1 day ago

AI Content Specialist, Computer Engineering

Alignerr

Hybrid
Contractor
$93,600
Hybrid

Job Overview

Job TitleAI Content Specialist, Computer Engineering
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$93,600
LocationHybrid

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Job Description

About Alignerr

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. As an AI Content Specialist, Computer Engineering, you will challenge advanced language models on complex topics such as computer architecture, hardware design, embedded systems, IoT, networking, distributed systems, hardware security, and systems software and operating systems. Your role involves meticulously documenting every failure mode to enhance model reasoning and robustness.

This position is an hourly contract role, offering competitive compensation and flexible remote work (10–40 hours/week).

What You'll Do as an AI Content Specialist, Computer Engineering

  • 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.
  • 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.

Key skills/competency

  • Computer Architecture
  • Embedded Systems
  • Digital Logic Design
  • Operating Systems
  • Hardware Design
  • AI Model Training
  • Technical Writing
  • Verilog/VHDL
  • C/C++
  • Memory Management

Tags:

AI Content Specialist
Computer Engineering
Computer Architecture
Embedded Systems
Digital Logic Design
Operating Systems
Hardware Design
Technical Writing
AI Model Training
Verilog
VHDL
C++
C
Systems Software

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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 resume to highlight advanced degrees and domain expertise in computer engineering, aligning with Alignerr's needs for an AI Content Specialist, Computer Engineering.
  • Showcase analytical writing: Prepare to demonstrate your ability to clearly and concisely communicate complex hardware and low-level software concepts, a key skill for this role at Alignerr.
  • Prepare for technical depth: Brush up on core computer engineering topics and be ready to discuss precise details related to hardware, operating systems, and logic.
  • Highlight attention to detail: Emphasize examples where your meticulous precision in technical tasks led to successful outcomes, crucial for auditing AI-generated content.

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