Danish Speech Data Labeler - Onsite AI Training Data

Welo Data; United States; On-site; USD 36,000 - 39,000; Full time

Benefits offered by this job

Paid Sick Time & Paid Holidays

Medical, Dental, Vision Insurance

401(k) Retirement Plan

HSA

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts for an on-site role in Washington State. You will label and annotate speech and language data, ensuring accuracy and consistency across high-volume tasks.

The position requires reliability, strong judgment, and the ability to follow established guidelines in a fast-paced environment. This 100% onsite role supports AI training pipelines and involves collaboration with teammates to calibrate quality.

Qualifications

• Professional-level fluency in Danish.
• Strong written communication skills and language fundamentals.
• 1–2 years of experience in data labeling, annotation, or content-focused work.

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

Danish fluency

Strong written communication

Attention to detail

Ability to follow guidelines

Time management

Escalation when needed

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts for an on-site role in Washington State. You will label and annotate speech and language data, ensuring accuracy and consistency across high-volume tasks.

The position requires reliability, strong judgment, and the ability to follow established guidelines in a fast-paced environment. This 100% onsite role supports AI training pipelines and involves collaboration with teammates to calibrate quality.