1 day ago

Computer Engineering AI Content Specialist

Alignerr

Hybrid
Contractor
$100,000
Hybrid

Job Overview

Job TitleComputer Engineering AI Content Specialist
Job TypeContractor
Offered Salary$100,000
LocationHybrid

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Job Description

About the Computer Engineering AI Content Specialist Role at Alignerr

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 AI Content SpecialistType: Hourly ContractCompensation: $35–$60 /hourLocation: RemoteCommitment: 10–40 hours/week

Key Responsibilities

  • 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.

Qualifications and Expertise

  • 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 Skills

  • 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.
  • 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

  • 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 Security
  • AI Model Training
  • Technical Writing
  • Verilog/VHDL
  • C/C++
  • Memory Management

Tags:

Computer Engineering Specialist
AI model training
hardware design
embedded systems
digital logic
operating systems
technical auditing
content development
problem-solving
analytical writing
feedback
RISC-V
ARM
FPGA
Verilog
VHDL
C/C++
MATLAB
SolidWorks
ANSYS
LLM

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How to Get Hired at Alignerr

  • Deep Dive into Alignerr's Culture: Study their mission, values, AI partnerships, and project impact on advanced language models.
  • Tailor Your Resume: Highlight computer engineering expertise, specifically in hardware, embedded systems, and digital logic design.
  • Showcase Technical Writing: Provide examples of clear, concise explanations for complex hardware and low-level software concepts.
  • Emphasize Attention to Detail: Demonstrate precision in technical auditing, bit-level operations, and clock-cycle timing.
  • Prepare for Domain-Specific Questions: Refresh your knowledge in computer architecture, operating systems, and HDL development.

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