Dioula Bilingual Expert | $15-$95/hr Remote
Overview
This role involves applying your bilingual Dioula and English expertise to help train next-generation AI systems. You will transcribe video content, analyze emotional tone and intent, and provide linguistic feedback to improve language model training. No prior AI experience is required—your domain knowledge is what matters.
What You'll Do6
- 1Transcribe video content in Dioula and English with high accuracy
- 2Clearly identify and outline timestamps for all transcribed segments
- 3Analyze and describe the emotional tone and intent of speakers, capturing subtle nuances
- 4Assess and critique grammar, syntactic structure, and tone in both languages
- 5Define and elaborate on conceptual aspects of words and expressions used
- 6Collaborate with the customer’s team to ensure deliverables meet quality standards
Requirements5
- 1Fluency in both Dioula and English with exceptional written and verbal communication skills
- 2Demonstrated expertise in linguistics, translation, or transcription involving Dioula and English
- 3Ability to capture and articulate emotionality, tone, and intent within spoken content
- 4Experience with transcription tools and strong attention to detail in timestamping
- 5Commitment of at least 15 hours per week with reliable remote work discipline
Who Should Apply
The ideal candidate is a bilingual Dioula/English linguist, translator, or transcriptionist with a keen eye for detail and the ability to analyze emotional tone and grammar. You should have a background in language research or education and be comfortable working independently on complex linguistic tasks. Passion for contributing to AI language model training is a plus.
Salary Insight
Pay ranges from $15 to $95 per hour, based on experience and tasks. This is a remote contractor position.
Required Skills
Application Tip
Highlight your specific experience with Dioula transcription and any past work involving linguistic analysis (e.g., emotion tagging or grammar evaluation). If you have even indirect exposure to AI or data annotation projects, mention it—this role values domain knowledge over technical AI expertise.