Czech Speaker-Data Labeling Analyst
About The Position
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a full-time, W2 employee position requiring onsite work in the Bay Area, Seattle, or NYC, with a pay rate of $26-$28/hour. The role involves executing high-volume data labeling and annotation tasks for speech and voice datasets, ensuring consistency and accuracy by following detailed guidelines. Responsibilities include working with audio and language data, maintaining throughput and quality, escalating issues, adapting to changes, and supporting AI training pipelines.
Requirements
- Native-level fluency in Czech
- 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 academic qualification in a related field.
- Ability to follow detailed instructions and apply guidelines consistently
- Must be authorized to work in the U.S. (no visa sponsorship)
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
