Project: Freya Audio Transcription Quality Reviewer (Spanish- Mexico /es-MX)
Location: Remote
Commitment: Maximum 10 billable hours per day
About the Job
We are looking for detail-oriented individuals to join our speech recognition project in our Independent QA team (IQA) to supervise and assess the work of large-scale audio transcription projects.
In this role, you will analyze long-form podcast recordings (30–60+ 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.
Your primary responsibility as QAer for this project will be to review and evaluate the work of annotators working on the above tasks, identify inaccuracies and flag any discrepancies with the provided guidelines or with the vigente content being transcribed. Therefore, accuracy, consistency and linguistic precision are critical to the success of this workflow.
Key Responsibilities
Review transcriptions of 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
Qualifications
Proficient in Spanish(Mexico) (spoken and written)
High level of written English to understand guidelines and provide the required reports and summaries
Strong listening comprehension and attention to detail
Familiarity with regional speech patterns, accents and language variants
Accuracy in identifying conversational flow and intent boundaries
Excellent attention to detail and ability to follow structured linguistic and technical guidelines
Strong analytical and