Tamil AI QA & Data Evaluation Specialist

Welocalize, Inc.; Boston (MA); On-site; USD 70,000 - 76,000; Full time

Benefits offered by this job

Paid Vacation

Paid Holidays

Health Insurance

401(k) Plan

Paid Sick Leave

Free meals and snacks

Job summary

Welocalize, Inc. is seeking a Data Labeling Associate for the Project Perseus initiative, focusing on Tamil-language data evaluation and high-quality feedback. This is a 100% on-site role with no remote work, requiring you to be located in or commute to one of the listed U.S.

cities. The position emphasizes evaluating AI outputs, identifying gaps, and contributing to data quality and model evaluation discussions.

Qualifications

• Native-level proficiency in Tamil and a university degree.
• English at B2 level or higher.
• 1–2 years of professional writing experience with structured writing skills.
• Experience with GenAI data safety and evaluation.
• Strong critical thinking and attention to detail.

Responsibilities

• Evaluate AI model outputs and provide structured, high-quality feedback.
• Perform audit-based reviews of data and model behavior, identifying patterns and edge cases.
• Apply guidelines thoughtfully and flag where they don’t reflect real-world scenarios.
• Contribute to improving evaluation frameworks beyond execution.
• 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 clearly and concisely.

Skills

Tamil (native-level)

English (B2+)

Professional writing

Critical thinking

Attention to detail

Communication skills

Curiosity about AI

Education

Bachelor’s degree

Job description

Welocalize, Inc. is seeking a Data Labeling Associate for the Project Perseus initiative, focusing on Tamil-language data evaluation and high-quality feedback. This is a 100% on-site role with no remote work, requiring you to be located in or commute to one of the listed U.S.

cities. The position emphasizes evaluating AI outputs, identifying gaps, and contributing to data quality and model evaluation discussions.