6 days ago

Computer Engineering Expert - AI Content Specialist

Alignerr

Hybrid
Contractor
$100,000
Hybrid

Job Overview

Job TitleComputer Engineering Expert - AI Content Specialist
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$100,000
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.

As a Computer Engineering Expert - AI Content Specialist, 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

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-Software Co-design
  • AI Model Training
  • Technical Writing
  • Code Evaluation
  • Verilog/VHDL
  • C/C++ Programming

Tags:

Computer Engineering Expert
AI content creation
model training
problem development
solution authoring
technical auditing
reasoning refinement
hardware concepts
low-level software
digital logic design
embedded systems development
RISC-V architecture
ARM architecture
FPGA development
C++
Verilog
VHDL
Operating Systems
Memory management
Distributed systems
Hardware security

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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: Highlight advanced degrees, computer architecture, embedded systems, and detailed technical writing experience.
  • Showcase technical depth: Provide examples of complex problem-solving in hardware design, systems software, or digital logic.
  • Prepare for technical auditing: Be ready to discuss evaluating code (C/C++, Verilog, VHDL) and identifying reasoning errors in AI models.
  • Emphasize remote collaboration: Demonstrate strong communication and autonomy for this flexible, contract-based remote role.

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