• Detail-oriented with precision in bit-level operations and timing.
• No prior AI experience required; engineering expertise matters more.

Responsabilités

• Design complex engineering challenges spanning RISC‑V/ARM, FPGA, memory management, and more.
• Author ground-truth solutions with assembly, HDL snippets, and diagrams for AI training.
• Audit AI-generated technical content (C/C++, OS kernels, logic designs) for accuracy and standards.
• Provide structured feedback to refine AI reasoning and fix identified issues.

Connaissances

Master's/PhD in Computer Engineering

Hardware knowledge

Clear communication

Detail oriented

No AI experience required

Formation

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

Outils

MATLAB

SolidWorks

ANSYS

Description du poste

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

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.

About The Role

This is a rare opportunity to apply your engineering expertise in a high-impact, fully remote, and flexible freelance role.

• 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’re

• 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