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Language
Lingala Bilingual Expert
Why we like this role
This is language work with a sharper edge than generic translation. It rewards fluency, patience, and the ability to explain nuance in a way an AI system can actually learn from. The posted range is $45-95/hour.
About this opportunity
Job Summary: 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.
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 and 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.
Required skills
- lingala language proficiency
- english language proficiency
- transcription
- linguistic analysis
- attention to detail
- emotional nuance identification
- critical thinking
- translation
- localization
- remote work collaboration
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