Data Sourcing Specialist 16863

9 hours ago

pasig, metro manila, Philippines Remote Staff, Inc. Full-time

Why Choose Remote Staff?

  • 100% Work from Home. No office-based setups. Manage your time efficiently and enjoy work-life balance.
  • 17+ years in the remote work industry. We’ve helped more than 8K Filipinos establish virtual careers with international clients since 2007.
  • Competitive and negotiable compensation (depending on skill level & experience)
  • 100% coverage on Government Contributions Remittance* to SSS, Philhealth and Pag-ibig. Traditional employment set-ups cover only 50%, while you shoulder the other half as a salary deduction.
  • *Terms and conditions apply.

Reminders

  • Applying to Remote Staff is 100% FREE.
  • Processing your application is 100% FREE.
  • We will NEVER ask for placement fees, bank details, GCash accounts, training fees, reservation fees, or any form of payment

Key Responsibilities

1. Audio Data Sourcing & Research

  • Research and identify potential sources of audio datasets relevant to the company's AI research requirements.
  • Explore various online platforms, public repositories, websites, and other accessible sources to discover new audio data.
  • Independently develop creative approaches and strategies for finding additional audio datasets.
  • Evaluate potential data sources based on relevance, quality, accessibility, and suitability for project requirements.
  • Maintain organized records and documentation of identified datasets, sources, and research findings.
  • Proactively recommend new sources and alternative research methods to expand available datasets.

2. Audio Data Labeling & Annotation

  • Listen to audio recordings and accurately label, categorize, and annotate content based on project guidelines.
  • Demonstrate strong English listening comprehension to understand spoken content, context, and audio characteristics.
  • Identify relevant information, patterns, and inconsistencies within audio files.
  • Ensure labels and annotations are consistent, accurate, and aligned with established standard.

3. Data Validation & Quality Assurance

  • Review and validate sourced and labeled datasets to ensure accuracy, completeness, and consistency.
  • Identify errors, duplicates, irrelevant entries, and inconsistencies in collected data.
  • Conduct quality checks on audio files and supporting documentation.
  • Follow established quality assurance procedures and provide feedback on potential improvements.

4. Documentation & Project Coordination

  • Maintain accurate records of research activities, data sources, labeling progress, and validation results.
  • Organize datasets using spreadsheets and other designated project management tools.
  • Provide regular progress updates to the research team.
  • Collaborate with the team to clarify project requirements and address data-related challenges.
  • Follow project instructions, onboarding materials, and training guidelines.

Qualifications & Requirements

  • Excellent English listening comprehension and the ability to accurately understand spoken English.
  • Strong research and online information-gathering skills.
  • Demonstrated ability to identify, evaluate, and source information from different online platforms.
  • Resourceful, curious, and creative in exploring new ways to find relevant datasets.
  • Strong analytical and critical‑thinking skills.
  • Excellent attention to detail, particularly when handling and validating data.
  • Ability to work independently, take initiative, and manage assigned tasks with minimal supervision.
  • Good organizational, documentation, and time‑management skills.
  • Comfortable working with spreadsheets, online research tools, and web‑based platforms.

Preferred Qualifications

  • Bachelor's degree or relevant educational background in Computer Science, Information Technology, Data Science, Software Development, or a related technical field.
  • Basic understanding of programming, coding, or technical concepts.
  • Previous experience in data sourcing, data annotation, audio transcription, data labeling, research, or data validation.
  • Familiarity with audio datasets, AI/ML projects, machine learning, or artificial intelligence res