Project Perseus | Speech & Voice AI Analyst - Italian Speakers
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 be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
- Job Title: Data Labeling Analyst
- Hiring in: 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: $26 - $28/hour
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
- Native-level fluency in Italian
- Strong written communication skills and language fundamentals
- 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
- 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 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 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
As published by lever
Which location are you applying for?, Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Other website
- Do you hold work authorization for the US? choose one · optional
- What type of work authorization do you have? written answer
- In what country were you born? choose one · optional
- In what country do you currently live? choose one · optional
- How many years have you lived in your current country? (Please choose one) yes / no · optional
- Which U.S. State are you currently based in? choose one · optional
- Do you have native-level proficiency in U.S. English (written and verbal)? choose one
- Are you available to work full-time (40 hours/week)? choose one
- Describe your experience creating prompts and responses for AI/LLM systems. What types of tasks or domains have you worked on? written answer
- Have you contributed to data labeling or annotation projects? Please describe your role and scope. written answer
- What tools or platforms have you used for data annotation, QA, or LLM-related work? written answer
- Do you have a degree or equivalent experience in Linguistics, English Literature, Creative Writing, Journalism, or a related field? Please specify which one, or reply “No” if you don’t. written answer
- This position is 100% on-site with no possibility for remote work. Are you available to work on-site and able to commute to one of our offices in Washington/California/New York/Texas/District of Columbia/Illinois/Massachusetts? yes / no · optional
- Which one of these offices is closer to you? yes / no · optional