1 month ago

Computer Engineering AI Content Specialist

Alignerr

Hybrid
Contractor
$124,800
Hybrid
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Job Overview

Job TitleComputer Engineering AI Content Specialist
Job TypeContractor
Offered Salary$124,800
LocationHybrid

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Job Description

Computer Engineering AI Content Specialist at Alignerr

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

As a Computer Engineering AI Content Specialist, you will 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. Your role involves meticulously documenting every failure mode to harden model reasoning.

This is an hourly contract position offering competitive compensation of $35–$60 per hour, with a commitment of 10–40 hours per week, and is fully 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.

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 Qualifications

  • 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 Alignerr

  • Competitive pay and flexible remote work arrangements.
  • Opportunity to collaborate with a team working on cutting-edge AI projects.
  • Direct exposure to advanced Large Language Models (LLMs) and their training methodologies.
  • Enjoy freelance perks including autonomy, flexibility, and global collaboration.
  • Potential for contract extension based on performance and project needs.

Application Process

The application process is designed to be efficient, taking approximately 15-20 minutes:

  • Submit your resume.
  • Complete a short screening.
  • Project matching and onboarding.

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

Key skills/competency

  • Computer Architecture
  • Embedded Systems
  • Digital Logic Design
  • Operating Systems
  • Hardware-Software Co-design
  • Verilog/VHDL
  • C/C++
  • Technical Writing
  • AI Model Evaluation
  • Data Annotation

Tags:

Computer Engineering AI Content Specialist
Computer Architecture
Embedded Systems
Digital Logic Design
Operating Systems
Hardware-Software Co-design
Technical Writing
AI Model Evaluation
Code Auditing
Problem Solving
Logic Fallacy Identification
RISC-V
ARM
FPGA
Verilog
VHDL
C++
C
Assembly
MATLAB
SolidWorks

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How to Get Hired at Alignerr

  • Research Alignerr's mission: Study their focus on partnering with leading AI research teams and labs.
  • Tailor your resume: Highlight advanced degrees in computer engineering and specific domain expertise.
  • Showcase technical writing skills: Emphasize experience communicating complex hardware and software concepts.
  • Prepare for detailed problem-solving: Practice analyzing and articulating solutions for computer architecture challenges.
  • Demonstrate attention to detail: Be ready to discuss your precision in technical documentation and code evaluation.

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