Project Perseus | Data Labeling Associate - Marathi Speakers (Human-in-the-Loop AI)

Weloglobal
California, US
On-site

Who this role is best for

A natural match if you have experience in AI evaluation or data quality with native-level Marathi language skills.

Best fit for

  • Candidates with native-level Marathi language skills and a background in model evaluation or data quality
    — “Native-level Marathi language proficiency and a university degree (Bachelor’s or higher).”
  • Individuals who enjoy contributing to AI improvement through structured feedback and critical analysis
    — “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.”
  • Professionals with 1–2 years of writing experience and strong judgment in ambiguous situations
    — “1–2 years of professional writing experience with strong, structured writing skills”

Things to consider

  • Onsite work is mandatory, with no remote flexibility despite the full-time commitment
    — “This is a 100% onsite position — remote work is not available for this role.”
  • Work authorization in the U.S. is a strict requirement, with no visa sponsorship offered
    — “Must be authorized to work in the U.S. (no visa sponsorship)”

How to stand out

  • Highlight your ability to identify edge cases and improve evaluation frameworks in your resume
    — “Contribute to improving evaluation frameworks, not just executing them”
  • Emphasize your experience in applying complex rules consistently and making sound judgment calls
    — “Ability to apply complex writing rules and guidelines consistently”
  • Showcase your communication skills with examples of clear, concise documentation or insights sharing
    — “Document findings in a clear, concise, and actionable way”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • improved AI model outputs
  • enhanced data quality
  • clear communication
Typical background
data labelingAI evaluationdata quality

Skills & requirements

Required

Data LabelingAI EvaluationModel BehaviorData QualityGuideline ApplicationWriting Skills

Preferred

AI SafetyGenai Data Delivery

Stack & domain

AIData LabelingQuality Assurance

About the role

Original posting from Weloglobal via Lever

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: Data Labeling Associate

Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, 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

Contract Duration: 1-year contract with possibility of extension

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, Austin, Los Angeles, Washington DC, Chicago, 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 Marathi language proficiency 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.

Compensation:

Why This Role

This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Source: Weloglobal careers (Lever)

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