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

**Company**: Welocalize
**Location**: California
**Work arrangement**: onsite
**Job type**: full-time
**Salary**: USD 34-34 per-hour-wage
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.lever.co/weloglobal/77e1493a-ea3f-4ee4-b0e1-fc834cc56263?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5f6f40de-cf2

## Description

Welocalize is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate, focusing on evaluating AI model outputs and providing structured feedback.

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.

**Project Details**

- Job Title: Data Labeling Associate

- Location: Onsite (Bay Area, Seattle, NYC, or client-dependent)

- 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

**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

**Requirements**

- 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

## Skills

### Required
- Marathi
- English
- GenAI data delivery
- data quality
- model evaluation
- critical thinking
- structured writing

### Nice to have
- QA
- annotation
- analysis

---

Source: [Apply at jobs.lever.co](https://jobs.lever.co/weloglobal/77e1493a-ea3f-4ee4-b0e1-fc834cc56263?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)