Marathi AI Labeling & Quality Associate

Welo Data; Washington (District of Columbia); On-site; USD 40,000 - 54,000; Full time

Benefits offered by this job

Paid Vacation

Paid Holidays

Sick Leave

Health Insurance

Dental Insurance

401(k)

Job summary

Welo Data seeks sharp, curious individuals for a Data Labeling Associate role focused on Marathi speakers. You will evaluate AI outputs and provide high-quality feedback, working onsite across multiple US cities to improve real-world systems.

The position requires Marathi proficiency, strong English, and 1–2 years of writing experience, with attention to safety in GenAI data handling. Join a collaborative team shaping evaluation frameworks and data quality standards.

Qualifications

• Native-level Marathi language proficiency required.
• English at least B2 level expected.
• 1–2 years of professional writing experience preferred.

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 gaps reflecting 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.
• Collaborate with leads and cross-functional teams to refine quality standards.
• Document findings in a clear, concise, and actionable way.

Skills

Marathi language proficiency

English proficiency

Writing experience

Attention to detail

GenAI safety knowledge

Critical thinking

Education

Bachelor's degree

Job description

Welo Data seeks sharp, curious individuals for a Data Labeling Associate role focused on Marathi speakers. You will evaluate AI outputs and provide high-quality feedback, working onsite across multiple US cities to improve real-world systems.

The position requires Marathi proficiency, strong English, and 1–2 years of writing experience, with attention to safety in GenAI data handling. Join a collaborative team shaping evaluation frameworks and data quality standards.