About Perle
Join Perle as an Expert Audio Transcriber (Tagalog/Filipino) and play a vital role in shaping the future of AI.
At Perle, we build AI infrastructure powering leading labs and enterprises, including xAI, Samsung, ELM, and Unisys. We specialize in expert-driven training data, evaluation systems, and applied AI products that require real human judgment, linguistic nuance, and cultural fidelity.
If you possess native-level fluency in Tagalog and a passion for linguistic precision, we invite you to contribute your expertise to innovative AI projects.
Role Overview
As an Expert Audio Transcriber, you will convert audio recordings of native Tagalog speakers into precise, conventionally formatted written transcripts. Your work will directly impact the quality of speech recognition, dialogue systems, and AI evaluation products used by major AI labs.
You will work with diverse audio sources ranging from clean studio recordings to natural conversations in real-world settings, applying expert linguistic judgment to ensure exceptional transcription accuracy and consistency.
Scope of Work
- Focus on Tagalog and Filipino as spoken across Luzon and Metro Manila, including Taglish (natural Tagalog-English code-switching)
- Audio reflects everyday conversational speech, slang, and regional variations across Tagalog-speaking provinces
- Primary speaker regions include Metro Manila, Luzon, Cavite, Laguna, Batangas, and Bulacan
Key Responsibilities
- Transcribe audio recordings into accurate, time-aligned written text following Perle’s project-specific style guides
- Apply correct conventions for speaker identification, overlapping speech, disfluencies, fillers, false starts, and non-speech events
- Make principled orthographic decisions for dialectal, colloquial, and code-switched speech
- Flag ambiguous segments, uncertain speakers, and audio quality issues using project conventions
- Self-review all submissions against Perle’s quality standards before delivery
- Collaborate with QA reviewers on calibration sessions, edge cases, and style guide updates
Required Qualifications - Must-have Requirements
- Native fluency in Tagalog with lifelong residence or deep immersion in the Philippines
- Strong working English proficiency to accurately handle Taglish code-switching
- Mastery of current Filipino orthography under the Komisyon sa Wikang Filipino guidelines
- Familiarity with regional Tagalog accents and contemporary slang
- At least 2 years of professional transcription experience
- Experience in captioning, court reporting, broadcast, translation, or linguistic annotation
- Demonstrated word-level accuracy under deadline pressure
- Comfortable using web-based annotation platforms
- Comfortable working with variable-speed audio playback tools
- Reliable high-speed internet connection
- Quality headphones and a quiet working environment
- Ability to commit to a defined weekly workload during active project phases
Preferred Qualifications
- Background in Filipino linguistics, journalism, translation, education, or broadcast media
- Prior experience working with Tagalog or Philippine-language speech datasets
- Working knowledge of Cebuano, Ilocano, or Hiligaynon
- Familiarity with IPA or phonetic transcription systems
- Experience with verbatim and clean-verbatim transcription standards
What We Offer
- Paid pilot task before full onboarding to ensure mutual fit
- Competitive compensation based on audio complexity and turnaround requirements
- Flexible scheduling aligned with active project demand
- Direct collaboration with Perle’s linguistic leads and QA teams
- Opportunities to join additional expert-level AI and language projects across related domains
Location
- Remote - Philippines Preferred
Employment Type
- Contract/Freelance
About the Ideal Candidate
- The ideal candidate is detail-oriented, linguistically precise, culturally aware, and comfortable working independently in a fast-paced AI production environment. You should be passionate about language quality, transcription accuracy, and contributing to cutting-edge AI systems through high-quality human annotation work.
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