Italian Data Labeling Associate – Onsite AI QA Expert

Welocalize, Inc.; Boston (MA); On-site; USD 68,000 - 78,000; Full time

Benefits offered by this job

Paid vacation

Holiday pay

Sick leave

Health insurance

HSA

401(k)

Employee assistance

Free gourmet food

Free snacks

Commuter benefits

Job summary

Welocalize, Inc. is seeking a Data Labeling Associate for Italian speakers to evaluate AI outputs and provide structured feedback on data quality and model behavior. This 100% onsite role requires strong writing and attention to detail, with cross-functional collaboration to refine quality standards.

The position emphasizes critical thinking, adherence to guidelines, and the ability to communicate insights to leads and teammates, supporting real-world AI evaluation efforts.

Qualifications

• Native-level proficiency in Italian and a university degree.
• English at B2 level or higher.
• 1-2 years of professional writing experience with structured writing.
• Experience with safety considerations in GenAI data delivery.

Responsibilities

• Evaluate AI model outputs and provide structured feedback.
• Perform audit-based reviews of data and model behavior.
• 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.
• 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 (native) proficiency

English (B2+)

Strong writing skills

Attention to detail

Education

Bachelor's degree

Job description

Welocalize, Inc. is seeking a Data Labeling Associate for Italian speakers to evaluate AI outputs and provide structured feedback on data quality and model behavior. This 100% onsite role requires strong writing and attention to detail, with cross-functional collaboration to refine quality standards.

The position emphasizes critical thinking, adherence to guidelines, and the ability to communicate insights to leads and teammates, supporting real-world AI evaluation efforts.