Spanish (Mexico) Data Labeling Analyst for AI Training

Welo Data; Boston (MA); On-site; USD 33,000 - 44,000; Full time

Benefits offered by this job

Paid Vacation

Company Holidays

Sick Leave

Health Insurance

Health Savings Account

401(k)

Employee Assistance Program

Life insurance / voluntary benefits

Job summary

Welo Data is hiring Data Labeling Analysts to support speech and voice AI systems in a hands-on, production setting. You will handle audio and language data to build accurate, well-structured datasets for real-world AI models.

The role emphasizes precision, reliability, and consistency, with onsite work across major U.S. cities and a 40-hour work week. This is a paid full-time position with competitive hourly pay and comprehensive benefits.

Qualifications

• Native-level fluency in Spanish (Mexico).
• 1 year of work experience in data labeling, annotation, or content work, or a related degree.
• Strong ability to follow detailed instructions and stay consistent.
• High attention to detail and accuracy in repetitive tasks.

Responsibilities

• Evaluate AI model outputs and provide structured, high-quality feedback.
• Perform audit-based reviews of data and model behavior, identifying patterns and edge cases.
• 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) fluency

Strong written communication

Attention to detail

Ability to follow instructions

Education

Bachelor's degree or equivalent

Job description

Welo Data is hiring Data Labeling Analysts to support speech and voice AI systems in a hands-on, production setting. You will handle audio and language data to build accurate, well-structured datasets for real-world AI models.

The role emphasizes precision, reliability, and consistency, with onsite work across major U.S. cities and a 40-hour work week. This is a paid full-time position with competitive hourly pay and comprehensive benefits.