Apus: Audio Annotation Verifier Spanish (Colombia)
Welo GlobalOverview
Welo Data is looking for experienced quality reviewers to join a high-profile AI training data project in collaboration with one of the world’s leading voice AI platforms. As a Verifier, you will play a critical role in shaping the way AI understands and interacts with people globally by ensuring transcription accuracy and compliance with quality standards.
What You Will Do
- Review short audio transcriptions (~5 seconds) for accuracy and adherence to guidelines.
- Approve accurate transcriptions or reject those requiring correction with clear, actionable feedback.
- Identify and correct errors in punctuation, formatting, and style-guide application.
- Support Analysts through constructive feedback to enhance overall quality.
- Flag recurring issues to the project lead for resolution.
Project Details
Requirements
- Native or near-native fluency in target locale - Spanish.
- Language Skills: Exceptional written skills with expert-level command of grammar, punctuation, and style
- Experience: Prior experience in quality review, editing, transcription QA, or related fields.
- Attention to Detail: Strong critical eye for subtle errors in formatting and adherence to guidelines.
- Technical Setup: A reliable computer, high-quality headphones, and stable internet connection.
- Constructive Feedback Skills: Ability to provide clear, professional written feedback.
- Commitment to Learning: Familiarity with annotation or linguistic QA tools is advantageous but not required.
- Availability to commit 10–20 hours per week for up to 6 weeks.
Why Join Us?
By joining Welo Data, you’ll contribute to impactful and culturally relevant AI solutions while enhancing your expertise in quality review and transcription.
Why Join Welo Data?
✨ Limitless Flexibility
Opens the company's application page
Listed via
Himalayas
himalayas.app
Similar roles
Design & Tech
Related reads from TCHNX

The Quiet Death of Skeuomorphism's Evil Twin: Why Brutalist UI Is Finally Fading
After years of deliberately harsh interfaces, designers are rediscovering nuance. The shift signals a maturation in how we think about rebellion, accessibility, and digital craft.

The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.

The Quiet Revolution in Local-First Software
As major platforms face outages and data breaches, a new generation of developers is building applications that prioritise local data storage and peer-to-peer sync, challenging the cloud-first orthodoxy that's dominated tech for two decades.
