Computer Engineering

Alignerr; Wollongong City Council; Remote; AUD 70,000 - 120,000; Full time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr invites applications for a remote, hourly Computer Engineering - AI Data Trainer. This freelance role offers 10–40 hours per week with flexible remote collaboration across time zones.

Your work includes designing advanced challenges in RISC‑V/ARM, creating golden solutions with HDL snippets and diagrams, auditing AI-generated code and kernels, and giving structured feedback to improve model reasoning.

Qualifications

• Masters or PhD in Computer Engineering, Computer Science with hardware focus, or closely related field.
• Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Analytical writing to convey highly technical hardware concepts and low-level software logic clearly and concisely.

Responsibilities

• Design advanced computer engineering challenges across domains like RISC‑V/ARM, FPGA development, memory management, and hardware‑software co‑design.
• Author ground‑truth solutions with step‑by‑step technical details, including HDL snippets and architectural diagrams.
• Perform technical auditing of AI‑generated code (C/C++, Verilog, VHDL), logic gates, and OS kernels for accuracy and standards.
• Refine AI reasoning by identifying issues like race conditions and memory leaks and provide structured feedback.

Skills

Analytical writing

Attention to detail

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Education

Master's degree

PhD

Tools

SolidWorks

MATLAB

ANSYS

Job description

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.

Computer Engineering - AI Data Trainer

• Location: Remote


• Organization: Alignerr


• Position: Computer Engineering - AI Data Trainer


• Type: Hourly Contract


• Compensation: $35–$60 /hour


• 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.