6 days ago

Computer Engineering Expert AI Content Specialist

Alignerr

Hybrid
Contractor
$104,000
Hybrid

Job Overview

Job TitleComputer Engineering Expert AI Content Specialist
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$104,000
LocationHybrid

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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.

Organization: AlignerrPosition: Computer Engineering Expert AI Content SpecialistType: Hourly ContractCompensation: $35–$60 /hourLocation: RemoteCommitment: 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.

Application Process (Takes 15-20 min)

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

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

Key skills/competency

  • Computer Architecture
  • Embedded Systems
  • Digital Logic Design
  • Operating Systems
  • Hardware Design
  • AI Model Evaluation
  • Technical Writing
  • C/C++ Programming
  • Verilog/VHDL
  • Systems Software

Tags:

computer engineering expert
AI content specialist
AI model evaluation
technical content creation
computer architecture
embedded systems
digital logic
operating systems
hardware security
systems software
problem design
solution authoring
RISC-V
ARM
FPGA
C/C++
Verilog
VHDL
SolidWorks
MATLAB
ANSYS
assembly code

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How to Get Hired at Alignerr

  • Research Alignerr's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your application to highlight deep computer engineering expertise and analytical writing skills, aligning with Alignerr's AI content needs.
  • Showcase domain knowledge: Emphasize strong foundational understanding in computer architecture, embedded systems, digital logic design, and operating systems.
  • Prepare for technical challenges: Be ready to discuss complex hardware/software co-design, memory management, and low-level logic, relevant to AI model evaluation.
  • Demonstrate analytical writing: Practice clearly and concisely articulating highly technical concepts and system-level logic through written examples.

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