1 day ago

Computer Engineering Expert - AI Content Specialist

Alignerr

Hybrid
Contractor
$120,000
Hybrid

Job Overview

Job TitleComputer Engineering Expert - AI Content Specialist
Job TypeContractor
Offered Salary$120,000
LocationHybrid

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Job Description

Computer Engineering Expert - AI Content Specialist at Alignerr

About Alignerr and the Role

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. In this Computer Engineering Expert - AI Content Specialist role, 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—documenting every failure mode to harden model reasoning.

This is an hourly contract position with competitive compensation, offering 10–40 hours/week, working remotely.

What You'll Do as a Computer Engineering Expert - AI Content Specialist

  • 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 for this Role

  • 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
  • C/C++/Verilog/VHDL
  • RISC-V/ARM
  • Memory Management

Tags:

Computer Engineering Expert
AI Content Specialist
Computer Architecture
Embedded Systems
Digital Logic Design
Operating Systems
Hardware Design
AI Model Training
Technical Writing
C/C++
Verilog
VHDL
RISC-V
ARM
FPGA
Memory Management
Systems Software
IoT
Hardware Security
Data Annotation

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How to Get Hired at Alignerr

  • Research Alignerr's vision: Understand their mission in AI training and partnership with leading research teams.
  • Tailor your resume: Highlight advanced degrees and expertise in computer architecture, embedded systems, and digital logic.
  • Showcase analytical writing: Prepare examples of clear, concise technical documentation or solutions.
  • Demonstrate attention to detail: Be ready to discuss your precision in hardware concepts and low-level software logic.
  • Highlight relevant project work: Emphasize any experience with RISC-V/ARM, FPGA, or operating system kernels.

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