Project Perseus | Data Quality Analyst - French Speakers (Human-in-the-Loop AI)

Welo Global; Sunnyvale (CA); Presencial; USD 43.187 - 61.509; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid Sick Time & Paid Holiday (combined): 15 days

Medical, Dental, and Vision Insurance

Free Gourmet Food

Commuter Benefits

Descripción de la vacante

Welo Global is searching for a Data Quality Analyst based in Sunnyvale, California. In this full-time role, you will ensure high data quality and guide data labeling associates in their day-to-day tasks. Responsibilities include auditing outputs, providing feedback, and supporting guideline interpretation. Required qualifications include a Bachelor's degree and 2-4 years of relevant experience. Benefits include medical insurance and various perks like free gourmet meals and commuter benefits.

Formación

• Native-level language proficiency required.
• B2 or superior level of English.
• 2–4 years of experience in data annotation, content quality, QA, or related fields.

Responsabilidades

• Support quality and execution across DLA teams.
• Audit DLA outputs and provide structured feedback.
• Act as the first line of support for DLAs.

Conocimientos

Attention to detail

Strong ability to interpret complex guidelines

Experience in data annotation or content quality

Ability to adapt to evolving guidelines

Experience in AI/ML workflows

Educación

Bachelor’s degree or higher

Descripción del empleo

Overview

Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right.

You’ll work closely with both people and AI systems — auditing outputs, supporting day‑to‑day execution, and helping teams apply guidelines correctly in fast‑moving, real‑world scenarios. The work combines data quality, light project coordination, and hands‑on training, where your ability to guide others and think critically is just as important as your own output.

Project Details

• Job Title: Data Quality Analyst
• Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame.
• 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: $38/hour

What You’ll Do

• Support quality and execution across DLA teams, ensuring work meets defined standards at scale
• Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency
• Act as the first line of support for DLAs — answering questions and helping interpret guidelines
• Help DLAs navigate ambiguity and apply evolving instructions effectively
• Support onboarding and training of new DLAs through hands‑on guidance and coaching
• Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads
• Identify patterns, recurring issues, and edge cases in both human and model outputs
• Participate in calibrations, team discussions, and stakeholder syncs
• Contribute to improving guidelines, processes, and overall team performance
• Document findings and feedback in a clear, concise, and actionable way

What We’re Looking For

• Native‑level language proficiency and a university degree (Bachelor’s or higher).
• B2 or superior level of English.
• 2–4 years of experience in data annotation, content quality, QA, or related fields.
• Strong ability to interpret and apply complex guidelines with consistency.
• Excellent attention to detail with a high bar for quality.
• Ability to stay consistent while working with evolving guidelines and priorities.
• Experience in AI/ML data workflows or human‑in‑the‑loop evaluation environments.
• Prior experience auditing or reviewing the work of others.
• Familiarity with safety, compliance, or policy‑driven content evaluation.

Benefits

• Paid Sick Time & Paid Holiday (combined): 15 days
• Paid Holidays: Memorial Day and Labor Day
• 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.

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.

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.

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.