Dioula-English Transcription Specialist
Remote, part-time contract transcribing and analyzing Dioula and English video content for AI training, paying $15–$95/hr. Flexible work under 20 hours/week; ideal for bilingual transcriptionists, translators, and linguists.
Language Translation Localization
$15–$95/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jun 28, 2026
Posted
Open worldwide
About OpenTrain
OpenTrain is the #1 platform for people building careers in AI training and data labeling. We connect contractors with projects that teach AI systems through human examples, help you track work across platforms, and let you build a unified portfolio of language and annotation projects.
AI training is a fast-growing, accessible way to work remotely and flexibly — contributors directly shape how modern AI behaves by transcribing, annotating, evaluating, and explaining real language data.
About This Project (OpenTrain)
OpenTrain is hiring remote contractors to transcribe and evaluate Dioula and English video content for AI model training. This is a contract, part-time role that values careful transcription, timestamping, and nuanced linguistic analysis.
No prior AI experience is required — this project is open to bilingual specialists with transcription, translation, or linguistics backgrounds who can deliver high-quality language work.
- Employment type: Contractor, Part-time
- Time commitment: Less than 20 hours per week (flexible)
- Pay: Paid per hour; range shown $15–$95 USD/hour (PAY_PER_HOUR)
- Data type: Video
- Labeling tasks: Transcription and evaluation/rating
- Tools: Work will use transcription/annotation tools ()
What You'll Do
- Transcribe video content in Dioula and English with high accuracy and fidelity to the original audio and speech.
- Add clear timestamps for transcribed segments so reviewers and model trainers can reference specific moments.
- Analyze speaker tone, intent, emotionality, and non-verbal nuance to inform model behavior.
- Review grammar, syntactic structure, and tone in both languages and document relevant observations.
- Explain word and expression meanings and usage to deepen model understanding of language and context.
- Collaborate with the project team to keep deliverables aligned with quality and linguistic standards.
Requirements
This role requires demonstrated fluency in Dioula and English and the ability to express language analysis clearly in writing.
- Fluency in Dioula and English with strong written and verbal communication skills.
- Background in linguistics, translation, or transcription involving Dioula and English.
- Comfort evaluating emotional tone, intent, grammar, and linguistic nuance.
- Experience using transcription tools and adding careful timestamps or notes.
- Ability to work independently and manage complex language tasks with minimal supervision.
Helpful Background
- Experience in language research, applied linguistics, or education is a plus.
- Prior involvement in AI, machine learning, or data-driven language projects can be helpful but is not required.
- Familiarity with cultural and regional nuances relevant to Dioula-speaking communities will strengthen your application.
Who Should Apply
Apply if you are a bilingual Dioula–English specialist who enjoys detailed transcription and reasoning about language use and tone. This role fits linguists, translators, transcriptionists, language researchers, and experienced bilingual communicators seeking flexible, remote work in AI training.
How It Works / Apply
Create a free OpenTrain account to apply for the project listing for OpenTrain. After you apply, the project team will review qualified applicants and share next steps.
Expect to perform work remotely using transcription/annotation tools and to submit timestamped transcripts and evaluation notes per project guidelines.
- Application steps: Sign up on OpenTrain (free), locate this project, and submit your application.
- Schedule: Flexible; designed to fit under 20 hours/week.
- Compensation: Pay is hourly (PAY_PER_HOUR). Exact rate offered will be within the stated $15–$95/hr range.