Speech & Voice AI Labeling Specialist — Simplified Chinese

Welo Global; Sunnyvale (CA); On-site; USD 74,501,000 - 80,231,000; Full time

Benefits offered by this job

Paid Vacation: 6 days

Paid Holidays: 2 days

Health Insurance

401(k) Retirement Plan

Transit benefits

Job summary

Welo Data seeks detail-oriented Data Labeling Analysts to support speech and voice AI systems. This is a 100% onsite role requiring presence in the Bay Area, Seattle, NYC, or client-dependent locations, with 40 hours per week and W2 full-time employment.

You will execute high-volume labeling, follow guidelines, analyze audio and language data, and maintain data quality while meeting throughput and accuracy targets.

Qualifications

• Native-level fluency in Simplified Chinese.
• 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 ability to maintain accuracy in repetitive tasks.
• 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

Attention to detail

Strong judgment

Consistency

Fluent Chinese (Simplified)

Education

Bachelor's degree or equivalent

Job description

Welo Data seeks detail-oriented Data Labeling Analysts to support speech and voice AI systems. This is a 100% onsite role requiring presence in the Bay Area, Seattle, NYC, or client-dependent locations, with 40 hours per week and W2 full-time employment.

You will execute high-volume labeling, follow guidelines, analyze audio and language data, and maintain data quality while meeting throughput and accuracy targets.