Onsite Data Labeler - Spanish (Spain)

Welocalize, Inc.; Boston (MA); On-site; USD 33,000 - 44,000; Full time

Benefits offered by this job

Paid Vacation

Paid Company Holidays

Paid Sick Leave

Medical Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Additional voluntary benefits

Free onsite meals (where applicable)

Commuter benefits

Shuttles and bike-to-work

Unique campus features

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This high-impact production 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.

The role emphasizes judgment, consistency, and speed in repetitive tasks, with onsite work in multiple U.S. locations.

Qualifications

• Native-level fluency in Spanish (Spain).
• 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.
• Strong written communication skills and language fundamentals.

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 (Spain)

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 production 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.

The role emphasizes judgment, consistency, and speed in repetitive tasks, with onsite work in multiple U.S. locations.