Remote AI Trainer — Chinese Voice for Education

Ebit Co., Ltd

Kuala Lumpur

Remote

MYR 21,000 - 34,000

Part time

6 days ago
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Benefits offered by this job

Remote work
Flexible schedule

Job summary

Ebit Co., Ltd is seeking an experienced AI Trainer for its Voice Project team in a part-time remote role focused on developing and refining a Chinese-language voice AI system used in education and training. The role emphasizes data collection, annotation, and collaboration with engineers to improve model quality.

Applicants should be fluent in Chinese with strong pronunciation, detail-oriented, and able to work independently in a remote team.

Qualifications

  • Fluency in Chinese with excellent speaking and pronunciation.
  • Detail-oriented with a keen eye for quality.
  • Experience with educational content or language-learning tech is a plus.
  • Proficient in using audio editing and data annotation tools.
  • Strong communication and ability to work remotely with a team.

Responsibilities

  • Collecting, curating, and annotating high-quality audio samples for training Chinese-language AI models.
  • Providing feedback to engineering to improve accuracy and naturalness of AI voice output.
  • Collaborating with subject matter experts to align models with pedagogical best practices.
  • Conducting quality assurance tests and validating AI voice system performance.
  • Documenting processes and contributing to improvements of training workflows.

Skills

Chinese language fluency
Excellent pronunciation
Attention to detail
Strong communication

Tools

Audio editing tools
Data annotation tools

Job description

Ebit Co., Ltd is seeking an experienced AI Trainer for its Voice Project team in a part-time remote role focused on developing and refining a Chinese-language voice AI system used in education and training. The role emphasizes data collection, annotation, and collaboration with engineers to improve model quality.

Applicants should be fluent in Chinese with strong pronunciation, detail-oriented, and able to work independently in a remote team.

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