Computer Engineering

Alignerr Corp.; Wollongong City Council; Remote; AUD 69,000 - 118,000; Full time

Benefits offered by this job

Competitive pay

Flexible remote work

Contract extension potential

Job summary

Alignerr Corp. is seeking a Computer Engineering - AI Data Trainer to contribute to evaluating and advancing AI models remotely. The role involves designing complex problems, authoring ground-truth solutions, and performing technical auditing of AI-generated code and OS components.

This hourly contract offers 10–40 hours per week, with pay ranging from $35 to $60 per hour, and potential for extension.

Qualifications

• Advanced degree in Computer Engineering/CS with a hardware focus.
• Strong foundational knowledge in Computer Architecture, Embedded Systems, Digital Logic, or OS.

Responsibilities

• 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, HDL snippets, and architectural diagrams.
• Technical Auditing: evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for accuracy and standards.
• Refine Reasoning: identify logical fallacies in AI reasoning and provide structured feedback to improve model thinking.

Skills

Domain expertise

Analytical writing

Attention to detail

No AI experience required

Education

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

Tools

SolidWorks

MATLAB

ANSYS

Job description

Computer Engineering - AI Data Trainer

• Location: Remote

About The Job

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

You’ll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systems—documenting every failure mode so we can harden model reasoning.

Organization: Alignerr Position: Computer Engineering - AI Data Trainer Type: Hourly Contract Compensation: $35–$60 /hour Location: Remote Commitment: 10–40 hours/week

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.

Requirements

• 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.