Speech Data Labeling Specialist for AI Training

Welo Data; Chicago (IL); On-site; USD 54,080 - 58,240; Full time

Job summary

Welo Data in the United States is seeking Data Labeling Analysts to support speech and voice AI systems. This full-time onsite role offers pay of $26-$28 per hour and requires work authorization in the U.S.

The position involves labeling, annotating, transcribing, and categorizing audio data, following precise guidelines, and ensuring data quality at scale while meeting throughput targets. You will collaborate with the team on calibrations and evolving workflows.

Qualifications

• Native-level Czech fluency is required.
• 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.

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.

Skills

Czech fluency

Strong written communication

Attention to detail

Education

Bachelor's degree or equivalent

Job description

Welo Data in the United States is seeking Data Labeling Analysts to support speech and voice AI systems. This full-time onsite role offers pay of $26-$28 per hour and requires work authorization in the U.S.

The position involves labeling, annotating, transcribing, and categorizing audio data, following precise guidelines, and ensuring data quality at scale while meeting throughput targets. You will collaborate with the team on calibrations and evolving workflows.