Data Transcriber (Kogi)

About this role

The Data Transcriber role is part of a qualitative fieldwork team for an embedded implementation study in Kogi state, linked to immunisation and malaria prevention activities. The position involves producing accurate, de-identified transcripts of interviews and focus group discussions, and where needed translating local language interviews into English while preserving meaning. The study is run by Malaria Consortium with oversight from the Lead Qualitative Research Consultant, and is conducted across selected LGAs in Kogi. Transcribers work alongside researchers to ensure transcripts align with approved procedures, confidentiality requirements and study timelines. The work supports state-level qualitative data collection and coordination with MC, state programme managers and authorities. The assignment is field-based and follows MC-approved sampling, consent and data governance procedures.

What you would do

• Transcribe audio recordings verbatim according to approved procedures.
• Translate interviews from local languages into English when required, preserving meaning.
• Identify and report technical issues with recordings to the supervisor.
• Use approved speaker identifiers to distinguish speakers in transcripts.
• Flag inaudible or unclear sections rather than guessing content.
• Review transcripts against audio to correct errors.
• Ensure secure storage of audio files and transcripts and restrict access to authorised personnel.
• Anonymise personal data in transcripts per confidentiality procedures.
• Include relevant non-verbal or contextual details where identifiable and important.
• Submit transcripts within the required timeframe and in the specified format.

What they are asking for

• Experience or demonstrated ability in transcription and translation of qualitative data.
• Ability to maintain confidentiality and handle sensitive information.
• Familiarity with data security and ethical requirements in field research.
• Attention to detail and accuracy in transcription and translation.
• Ability to work with audio recordings and transcribers in a team setting.
• Understanding of speaker identification and anonymisation practices.

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