English Language Expert (Philippines) at micro1
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About this role
Role Title: English Language Expert (Philippines) Role Type: Contractor Location: Remote micro1 is engaging English Language Experts (Philippines) to contribute to an impactful customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work
Listen to multi-speaker conversational audio recordings, identifying and tagging key speaker and audio metadata such as dialect, accent, audio quality, background noise, age, and speaking style.
Annotate and correct first-pass ASR (Automatic Speech Recognition) transcripts, ensuring precise application of Filipino English spelling, usage, and conventions.
Utilize your knowledge of Filipino accents, shaped by the mother tongues and regional varieties across the country, including Tagalog-influenced English, Cebuano-influenced English, Ilocano-influenced English, Hiligaynon-influenced English, Waray-influenced English, Kapampangan-influenced English, Bikol-influenced English, and Taglish-influenced English, to accurately identify and categorize dialectal features.
Apply your knowledge of Filipino English vocabulary, idioms, slang, code-switching (such as Taglish and Bisaya-English mixing), and spelling to enhance the linguistic accuracy of project data.
Preferred Qualifications
Fluent proficiency in Filipino English, with demonstrated familiarity across multiple dialects and regional accents.
Background in language teaching, linguistics, transcription, editing, translation, journalism, or a related discipline.
Exceptional written and verbal communication skills, with a meticulous approach to language variation and usage.
Ability to distinguish subtle differences in Filipino English pronunciation and vocabulary across regions and language groups.
Experience working with audio data, metadata tagging, or transcription practices is beneficial.
Adaptable, detail-oriented, and able to manage complex annotation guidelines independently.
Interest in linguistic technology, AI training, or language data projects is a plus.
Originally posted on Himalayas