Onsite Speech Data Labeling Analyst (Polish)

Welocalize, Inc.; Burlingame (CA); On-site; USD 39,000 - 44,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Medical, Dental, Vision Insurance

401(k) Retirement Plan

HSA

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This on-site, full-time role focuses on high-volume labeling and annotation of audio and language data, ensuring accuracy and consistency across datasets.

You will work with structured guidelines to maintain data integrity and adapt to evolving workflows. Ideal candidates have native Polish proficiency, strong written communication, and meticulous attention to detail.

Qualifications

• Native-level fluency in Polish.
• Strong written communication and attention to detail.
• 1 year of work experience in data labeling, annotation, or related work, or a Bachelor's degree in a related field.

Responsibilities

• Execute high-volume data labeling and annotation tasks for speech and voice datasets.
• Follow 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 cases and adapt to evolving guidelines and workflows.
• Support data production needs for AI training pipelines.

Skills

Polish fluency

Attention to detail

Written communication

Time management

Data labeling experience

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This on-site, full-time role focuses on high-volume labeling and annotation of audio and language data, ensuring accuracy and consistency across datasets.

You will work with structured guidelines to maintain data integrity and adapt to evolving workflows. Ideal candidates have native Polish proficiency, strong written communication, and meticulous attention to detail.