Korean Speech Data Labeling Specialist (Onsite)

Welo Global; Sunnyvale (CA); On-site; USD 36,000 - 39,000; Full time

Benefits offered by this job

Paid Vacation

Paid Holidays

Paid Sick Leave

Health Insurance

Health Savings Account

401(k)

Employee Assistance

Voluntary benefits

Free meals

Snacks & drinks

Commuter benefits

Campus features

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to join our Bay Area team to support speech and voice AI systems. This is a high-impact, onsite production role working with audio, transcription, and language data to build accurate, well-structured datasets.

Candidates should have Korean language fluency, strong attention to detail, and either one year of labeling experience or a related degree. This role requires full-time, 40 hours per week, with $26–$28 per hour on a W2 basis.

Qualifications

• Native-level fluency in Korean.
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent in a related field.
• Ability to follow detailed instructions and apply guidelines consistently.
• High attention to detail and accuracy in repetitive tasks.
• Comfort working in structured, process-driven environments.
• Ability to manage time effectively and maintain steady output.
• Willingness to ask questions and escalate when needed.
• 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 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

Korean fluency

Attention to detail

Strong written communication

1 year labeling experience

Education

Bachelor's degree or equivalent

Job description

Welo Data is seeking detail-oriented Data Labeling Analysts to join our Bay Area team to support speech and voice AI systems. This is a high-impact, onsite production role working with audio, transcription, and language data to build accurate, well-structured datasets.

Candidates should have Korean language fluency, strong attention to detail, and either one year of labeling experience or a related degree. This role requires full-time, 40 hours per week, with $26–$28 per hour on a W2 basis.