Project Perseus | Speech & Voice AI Analyst - Spanish 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 (Speech & Voice AI)

• 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)

• Hourly 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, Seattle, 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 Spanish (Mexico)

• 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