Spanish MX Data Labeler — Speech & Voice AI (Onsite)

Welo Data; Washington; On-site; USD 36,000 - 44,000; Full time

Benefits offered by this job

Paid vacation

Paid holidays

Sick leave

Health insurance

HSA

401(k)

Employee assistance

Job summary

Welo Data is seeking Data Labeling Analysts to support speech and voice AI systems, focusing on creating high-quality labeled data in Spanish (Mexico). This 100% onsite role requires strong attention to detail and reliable execution within structured workflows across multiple U.S.

cities. Candidates should have at least 1 year of labeling experience or a related degree and be comfortable contributing to evaluation frameworks and cross-functional collaboration.

Qualifications

• Spanish (Mexico) language fluency required.
• Strong written communication and language fundamentals.
• 1 year of data labeling or related work, or a bachelor’s degree.
• Ability to follow detailed instructions and maintain accuracy.
• Comfort in structured, process-driven environments.

Responsibilities

• Evaluate AI model outputs and provide structured, high-quality feedback.
• Perform audit-based reviews of data and model behavior—identifying patterns, edge cases, and failure modes.
• Apply guidelines thoughtfully and flag when they don’t reflect real-world scenarios.
• Contribute to improving evaluation frameworks, not just executing them.
• Identify trends in model performance and communicate insights clearly.
• Participate in team discussions, calibrations, and stakeholder syncs.
• Partner with leads and cross-functional teams to refine quality standards.
• Document findings in a clear, concise, and actionable way.

Skills

Spanish (Mexico) language

Attention to detail

Strong written communication

Time management

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking Data Labeling Analysts to support speech and voice AI systems, focusing on creating high-quality labeled data in Spanish (Mexico). This 100% onsite role requires strong attention to detail and reliable execution within structured workflows across multiple U.S.

cities. Candidates should have at least 1 year of labeling experience or a related degree and be comfortable contributing to evaluation frameworks and cross-functional collaboration.