Dutch Data Labeler – Onsite AI Training Data

Welo Data; Washington (District of Columbia); On-site; USD 54,000 - 58,000; Full time

Benefits offered by this job

Paid Sick Time & Paid Holiday

Medical, Dental, and Vision Insurance

Free breakfast, lunch, and dinner

Job summary

Welo Data is seeking a Data Labeling Analyst to assist in building datasets for speech and voice AI systems. This full-time, onsite role in Washington involves executing data labeling tasks, ensuring accuracy based on detailed guidelines. Ideal candidates will be fluent in Dutch and have a background in data labeling or related fields. Benefits include paid sick time, medical insurance, and onsite perks such as free meals. This position is crucial for the development of modern AI systems.

Qualifications

• 1–2 years of experience in data labeling, annotation, or content-focused work.
• Comfort working in structured, process-driven environments.
• Basic familiarity with AI, speech technology, or language data is a plus.

Responsibilities

• Execute high-volume data labeling and annotation tasks across speech and voice datasets.
• Follow detailed guidelines for consistency, accuracy, and data integrity.
• Work with audio and language data including transcription and tagging.

Skills

Professional-level fluency in Dutch

Strong written communication skills

High attention to detail

Ability to follow detailed instructions

Job description

Welo Data is seeking a Data Labeling Analyst to assist in building datasets for speech and voice AI systems. This full-time, onsite role in Washington involves executing data labeling tasks, ensuring accuracy based on detailed guidelines. Ideal candidates will be fluent in Dutch and have a background in data labeling or related fields. Benefits include paid sick time, medical insurance, and onsite perks such as free meals. This position is crucial for the development of modern AI systems.