50,000 to 60,000 PHP jobs in Remote

JO 16863 | Data Sourcing & Data Labeling Specialist

Job Status: Full-Time / 40 Hours / Week
Work Schedule: Monday to Friday | 8:00 AM to 5:00 PM PST or 5:00 PM to 2:00 AM PHT

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 standards.

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 research.
• Experience using online databases, public data repositories, and digital research tools.

Ideal Candidate Profile
The ideal candidate is not simply someone who can follow instructions and label audio files. The client is looking for an independent and intellectually curious individual who enjoys research, problem-solving, and discovering new information.
The successful candidate should be comfortable taking ownership of data sourcing activities, exploring unconventional research approaches, identifying new datasets, and ensuring that collected information meets the required quality standards.

Key Attributes:

• Research-oriented and naturally curious
• Resourceful and solution-driven
• Strong English listening comprehension
• Detail-oriented and quality-conscious
• Technically inclined and willing to learn
• Independent, proactive, and adaptable
• Comfortable working in an AI research environment

Success Indicators
Performance in this role will be evaluated based on:

• Ability to consistently identify and source relevant new audio datasets.
• Quality, accuracy, and completeness of labeled and validated data.
• Effectiveness in researching and exploring alternative data sources.
• Initiative and independence in resolving sourcing challenges.
• Consistency in meeting project deliverables and timelines.
• Ability to follow project guidelines while suggesting improvements to existing processes.

Note: Please prepare your Government IDs (TIN, SSS, Philhealth, Pag-ibig) as part of the application and placement process. In the event of placement to a contract with a client, you will be required to submit a copy of your BIR 2303 (Certificate of Registration) as part of compliance with government regulations.

Pay: Php30,000.00 - Php50,000.00 per month

Application Question(s):

• Excellent English listening comprehension and the ability to accurately understand spoken English.

Education:

• Bachelor's (Preferred)

Experience:

• Data Annotation: 3 years (Required)
• Data Labeling: 3 years (Required)

Work Location: Remote