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, i dentify inaccuracies and flag any discrepancies with the provided guidelines or with the presente 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 listening skills with the ability to distinguish multiple speakers
Successfully pass practice tasks within the client’s annotation tool before production work begins

Preferred background
Prior experience in transcription of long audios or other annotation data collection
Familiarity with voice assistant interactions
Previous work in reviewing tasks that involve judgment-based decisions
Previous work in report creation and error trend identification
Previous experience in linguistics or data labelling
Previous experience in Quality Assurance tasks
Comfortable using web-based tools and applying time-stamped labels to audio events.

Other Requirements
Basic computer skills
Familiarity with Microsoft Office 365 , including Outlook, Excel, and PowerPoint
General knowledge of online communication tools such as Microsoft Teams
Ability to work with audio that may include background noise or overlapping speech
Availability to complete assigned tasks within project timelines
Detail-oriented, analytical, and problem-solving mindset
Highly organized and able to work independently
Self-motivated and comfortable working as part of a remote team.

Important
This project focuses on high-precision audio event transcription, and quality will be closely monitored
Detailed instructions and training materials will be provided
IQAers must strictly follow the guidelines to maintain data accuracy and consistency.

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

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

About us
OneForma is an enterprise-grade AI Enablement platform, leveraging more than 1.8M+ users in 230+ global markets. We offer work from home opportunities in a variety of fields, in 150+ languages.

📌 Audio Transcription Quality Reviewer (Ciudad de México)
🏢 Oneforma
📍 Ciudad de México