Languages & Translation

Lingala Bilingual Expert

ContractorRemote5 openings$45 - $95/hour

About this role

Job Title: Lingala Bilingual Expert 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.

Skills

Lingala Language ProficiencyEnglish Language ProficiencyTranscriptionLinguistic AnalysisAttention To DetailEmotional Nuance IdentificationCritical ThinkingTranslationLocalizationRemote Work Collaboration

Key responsibilities

  • Transcribe video content in Lingala, ensuring accurate and detailed capture of spoken language.
  • Clearly outline timestamps and describe the emotional tone and intent of speakers.
  • Analyze and evaluate grammar, tone, and overall language structure in both Lingala and English content.
  • Define and elaborate on the conceptual aspects of words and phrases, capturing cultural and contextual nuances.
  • Perform complex language tasks to train and fine-tune AI language models.
  • Collaborate with the customer's team to ensure deliverables meet quality standards and project requirements.
  • Commit to at least 15 hours of focused work per week, maintaining consistency in quality and detail.

Required skills & qualifications

  • Native or near-native proficiency in both Lingala and English, with advanced written and verbal communication skills.
  • Exceptional attention to detail in linguistic analysis and transcription work.
  • Demonstrated ability to identify and articulate emotional nuances and tone in spoken language.
  • Strong analytical and critical thinking skills applied to language tasks.
  • Experience in transcription, translation, localization, or similar linguistics-focused roles.
  • Ability to work independently and collaborate effectively within a remote environment.
  • Reliable commitment to a minimum of 15 hours per week.

Preferred qualifications

  • Background in linguistics, language education, or related fields.
  • Experience working on AI, NLP, or data annotation projects.
  • Familiarity with best practices in high-quality transcription and annotation.
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