Spanish (Mexico) Speech & Voice AI Data Labeler

Welocalize, Inc.; Sunnyvale (CA); On-site; USD 56,000 - 64,000; Full time

Benefits offered by this job

Paid vacation

Holidays

Health Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Onsite meals

Job summary

Welo Data is seeking Data Labeling Analysts to support speech and voice AI systems and help build datasets used for real-world AI models. You will handle audio and language data, ensuring labels are accurate, consistent, and well-structured across large-scale annotation projects.

This is an onsite, full-time position with 40 hours per week, requiring US work authorization. The role offers an hourly rate of $28 and requires candidates to be located in or able to commute to listed cities such as

Qualifications

• Native-level fluency in Spanish (Mexico).
• 1 year of data labeling, annotation, or related work; or a Bachelor's degree.
• Ability to follow detailed instructions and maintain accuracy in repetitive tasks.

Responsibilities

• 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.

Skills

Spanish (Mexico) fluency

Written communication

Attention to detail

Time management

Follow guidelines

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking Data Labeling Analysts to support speech and voice AI systems and help build datasets used for real-world AI models. You will handle audio and language data, ensuring labels are accurate, consistent, and well-structured across large-scale annotation projects.

This is an onsite, full-time position with 40 hours per week, requiring US work authorization. The role offers an hourly rate of $28 and requires candidates to be located in or able to commute to listed cities such as