Czech Data Labeling Analyst – Onsite AI Training Data

Welo Data; New York (NY); On-site; USD 54,000 - 58,000; Full time

Benefits offered by this job

Paid Sick Time & Holiday

Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Free meals on site

Job summary

Welo Data is seeking Data Labeling Analysts to join their team in New York City. This full-time role involves working with audio, speech, and language data to support the development of AI systems. Candidates should possess native-level fluency in Czech, have 1-2 years of relevant experience, and be detail-oriented. Responsibilities include ensuring data accuracy and following structured guidelines. The position is onsite only, with multiple locations available including NYC, Seattle, and San Francisco, and offers comprehensive benefits including health insurance and paid time off.

Qualifications

• 1-2 years of experience in data labeling, annotation, or content-focused work.
• Ability to follow detailed instructions and apply guidelines consistently.
• Basic familiarity with AI, speech technology, or language data is a plus.

Responsibilities

• Support speech and voice AI systems by building datasets.
• Ensure models are trained on accurate, well-structured, and representative inputs.
• Work in structured, process-driven environments.

Skills

Native-level fluency in Czech

Strong written communication skills

High attention to detail

Time Management

Job description

Welo Data is seeking Data Labeling Analysts to join their team in New York City. This full-time role involves working with audio, speech, and language data to support the development of AI systems. Candidates should possess native-level fluency in Czech, have 1-2 years of relevant experience, and be detail-oriented. Responsibilities include ensuring data accuracy and following structured guidelines. The position is onsite only, with multiple locations available including NYC, Seattle, and San Francisco, and offers comprehensive benefits including health insurance and paid time off.