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3 дня назад

Machine Learning Data Linguist (AI)

43 680 - 76 960$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Machine Learning Data Linguist (AI): Labeling, generating, and ensuring the quality of datasets for Alexa AI with an accent on linguistic annotation and error trend analysis. Focus on collaborating with scientists to resolve data ambiguities, driving process innovation, and improving annotation workflows.

Location: Must be based in Boston, MA or Seattle, WA

Salary: $21.00–$37.00 per hour

Company

A global technology corporation focused on e-commerce, cloud computing, and artificial intelligence.

What you will do

  • Label, generate, and maintain high-quality datasets for AI model training.
  • Conduct qualitative error trend analysis to develop action plans for data quality improvement.
  • Collaborate with scientists and operations managers to resolve data ambiguities and refine annotation guidelines.
  • Drive innovation in tracking and annotation workflows to reduce handling time.
  • Identify software bugs and suggest enhancements to internal tools.
  • Provide data quality expertise and coaching to team members.

Requirements

  • Bachelor's degree or equivalent required.
  • 2+ years of experience in computational linguistics, language data processing, semantics, or syntax.
  • Experience in data annotation, labeling, or markup.
  • Proficiency in Microsoft Excel for data analysis and visualization.
  • Experience leading a team of peers.
  • Must be authorized to work in the USA.

Nice to have

  • Bachelor's degree in Linguistics, English, or Communications.
  • Ability to navigate a Unix terminal and use command line tools.
  • Experience writing basic code or scripts.
  • Interest in conversational design and pragmatics.

Culture & Benefits

  • Comprehensive health insurance including medical, dental, and vision.
  • 401(k) matching program.
  • Paid time off and parental leave.
  • Access to mental health support and medical advice lines.
  • Inclusive culture with workplace accommodation support.
  • Compensation package includes sign-on payments and restricted stock units (RSUs).

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