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4 дня назад

Training Specialist (AI)

60 000 - 125 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Training Specialist (AI): Designing and delivering training materials to onboard and upskill an expert network for AI data labeling programs with an accent on translating complex technical requirements into clear instructions. Focus on analyzing learner performance data to close quality gaps and scaling training effectiveness through reusable frameworks.

Location: San Francisco, CA

Compensation: $60,000 – $125,000

Company

hirify.global provides the platform and tools, including Label Studio, for the creation, curation, and evaluation of high-quality data used to train and validate foundation models.

What you will do

  • Design project-specific training collateral, including written guides, rubrics, and assessments, within tight timelines (24–48 hours).
  • Translate complex technical task requirements into clear and actionable instructions for contributors.
  • Analyze learner performance data and error patterns to identify training gaps and design targeted interventions.
  • Train and coach operations staff on instructional design principles and quality assessment methods.
  • Build reusable content templates and frameworks to ensure training consistency across diverse projects.
  • Collaborate with Product and Engineering teams to suggest tooling improvements that support learning at scale.

Requirements

  • 3+ years of experience in instructional design, training, or technical content creation.
  • Proven ability to simplify complex concepts for non-expert audiences.
  • Experience developing high-quality training materials under strict deadlines.
  • Strong written communication and structured thinking skills.
  • Ability to use performance metrics to analyze and improve training programs.

Nice to have

  • AI/ML background or understanding of training methodologies like SFT, RLHF, and model evaluation.
  • STEM degree in Computer Science, Data Science, or a related field.
  • Experience with LMS platforms or annotation tools such as Scale, Labelbox, or Prodigy.
  • Background in customer success enablement or technical consulting.

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