Project Perseus | Speech & Voice AI Analyst - French Speakers

Welo Global (weloglobal.com) · California · First seen 2026-11-05

Apply on company site View on the company's hiring page (jobs.lever.co)

Posted by Welo Global on the hiring system it uses for its careers page; applications go straight to the company.

Can I apply?

  • Full-time
  • On-site
  • Work permit not stated
  • $28 USD/hr
From the posting
employment types
ATS employment type: full_time
workplace
ATS workplace type: onsite
locations
ATS location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
salary
ATS pay range: 28–28 USD per hour

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 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: Speech & Voice Ai 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: $28/hour

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: NYC, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.

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 French

- 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.)

Onsite Perks (where applicable): 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

Seen on