Italian Data Labeling Analyst — Onsite AI Quality

Welo Data; Boston (MA); On-site; USD 54,000 - 62,000; Full time

Benefits offered by this job

Paid Vacation 6 days

Paid Holidays 2 days

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This onsite role focuses on building high-quality datasets with careful annotation of audio, language, and model outputs.

Candidates should have 1 year of labeling experience or a related degree, excellent Italian language skills, and the ability to follow detailed guidelines in a structured environment. Join us to contribute to scalable AI data pipelines.

Qualifications

• 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 in a related field.
• Ability to follow detailed instructions and apply guidelines consistently.
• High attention to detail and ability to 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

Attention to detail

Strong written communication

Time management

Education

Bachelor's degree or equivalent in related field

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This onsite role focuses on building high-quality datasets with careful annotation of audio, language, and model outputs.

Candidates should have 1 year of labeling experience or a related degree, excellent Italian language skills, and the ability to follow detailed guidelines in a structured environment. Join us to contribute to scalable AI data pipelines.