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5 дней назад

Instructional Design and Product QA Intern (AI)

Формат работы
remote
Тип работы
fulltime
Грейд
trainee
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Instructional Design and Product QA Intern (AI): Auditing AI-generated learning content and testing platform functionality with an accent on instructional theory alignment and UI/UX quality. Focus on validating AI outputs against pedagogical frameworks, identifying andragogical bugs, and refining system prompts to improve instructional quality.

Company

hirify.global is an AI-driven startup bridging the gap between complex instructional theory and engaging, dynamic learning experiences.

What you will do

  • Audit AI-generated content against frameworks like Bloom’s Taxonomy and Gagné’s Nine Events of Instruction.
  • Systematically test platform functionality to identify UI/UX friction points for instructional designers.
  • Identify and document andragogical bugs where AI provides unsound advice or skips training steps.
  • Collaborate with the Product Manager to refine system prompts and improve the instructional quality of AI assets.
  • Curate validated datasets and Open Educational Resources to inform and ground AI outputs.
  • Cross-reference AI-generated content against authoritative sources to ensure factual accuracy and prevent hallucinations.

Requirements

  • Current or recent graduate student in Instructional Design, Educational Technology, or Learning Science.
  • Deep understanding and practical application of instructional design frameworks like ADDIE.
  • Experience or willingness to learn bug-tracking and project management software.
  • Strong research skills with the ability to distinguish between popular content and validated data.
  • Practical experience with LLMs and a strong interest in AI-driven instructional development.

Culture & Benefits

  • Opportunity to work at the intersection of AI and EdTech.
  • Potential to transition into a paid position based on performance.
  • Fully remote work environment.

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