Spanish Data Labeler (Mexico) — Onsite AI Labeling Pro

Welocalize, Inc.; California; On-site; USD 58,000 - 66,000; Full time

Benefits offered by this job

Paid Vacation

Paid Holidays

Sick Leave

Medical Insurance

Dental Insurance

Vision Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Voluntary benefits

Free breakfast/lunch/dinner

Commuter benefits

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This high-impact, onsite role focuses on building datasets that power real-world AI, working with audio, speech, and language data to ensure models are trained on accurate, well-structured inputs.

Candidates must be located in or near the Bay Area, Seattle, NYC, or other client sites for 100% onsite work. The position is full-time (40 hours/week) with a pay rate of $28/hour.

Qualifications

• 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 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.

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) fluency

Attention to detail

Strong written communication

Follow detailed instructions

Time management

Questioning when needed

AI familiarity (plus)

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This high-impact, onsite role focuses on building datasets that power real-world AI, working with audio, speech, and language data to ensure models are trained on accurate, well-structured inputs.

Candidates must be located in or near the Bay Area, Seattle, NYC, or other client sites for 100% onsite work. The position is full-time (40 hours/week) with a pay rate of $28/hour.