Onsite Speech & Voice AI Data Labeling Analyst

Localization Academy Inc.; Redmond; On-site; AUD 48,000 - 68,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Health Insurance

401(k) Retirement Plan

Employee Assistance Program

Job summary

Welocalize is seeking Data Labeling Analysts for a 100% onsite Speech & Voice AI Analyst role in the United States. The position requires meticulous data work on audio, language data, and transcription tasks, with strict adherence to guidelines and high accuracy standards.

Ideal candidates will have German language fluency, strong written communication, and a track record in data labeling or related fields.

Qualifications

• Native-level fluency in German.
• Strong written communication skills and language fundamentals.
• 1 year of work experience in data labeling, annotation, or related content work; or a Bachelor's degree in a related field.
• Ability to follow detailed instructions and apply guidelines consistently.
• High attention to detail and accuracy in repetitive tasks.
• Familiarity with AI, speech technology, or language data is a plus.

Responsibilities

• Execute high-volume data labeling and annotation tasks across speech and language 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 high throughput while meeting quality expectations.
• Escalate unclear or ambiguous cases promptly.
• Adapt to evolving guidelines and workflows as systems change.
• Support baseline data production needs for AI training pipelines.
• Contribute to team calibrations and quality alignment sessions.

Skills

German fluency

Attention to detail

Written communication

Education

Bachelor's degree or equivalent (related field)

Job description

Welocalize is seeking Data Labeling Analysts for a 100% onsite Speech & Voice AI Analyst role in the United States. The position requires meticulous data work on audio, language data, and transcription tasks, with strict adherence to guidelines and high accuracy standards.

Ideal candidates will have German language fluency, strong written communication, and a track record in data labeling or related fields.