YO IT Consulting
Dioula Bilingual Expert - Remote
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Job Description
Job Title: Dioula Bilingual Expert
Job Type: Contract
Location: Remote
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 Dioula and English, ensuring accuracy and fidelity to the source material.
- Clearly identify and outline timestamps for all transcribed segments, providing seamless reference points.
- Analyze and describe the emotional tone and intent of speakers, capturing subtle nuances and non-verbal cues.
- Assess and critique grammar, syntactic structure, and tone in both languages to improve language model training.
- Define and elaborate on conceptual aspects of words and expressions used, enabling deeper AI understanding.
- Engage in complex language-related tasks, offering linguistic insights and feedback as needed.
- Collaborate with the customer’s team to ensure deliverables meet quality and linguistic standards.
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Required Skills And Qualifications
- Fluency in both Dioula and English, with exceptional written and verbal communication skills.
- Demonstrated expertise in linguistics, translation, or transcription involving Dioula and English.
- Ability to capture and articulate emotionality, tone, and intent within spoken content.
- Experience with transcription tools and attention to detail in timestamping and note-taking.
- Strong analytical skills to evaluate grammar and provide comprehensive language feedback.
- Commitment of at least 15 hours per week, delivering reliable and high-quality work remotely.
- Proven ability to handle complex language tasks with minimal supervision.
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Preferred Qualifications
- Background in language research, applied linguistics, or education.
- Experience working with AI, machine learning, or data-driven language projects.
- Familiarity with cultural and regional nuances relevant to Dioula-speaking populations.
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