Turkish Speech Data Labeling Analyst (Onsite)

Welo Data; San Francisco (CA); Presencial; USD 63.000 - 77.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Commuter benefits

Descripción de la vacante

Welo Data in San Francisco, CA is seeking a Data Labeling Analyst fluent in Turkish to support speech and voice AI systems. This on-site role involves high-volume labeling, transcription, and tagging of audio-language data, with strict adherence to guidelines and quality standards.

Ideal candidates have native Turkish proficiency, strong attention to detail, and at least 1 year of labeling experience or a related degree.

Formación

• 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.
• Operating guidelines to ensure consistency and accuracy in labeling tasks.

Responsabilidades

• 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 high throughput while meeting quality expectations.
• Escalate unclear or ambiguous cases appropriately.

Conocimientos

Turkish (native)

Attention to detail

Data labeling

Educación

Bachelor's degree or equivalent in related field

Descripción del empleo

Welo Data in San Francisco, CA is seeking a Data Labeling Analyst fluent in Turkish to support speech and voice AI systems. This on-site role involves high-volume labeling, transcription, and tagging of audio-language data, with strict adherence to guidelines and quality standards.

Ideal candidates have native Turkish proficiency, strong attention to detail, and at least 1 year of labeling experience or a related degree.