Onsite UK English Data Labeling Analyst

Welo Data

Boston (MA)

Vor Ort

USD 33.000 - 44.000

Vollzeit

vor 45 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Paid Vacation: 6 days
Paid Company Holidays: 2 days
Paid Sick Leave
Medical, Dental, and Vision Insurance
Health Savings Account
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits

Zusammenfassung

Welo Data in the United States is seeking Data Labeling Analysts to support speech and voice AI systems. This role is onsite and focused on producing high-quality labeled audio and language data to power real-world AI models.

You will evaluate model outputs, perform audits, follow guidelines, and document findings while collaborating with cross-functional teams. Strong attention to detail and reliable, consistent work are essential.

Qualifikationen

  • 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.

Aufgaben

  • Evaluate AI model outputs and provide structured, high-quality feedback.
  • Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes.
  • Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios.
  • Contribute to improving evaluation frameworks, not just executing them.
  • Identify trends in model performance and communicate insights clearly.
  • Participate in team discussions, calibrations, and stakeholder syncs.
  • Partner with leads and cross-functional teams to refine quality standards.
  • Document findings in a clear, concise, and actionable way.

Kenntnisse

Attention to detail
Strong written communication
English (UK)
Time management
Ability to follow instructions
Reliability

Ausbildung

Bachelor's degree or equivalent

Jobbeschreibung

Welo Data in the United States is seeking Data Labeling Analysts to support speech and voice AI systems. This role is onsite and focused on producing high-quality labeled audio and language data to power real-world AI models.

You will evaluate model outputs, perform audits, follow guidelines, and document findings while collaborating with cross-functional teams. Strong attention to detail and reliable, consistent work are essential.

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