Brazilian Portuguese Data Labeler: Speech AI Analyst

Welo Data

Boston (MA)

Vor Ort

USD 34.000 - 43.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Health Savings Account (HSA)
Paid Vacation: 6 days
Paid Holidays: 2 days
Paid Sick Leave

Zusammenfassung

Welo Data is seeking Data Labeling Analysts to support speech and voice AI systems in an onsite environment. You will work with audio, speech, and language data to build accurate, well-structured datasets for real-world AI models.

This production role emphasizes execution with strong judgment and consistency, requiring dependable, high-quality output in a fast-paced setting and close collaboration with cross-functional teams.

Qualifikationen

  • Portuguese language proficiency at native level.
  • Strong written communication and attention to detail.
  • 1 year of data labeling or related work experience, or a related degree.

Aufgaben

  • Evaluate AI model outputs and provide structured feedback.
  • Audit data and model behavior to identify patterns and edge cases.
  • Apply guidelines thoughtfully and flag misalignments with real-world scenarios.
  • Help improve evaluation frameworks, not just execute them.
  • Identify trends in model performance and share insights clearly.
  • Participate in team calibrations and stakeholder syncs.
  • Collaborate with leads to refine quality standards.
  • Document findings in a clear, actionable way.

Kenntnisse

Native Portuguese
Strong written communication

Ausbildung

Bachelor's degree or equivalent

Jobbeschreibung

Welo Data is seeking Data Labeling Analysts to support speech and voice AI systems in an onsite environment. You will work with audio, speech, and language data to build accurate, well-structured datasets for real-world AI models.

This production role emphasizes execution with strong judgment and consistency, requiring dependable, high-quality output in a fast-paced setting and close collaboration with cross-functional teams.

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