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

Welo Global; Sunnyvale (CA); Presencial; USD 36.368 - 51.797; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid Sick Time & Holiday

Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Free Gourmet Food

Commuter Benefits

Descripción de la vacante

Welo Global in Sunnyvale is hiring a Data Quality Analyst to ensure quality execution and support DLA teams. Responsibilities include auditing output, providing feedback, and guiding team members. Candidates require a degree and 2–4 years of experience in data quality or similar fields. This full-time role is 100% onsite with benefits including medical insurance and paid holidays. The pay rate is $38/hour with a 1-year contract and possibility of extension.

Formación

• 2–4 years of experience in data annotation, content quality, or related fields.
• B2 or superior level of English.
• Strong ability to interpret complex guidelines with consistency.

Responsabilidades

• Support quality and execution across DLA teams.
• Audit DLA outputs and provide actionable feedback.
• Help DLAs navigate ambiguity.

Conocimientos

Native-level language proficiency

Attention to detail

Experience in data annotation

Familiarity with 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
• Hiring in: 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
• 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, or Burlingame. Please only apply if you meet this location requirement.

$32 - $32 an 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.