Marathi Data Labeling Associate

WelocalizeWelocalizeCalifornia City, California, United States
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Posted

10/15/2026

Employment

Full time

Range

$34 - $34/hr

Work style

On-site

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AI summary

Core responsibilities

Evaluate AI model outputs by providing structured feedback and identifying patterns or failure modes. Collaborate with cross-functional teams to refine quality standards and document actionable findings.

Requirements overview

Requires native-level proficiency in Marathi, a bachelor's degree, and B2 or superior English skills. Candidates must have 1-2 years of professional writing experience and the ability to work onsite in specified U.S. cities.

Key skills

MarathiEnglishData LabelingAI Model EvaluationCritical ThinkingQuality AssuranceTechnical WritingData AnalysisAttention To DetailCommunicationGenAIAnnotationProblem SolvingStakeholder Management

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Education requirements

bachelor degree

About Welocalize

Industry

Technology, Information and Internet

Employees

1,131

Type

Privately Held

Size

1,001-5,000 employees

With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. We fuel AI/ML and GenAI innovation through scalable, high-precision training data and multilingual expertise. Our network of 500,000+ expert evaluators and domain specialists across 105 countries ensures diverse and reliable AI solutions. Welo Data, a Welo Global brand, delivers a comprehensive spectrum of AI data services—including data annotation and labeling, LLM enhancement, data collection and generation, and relevance and intent assessment. With 14 secure facilities globally, 7 ISO certifications, and 24/7/365 support, we consistently deliver quality measures across scaled programs and complex, emerging projects. Leading technology innovators, including Google, Spotify, Amazon, Workday, Squarespace, and Dropbox, trust Welo Data. Our enterprise-grade solutions empower organizations to unlock the full potential of their data and AI initiatives while maintaining the highest standards of quality and ethical responsibility. By joining Welo Data, you will obtain: - Limitless FLEXIBILITY: Work on projects at the times that work best for you, with clear guidelines and transparent pay. - Limitless GROWTH: Access to optional learning resources and guidance to expand your skills with each project you complete. - Limitless SUPPORT: Connect with a global community and receive responsive assistance whenever you have questions. Welo Data is redefining how AI learns and how people thrive in shaping it. Follow us for enterprise AI insights, global job opportunities, and stories from our community. Limitless AI. Limitless You.

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Job categories

Data & AnalyticsTechnologySoftwareScience & Research

Description

Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You'll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We're looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Project Perseus | Data Labeling Associate – Marathi Speakers (Human-in-the-Loop AI) Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You'll Do 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 What We're Looking For Native-level proficiency in Marathi 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 Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Requirements

  • •Marathi
  • •English
  • •Data Labeling
  • •AI Model Evaluation
  • •Critical Thinking
  • •Quality Assurance
  • •Technical Writing
  • •Data Analysis
  • •Attention To Detail
  • •Communication
  • •GenAI
  • •Annotation
  • •Problem Solving
  • •Stakeholder Management

Benefits

  • •Paid Vacation
  • •Paid Company Holidays
  • •Paid Sick Leave
  • •Medical Insurance
  • •Dental Insurance
  • •Vision Insurance
  • •Health Savings Account
  • •401(k) Retirement Plan
  • •Employee Assistance Program
  • •Free Gourmet Food
  • •Commuter Benefits

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