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Computer Engineering - AI Data Trainer
Computer Engineering - AI Data TrainerAlignerr • Edmonton, Division No. 11, CA
Computer Engineering - AI Data Trainer

Computer Engineering - AI Data Trainer

Alignerr • Edmonton, Division No. 11, CA
Il y a 1 jour
Type de contrat
  • Temps plein
Description de poste

Overview

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

Location : Remote

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.

Qualifications

  • 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

  • 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.

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