Portuguese Speech & Voice AI Labeling Analyst - Onsite

Localization Academy Inc.; Redmond; Vor Ort; AUD 46.000 - 66.000; Vollzeit

Benefits dieser Stelle

Paid Vacation

Paid Holidays

Paid Sick Leave

Medical Insurance

Health Savings Account

401(k) Retirement Plan

Employee Assistance Program

Voluntary benefits

Zusammenfassung

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This is a high-volume, production role focused on building datasets that power real-world AI.

You will work with audio, speech, and language data—ensuring inputs are accurate, well-structured, and representative. The position is 100% onsite and requires you to be located in or able to commute to one of the eligible cities in the Bay Area and beyond.

Qualifikationen

• Native-level fluency in Portuguese (Brazil).
• 1 year of work experience in data labeling, annotation, or related field, or a Bachelor's degree/equivalent in a related field.
• Ability to follow detailed instructions with consistent accuracy.
• Strong attention to detail and capability to maintain accuracy in repetitive tasks.

Aufgaben

• 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.

Kenntnisse

Native-level fluency in Portuguese (B​

Ausbildung

Bachelor's degree or equivalent

Jobbeschreibung

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This is a high-volume, production role focused on building datasets that power real-world AI.

You will work with audio, speech, and language data—ensuring inputs are accurate, well-structured, and representative. The position is 100% onsite and requires you to be located in or able to commute to one of the eligible cities in the Bay Area and beyond.