Speech & Voice AI Analyst - Italian Speakers

Welo Data; Washington (District of Columbia); On-site; USD 52,000 - 58,000; Full time

Benefits offered by this job

Paid Sick Time

Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Free meals

Job summary

Welo Data is seeking a Data Labeling Analyst to support speech and voice AI systems in Washington. This full-time role (40 hours/week) involves data labeling and annotation tasks essential for accurate AI training. Candidates should have professional-level fluency in Italian and 1–2 years of relevant experience. The position is onsite with no remote work and offers benefits like paid sick time, medical insurance, and a 401(k) plan. Interested applicants must be authorized to work in the U.S.

Qualifications

• 1–2 years of experience in data labeling, annotation, or content-focused work.
• Ability to follow detailed instructions and apply guidelines consistently.
• Comfort working in structured, process-driven environments.

Responsibilities

• Execute high-volume data labeling and annotation tasks.
• Follow guidelines to ensure consistency and accuracy.
• Support baseline data production needs for AI training.

Skills

Professional-level fluency in Italian

Strong written communication skills

High attention to detail

Time management

Job description

Overview

Welo Data is looking for detail‑oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high‑impact production role focused on building the datasets that power real‑world AI systems. You’ll work with audio, speech, and language data to ensure models are trained on accurate, well‑structured, and representative inputs. The role requires strong judgment, attention to detail, and consistency, and sits at the intersection of language, data, and AI systems where precision matters at scale.

Project Details

• Job Title: Data Labeling Analyst
• Hiring in: Washington State (On‑Site: Redmond, Seattle, or Bellevue)
• 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: $26 – $28/hour
• Location Requirement: Must be located in or be able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame.
• Note: 100% onsite – remote work is not available for this role.

What You’ll Do

• Execute high‑volume data labeling and annotation tasks across speech and voice datasets.
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale.
• Work with audio and language data, including transcription, categorization, and tagging.
• Maintain strong throughput while meeting quality expectations.
• Escalate unclear or ambiguous cases appropriately.
• Adapt to evolving guidelines and workflows as systems and requirements change.
• Support baseline data production needs for AI training pipelines.
• Contribute to team calibrations and quality alignment sessions.

What We’re Looking For

• Professional‑level fluency in Italian.
• Strong written communication skills and language fundamentals.
• 1–2 years of experience in data labeling, annotation, or content‑focused work.
• Ability to follow detailed instructions and apply guidelines consistently.
• High attention to detail and ability to maintain accuracy in repetitive tasks.
• Comfort working in structured, process‑driven environments.
• Ability to manage time effectively and maintain steady output.
• Willingness to ask questions and escalate when needed.
• Basic familiarity with AI, speech technology, or language data is a plus.

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.).

Onsite Perks

• Free breakfast, lunch, and dinner.
• Stocked micro‑kitchens with snacks and beverages.
• Commuter benefits, including shuttles and bike‑to‑work options.
• Unique campus features depending on location.

Why This Role

This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large‑scale systems and the opportunity to build foundational experience in data, language, and AI workflows.