Voice AI Data Labeling Specialist

Welo Data; California (MO); On-site; USD 36,000 - 39,000; Full time

Benefits offered by this job

Paid Vacation

Paid Holidays

Health Insurance

HSA

401(k)

Employee Assistance Program

Onsite Perks

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role focuses on building high-quality datasets through labeling, transcription, categorization, and tagging of audio and language data.

Ideal candidates enjoy precise, process-driven work, have strong attention to detail, and can follow guidelines consistently. The position offers full-time hours, W2 employment, and requires work authorization in the U.S.

Qualifications

• 1 year of work experience in data labeling or related content work; or a Bachelor's degree in a related field.
• Ability to follow detailed instructions and apply guidelines consistently.
• High attention to detail and ability to maintain accuracy in repetitive tasks.
• Comfort working in structured, process-driven environments.
• Willingness to ask questions and escalate when needed.

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

Finnish language

Strong written communication

Attention to detail

Ability to follow guidelines

Structured, process-driven

Time management

Education

Bachelor's degree or equivalent in related field

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This 100% onsite role focuses on building high-quality datasets through labeling, transcription, categorization, and tagging of audio and language data.

Ideal candidates enjoy precise, process-driven work, have strong attention to detail, and can follow guidelines consistently. The position offers full-time hours, W2 employment, and requires work authorization in the U.S.