Freya - Transcription - Hindi (India)

Role & responsibilities

We are looking for detail-oriented individuals to join our speech recognition project.

In this role, you will analyze long-form podcast recordings (3060+ minutes) and perform high-quality transcription and speech annotation tasks. If you have strong listening skills, excellent attention to detail, and experience with transcription, we'd love to hear from you.

• Transcribe long-form podcast recordings accurately following project guidelines.
• Identify different speakers and assign consistent speaker labels.
• Segment speech with accurate timestamps.
• Identify the perceived gender of speakers.
• Review audio quality and flag issues such as:
• Unclear or distorted speech
• Strong accents
• Incorrect language
• Synthetic or generated audio
• Verify and correct pre-annotated speech segments when required.
• Ensure all annotations and transcripts meet quality standards. 

Preferred candidate profile

• Native in Hindi (India) and English (spoken and written)
• Ability to understand Hindi (India) and English
• Transcription of long audios is preferred
• Strong listening comprehension and attention to detail
• Familiarity with voice assistant interactions (preferred)
• Accuracy in identifying conversational flow and intent boundaries

Working Hours & Tracking:

• Maximum 10 billable hours per day
• Time beyond 10 hours/day is non-billable
• Time tracking must be done via the assigned task platform
• Inactive time must remain under 10% of total working time
• Tasks are released weekly on a first-come, first-served basis
• Volume may vary depending on locale and batch distribution

If you enjoy listening to audio, have strong language skills, and pay close attention to detail, we'd love to hear from you. Apply today and be part of an exciting AI project!