Freya - Transcription - English (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.

Native in Englsh (India) and English (spoken and written)

• Ability to understand Englsh (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

• 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