This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Linguistic Quality Auditor – IPA Phonetic Transcription Review based in Brazil.
This role offers an opportunity for experienced linguists to contribute to a focused quality audit project involving AI-generated International Phonetic Alphabet (IPA) transcriptions. You will review previously validated or corrected linguistic submissions against original audio recordings to verify transcription accuracy and identify potential errors. The work requires strong phonetic knowledge, exceptional attention to detail, and the ability to make precise judgments about pronunciation and transcription. You will work with short audio recordings, orthographic transcriptions, and AI-generated IPA outputs within a client-owned platform. The project is structured around defined quality standards and turnaround expectations, with a limited, focused engagement. This is a remote project suited to linguists who are comfortable working independently and maintaining a high level of accuracy.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Accountabilities:
- Audit a representative sample of completed linguist submissions to verify the accuracy of previous validation or correction decisions.
- Compare IPA transcriptions against the pronunciation captured in the corresponding audio recordings.
- Identify phonetic transcription errors, inconsistencies, or inaccuracies in reviewed submissions.
- Provide corrections where applicable, depending on the confirmed project scope.
- Review short audio recordings alongside standard orthographic and IPA transcriptions.
- Work within the designated client-owned platform and follow established project procedures.
- Meet agreed turnaround times, quality benchmarks, and project-specific review standards.
- Maintain consistent attention to detail across all audited linguistic content.
Requirements:
- Native or near-native fluency in the relevant target locale.
- Strong knowledge of phonetics and International Phonetic Alphabet (IPA) transcription.
- Previous experience reviewing or producing phonetic transcriptions is highly relevant.
- Prior experience using CAT tools or similar client-owned linguistic platforms.
- Excellent attention to detail and a strong ability to identify subtle pronunciation or transcription discrepancies.
- Ability to work independently while consistently meeting defined quality standards.
- Strong analytical judgment when comparing spoken audio with written and phonetic representations.
- Reliable availability for the project period from early October through mid-October 2026.
- Availability for approximately 20 hours of work during the project.
- Relevant target-language expertise in one or more of the following locales: fr_CA, en_US, pt_PT, vi_VN, de_DE, ko_KR, tr_TR, it_IT, id_ID, nl_NL, th_TH, es_ES, ms_MY, pl_PL, ja_JP, or he_IL.
Benefits:
- Approximately 20 hours of focused project work over an expected two-week engagement.
- Opportunity to contribute to the quality evaluation of AI-generated linguistic data.
- Flexible remote project environment.
- Work performed through a client-owned platform.
- Opportunity to apply specialized phonetics and linguistic expertise to an AI-focused quality initiative.
- Clearly defined quality standards and project deliverables.
- Expected project start in early October 2026.
