Remote Mandarin Transcription for AI Data

Alignerr Corp.; United States; Remote; USD 28,000 - 62,000; Part time

Job summary

Labelbox is seeking Mandarin transcription contractors to transcribe audio accurately and edit transcripts to meet guidelines, with fully remote and asynchronous work. This role is hourly and at-will, with a minimum of 15 hours per week and rolling start as projects launch.

You will review AI-generated transcriptions for correctness, punctuation, and readability, and provide feedback to improve models. Strong attention to detail and language skills are essential.

Qualifications

• Enrolled in or completed a Bachelor's degree or higher.
• Experience in transcription, editing, proofreading, or language-focused fields.
• Access to reliable audio playback equipment and a quiet workspace.
• Strong ability to produce accurate, detailed, and consistent transcriptions.
• Excellent attention to detail when reviewing spelling, grammar, and formatting.
• Interest in AI, natural language processing, and speech-to-text technology.
• Bonus: Experience with data labeling, RLHF, or other AI training projects.

Responsibilities

• Transcribe audio recordings accurately according to provided guidelines and formatting standards.
• Review and edit transcripts for accuracy, grammar, and consistency.
• Evaluate AI-generated transcriptions for correctness, punctuation, and readability.
• Provide constructive feedback to improve AI transcription quality and language models.

Skills

Transcription

Editing

Proofreading

Attention to detail

AI interest

Education

Bachelor's degree

Tools

Audio playback equipment

Job description

Labelbox is seeking Mandarin transcription contractors to transcribe audio accurately and edit transcripts to meet guidelines, with fully remote and asynchronous work. This role is hourly and at-will, with a minimum of 15 hours per week and rolling start as projects launch.

You will review AI-generated transcriptions for correctness, punctuation, and readability, and provide feedback to improve models. Strong attention to detail and language skills are essential.