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Apus: Audio Transcription Verifier Portuguese (Portugal)

Job Overview

Location

Porto, Portugal

Job Type

Full-time

Category

Other

Date Posted

May 23, 2026

Full Job Description

đź“‹ Description

  • • Review short audio clips (approximately 5 seconds) to verify transcription accuracy for a high-profile AI training data project partnered with a leading global voice AI platform.
  • • Approve transcriptions that fully comply with quality guidelines or reject those with errors, providing clear, actionable feedback for correction.
  • • Identify and correct inaccuracies in punctuation, capitalization, formatting, and adherence to specified style guides for Portuguese (Portugal).
  • • Ensure transcriptions reflect natural spoken language while maintaining grammatical correctness and contextual fidelity.
  • • Collaborate with Analysts by offering constructive feedback to improve transcription quality and consistency across the dataset.
  • • Flag recurring transcription errors, patterned deviations, or ambiguous audio cases to the project lead for process improvement and guideline refinement.
  • • Work within strict quality benchmarks to maintain high standards of data integrity critical for training AI speech recognition models.
  • • Follow detailed project documentation and guidelines provided by the client to ensure uniformity in annotation and verification practices.
  • • Maintain consistent output quality across all assigned tasks, even under time constraints, to support rapid iteration of AI training datasets.
  • • Participate in periodic quality calibration sessions or briefings to align with evolving project requirements and updated annotation standards.
  • • Manage workload efficiently within a 10–20 hour weekly commitment over a 6-week project duration, with potential for extension based on performance and need.
  • • Work independently with minimal supervision while adhering to deadlines and quality thresholds established by the project team.
  • • Ensure all verified transcriptions are submitted through designated platforms with proper metadata and tagging as required.
  • • Maintain confidentiality of all audio content and transcriptions, treating them as sensitive proprietary data.
  • • Demonstrate strong attention to detail, linguistic precision, and cultural fluency in European Portuguese to accurately capture nuances in speech.
  • • Adapt quickly to new guidelines, style updates, or tool changes introduced during the project lifecycle.

🎯 Requirements

  • • Native or near-native fluency in European Portuguese (Portugal)
  • • Proven experience in audio transcription verification, linguistic annotation, or quality assurance for AI training data
  • • Strong command of Portuguese grammar, punctuation, and style conventions
  • • Reliable internet connection and quiet workspace for accurate audio review
  • • Ability to work independently and meet strict quality and deadline standards
  • • Availability to commit 10–20 hours per week for a 6-week period (with possible extension)

🏖️ Benefits

  • • Competitive pay rate of $33/hour
  • • Flexible freelance schedule within 10–20 hours per week
  • • Opportunity to contribute to a high-impact AI training project with a global leader in voice technology
  • • Potential for project extension based on performance and ongoing needs

Skills & Technologies

Remote

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About WeLoglobal Inc.

WeLoglobal is a technology company specializing in providing innovative logistics and supply chain solutions. Their platform leverages advanced analytics, AI, and automation to optimize transportation, warehousing, and inventory management for businesses across various industries. WeLoglobal aims to enhance efficiency, reduce costs, and improve visibility throughout the supply chain. They offer services such as freight management, last-mile delivery optimization, and real-time tracking, enabling clients to streamline their operations and meet customer demands more effectively. The company focuses on digital transformation within the logistics sector, making complex supply chains more manageable and responsive.

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