Tamil Data Labeling and AI Evaluation Specialist

Welo Data; Boston (MA); On-site; USD 39,000 - 55,000; Full time

Benefits offered by this job

Paid Vacation

Health Insurance

Dental Insurance

Vision Insurance

401(k)

Commuter Benefits

Free meals

Job summary

Welo Data is seeking a Tamil-speaking Data Labeling Associate to evaluate AI outputs, identify gaps, and help improve real-world performance. The role emphasizes data quality, model evaluation, and human judgment while requiring strong writing and communication abilities.

Applicants must be native Tamil speakers with a university degree and excellent English. This is an onsite, full-time, W2 position with no visa sponsorship, located in the US.

Qualifications

• Native Tamil with university degree.
• B2 or superior level of English.
• 1–2 years of professional writing experience with structured writing skills.
• Strong understanding of safety considerations in GenAI data delivery, with relevant experience.

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.
• Document findings in a clear, concise, and actionable way.

Skills

Tamil language

English proficiency

Writing skills

Attention to detail

Critical thinking

Communication skills

Education

Bachelor’s degree

Job description

Welo Data is seeking a Tamil-speaking Data Labeling Associate to evaluate AI outputs, identify gaps, and help improve real-world performance. The role emphasizes data quality, model evaluation, and human judgment while requiring strong writing and communication abilities.

Applicants must be native Tamil speakers with a university degree and excellent English. This is an onsite, full-time, W2 position with no visa sponsorship, located in the US.