Italian Data Labeler - Onsite AI Training Data

Welocalize, Inc.; New York (NY); Presencial; USD 33 000 - 44 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid Vacation

Paid Holidays

Paid Sick Leave

Medical, Dental, and Vision Insurance

Health Savings Account (HSA)

401(k) Retirement Plan

Employee Assistance Program

Voluntary life/accident/critical Illn.

Free breakfast, lunch, and dinner

Stocked micro-kitchens with snacks and

Beverages

Commuter benefits, including shuttles

Bike-to-work options

Unique campus features

Resumo da oferta

Welo Data is seeking Italian-native Data Labeling Analysts to support speech and voice AI systems in a fully onsite capacity across select U.S. cities.

The role emphasizes high-quality, structured feedback and consistent data labeling at scale. Ideal candidates have 1 year of labeling experience or a related degree, strong attention to detail, and the ability to follow detailed guidelines in a structured environment.

Qualificações

• Native-level fluency in Italian.
• 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.

Responsabilidades

• 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

Conhecimentos

Italian native

Formação académica

Bachelor's degree or equivalent

Descrição da oferta de emprego

Welo Data is seeking Italian-native Data Labeling Analysts to support speech and voice AI systems in a fully onsite capacity across select U.S. cities.

The role emphasizes high-quality, structured feedback and consistent data labeling at scale. Ideal candidates have 1 year of labeling experience or a related degree, strong attention to detail, and the ability to follow detailed guidelines in a structured environment.