Computer Engineering Expert - AI Content Specialist

Alignerr Corp.; Wellington; Remote; NZD 86,000 - 147,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr Corp. is seeking a Computer Engineering Expert - AI Content Specialist for a remote, hourly contract (10–40 hrs/week) to design advanced hardware challenges and audit AI outputs for accuracy. Advanced degrees preferred.

You will author ground-truth solutions in HDL and assembly, review C/C++, Verilog/VHDL, and provide structured feedback to improve model reasoning. Flexible, global collaboration is offered.

Qualifications

• Advanced degree in Computer Engineering or CS with hardware focus.
• Strong foundational knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or OS.
• Ability to communicate technical hardware concepts clearly in writing.

Responsibilities

• Design advanced computer engineering challenges across RISC-V/ARM, FPGA, memory management, and HW-SW co-design.
• Author step-by-step ground-truth solutions including HDL snippets and architectural diagrams.
• Audit AI-generated code (C/C++, Verilog, VHDL), gate designs, and OS kernels for accuracy and standards.

Skills

Advanced-domain knowledge

Analytical writing

Attention to detail

Oral/written communication

No AI experience required

Education

Masters (pursuing or completed) in Computer Engineering or CS with hardware focus

PhD in Computer Engineering or CS with hardware focus

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.

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.

Location

• Location: Remote

Organization

Alignerr Position: Computer Engineering Expert - AI Content Specialist 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.