Italian Data Labeler — Onsite AI Annotation Pro

Welo Data; California; On-site; USD 33,000 - 44,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Health Savings Account (HSA)

Employee Assistance Program

Job summary

Welo Data seeks detail-oriented Data Labeling Analysts for on-site work supporting speech and voice AI systems. You will label audio-language data, ensuring datasets are accurate and well-structured for model training.

The role emphasizes high-quality, repeatable results in a production environment. Ideal candidates have native Italian, strong written skills, and 1 year of labeling experience or a related degree.

Qualifications

• Native-level fluency in Italian.
• 1 year of work experience in data labeling, annotation, or content-focused work; or a related degree.
• Ability to follow detailed instructions and maintain accuracy in repetitive tasks.

Responsibilities

• 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.

Skills

Italian fluency

Written communication

Attention to detail

Time management

Follow detailed instructions

Data labeling experience

Education

Bachelor's degree or equivalent in a related field

Job description

Welo Data seeks detail-oriented Data Labeling Analysts for on-site work supporting speech and voice AI systems. You will label audio-language data, ensuring datasets are accurate and well-structured for model training.

The role emphasizes high-quality, repeatable results in a production environment. Ideal candidates have native Italian, strong written skills, and 1 year of labeling experience or a related degree.