Audio Transcription Specialist

Centific Global Solutions, S.L.U; Abu Dhabi; Remote; AED 76,000 - 126,000; Full time

Job summary

OneForma is looking for remote transcription and speech annotation specialists to work on the Freya Project: Remote Podcast Transcription and Speech Annotation. You will transcribe long-form podcast recordings (30–60+ minutes) and annotate speakers, segments, and audio quality to support voice recognition models.

Applicants should have strong listening skills, attention to detail, and prior transcription experience.

Qualifications

• Strong listening skills and high attention to detail are essential.
• Prior transcription or speech annotation experience is required.
• Native or near-native fluency in Arabic (UAE) target language and locale.

Responsibilities

• 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 unclear or distorted speech, strong accents, or irrelevant language.
• Verify and correct pre-annotated speech segments when required.
• Ensure all annotations and transcripts meet quality standards.

Skills

Listening skills

Attention to detail

Transcription experience

Job description

Good with detail? Turn it into flexible remote work

Join our Freya Project: Remote Podcast Transcription and Speech Annotation

OneForma is hiring remote transcription and speech annotation specialists for a long-form audio this role you will transcribe and annotate podcast recordings to help train and evaluate voice recognition models. If you have strong listening skills, excellent attention to detail, and transcription experience, we would love to hear from you.

About the Project

This project focuses on accurately segmenting and transcribing speech within long-form audio recordings. Your work directly supports the training and evaluation of voice recognition and speech-to-text models across a wide range of languages and locales.

Purpose of the Project

The goal of this project is to accurately segment and transcribe speech within long-form audio recordings in order to train and evaluate voice recognition models.

Task Description

In this role you will analyze long-form podcast recordings of 30 to 60 minutes or more and perform high-quality transcription and speech annotation tasks following detailed project guidelines.

Key Responsibilities

• 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, and synthetic or generated audio.
• Verify and correct pre-annotated speech segments when required.
• Ensure all annotations and transcripts meet quality standards.

What We Are Looking For

• Strong listening skills and excellent attention to detail.
• Previous experience with transcription or speech annotation.
• Native or near-native fluency in the listed Arabic (UAE) target languages and locales.
• Access to a computer and a stable internet connection.

Location

This is a fully remote opportunity. You can complete all tasks from home on your own schedule, within the availability windows for each batch.

Payment

This is a paid opportunity. Compensation is calculated per hour, and the rate is set for each language and locale.

Availability and Task Duration

Tasks are released weekly on a first-come, first-served basis. Volume may vary depending on your locale and batch distribution.