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Audio Annotator - English

CloudFactory

Massachusetts, United States ・ 契約

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5時間前
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資格
Candidates with a high school diploma or equivalent who are native English speakers and have English proficiency at B2 level can apply.
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仕事内容

Who We Are

CloudFactory is a purpose-led team focused on helping AI reach its full potential. By pairing modern technology with a worldwide community of skilled specialists, the company turns unusable data into reliable, trustworthy inputs that support real business outcomes at scale.

Beyond being a place of work, CloudFactory describes itself as a global community built on strong relationships and the idea that meaningful work can change lives. Its approach is guided by earning, learning, and serving, with a long-term goal of connecting one million people to meaningful work and developing leaders people want to follow.

Our Culture

The organization aims to create an environment where people feel supported, respected, and encouraged to show up as themselves. Its culture is centered on impact, growth, belonging, improvement, and cross-cultural collaboration.

  • Mission-led: the focus is on generating social and economic value
  • People-first: team growth, well-being, and inclusion are important priorities
  • Innovative: the team welcomes change and seeks better ways to work together
  • Globally connected: collaboration across cultures and perspectives is encouraged

If you want to be part of a lively international community and contribute while learning and serving, this role is aligned with that environment.

What You'll Do

  • Review audio clips and decide whether the passage is spoken naturally or read aloud, paying attention to subtle differences in delivery
  • Assist with quality assurance work on read-aloud detection datasets to help maintain strong classification accuracy

Requirements

  • Completion of high school or an equivalent qualification
  • Native-level English speaking ability
  • English proficiency at B2 level

Engagement Details

  • This is a contract role
  • Expected workload is 10 to 20 hours per week
  • The project runs for 4 weeks, with a possibility of extension

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