Computer Engineering Expert - AI Content Specialist

Alignerr Corp.; Sheffield (TX); Remote; USD 48,000 - 83,000; Full time

Benefits offered by this job

Flexible remote work

Autonomy

Global collaboration

Job summary

Alignerr is seeking a Computer Engineering Expert - AI Content Specialist for remote, hourly contract work with 10–40 hours per week. You will design complex computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and HW-SW co-design.

You will author rigorous, step-by-step technical solutions, including assembly code, HDL snippets, and architectural diagrams for AI training, and audit AI-generated code and kernels for efficiency and

Qualifications

• Masters or PhD in a hardware-focused field or pursuing advanced degree.
• Strong fundamentals in core hardware areas.
• Excellent ability to explain complex hardware concepts in writing.
• Attention to detail in low-level timing and bit-level accuracy.
• No AI experience required.

Responsibilities

• Develop advanced computer engineering challenges across CPU architectures, FPGA, memory management, and HW-SW co-design.
• Author rigorous, step-by-step solutions with HDL snippets and diagrams for AI training.
• Audit AI-generated code (C/C++, Verilog, VHDL) and OS kernels for accuracy and standards.
• Identify logical fallacies in AI reasoning and provide actionable feedback.

Skills

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Technical Writing

Education

Masters/PhD in hardware-focused field

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.

• Location: Remote

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 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.