Onsite Tamil AI Data Labeling & QA Associate

Welo Data; Washington; On-site; USD 40,000 - 54,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Health Insurance

401(k) Retirement Plan

Free Gourmet Food

Job summary

Welo Data is seeking a Data Labeling Associate (Tamil Speakers) to join our onsite team. This role focuses on evaluating AI outputs, identifying gaps, and providing high‑quality feedback to improve real‑world system behavior. It is not a traditional annotation job and requires clear reasoning and adherence to guidelines.

The position is 40 hours per week, full‑time, W2, onsite only in listed U.S. cities. Applicants must be eligible to work in the U.S.—no visa sponsorship.

Qualifications

• Native-level proficiency in Tamil and a university degree (Bachelor’s or higher).
• B2 or superior level of English.
• 1–2 years of professional writing experience with strong, structured writing skills.
• Ability to apply complex writing rules and guidelines consistently.
• Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience.
• 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, 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

Tamil language

English proficiency

Writing skills

Critical thinking

Education

Bachelor's or higher

Job description

Welo Data is seeking a Data Labeling Associate (Tamil Speakers) to join our onsite team. This role focuses on evaluating AI outputs, identifying gaps, and providing high‑quality feedback to improve real‑world system behavior. It is not a traditional annotation job and requires clear reasoning and adherence to guidelines.

The position is 40 hours per week, full‑time, W2, onsite only in listed U.S. cities. Applicants must be eligible to work in the U.S.—no visa sponsorship.