Voice AI Data Labeling Specialist

Welo Data; California (MO); On-site; USD 54,000 - 58,000; Full time

Benefits offered by this job

Free breakfast, lunch, and dinner

Stocked micro-kitchens with snacks

Commuter benefits

Unique campus features

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to join our onsite Bay Area/other client locations team. You will label and annotate speech and language data, following strict guidelines to ensure accuracy and data integrity.

Responsibilities include transcription, categorization, and tagging, maintaining high throughput while upholding quality. Fluency in German, plus strong communication and process discipline, are required for effective collaboration on AI training pipelines.

Qualifications

• Demonstrates strong attention to detail and accuracy in repetitive tasks.
• Shows ability to apply guidelines consistently across datasets.
• Ability to manage time and maintain steady output.
• Comfort with following detailed instructions and evolving workflows.

Responsibilities

• Execute high-volume data labeling and annotation tasks across speech and language data.
• Follow detailed guidelines to ensure consistency and data integrity.
• Work with audio data including transcription, categorization, and tagging.
• Maintain throughput while meeting quality expectations.
• 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

Attention to detail

Strong judgment

Consistency

Follow detailed instructions

Time management

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to join our onsite Bay Area/other client locations team. You will label and annotate speech and language data, following strict guidelines to ensure accuracy and data integrity.

Responsibilities include transcription, categorization, and tagging, maintaining high throughput while upholding quality. Fluency in German, plus strong communication and process discipline, are required for effective collaboration on AI training pipelines.