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Computer engineering - ai data trainer

Perth
Alignerr
Instructor
Posted: 12 February
Offer description

Overview

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

Location: Remote

What You'll Do

* Develop Complex Problems: Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
* Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams that serve as "golden responses" for AI training.
* Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
* Refine Reasoning: Identify logical fallacies in AI reasoning—such as race conditions, memory leaks, or improper timing constraints—and provide structured feedback to improve the model's thinking process.

Qualifications

* Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
* Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
* Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
* Attention to Detail: High level of precision when checking bit-level operations, clock-cycle timing, and technical documentation.
* No AI experience required

Preferred

* Prior experience with data annotation, data quality, or evaluation systems
* Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.

Why Join Us

* Competitive pay and flexible remote work.
* Collaborate with a team working on cutting-edge AI projects.
* Exposure to advanced LLMs and how they're trained.
* Freelance perks: autonomy, flexibility, and global collaboration.
* Potential for contract extension.

Application Process

* Submit your resume
* Complete a short screening
* Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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