About Digital Divide Data (DDD)

Digital Divide Data (DDD) is a BPO that delivers ML data solutions and content services to Fortune 500 companies and the world’s leading academic institutions. DDD is unique in its ability to deliver end-to-end data creation, curation, labeling, and annotation services, regardless of scale, with a guaranteed level of quality.

We are seeking skilled professionals to support a data collection, transcription, translation and annotation project in the Health and Agriculture domains. The role involves collecting voice notes, transcribing, translating, and annotating data for intent detection, slot filling, and utterance classification. This position is only open to individuals with strong linguistic knowledge and skills in Luhya, Kamba, Gusii, and Oromo (Kenyan dialect – not Ethiopian) and an eye for detail in data processing.

• Voice Notes Collection: Gather voice note data in Health and Agriculture domains in the Kenyan local languages of Luhya, Kamba, Gusii, and Oromo.
• Transcription: Accurately convert collected voice notes into written text while maintaining the original meaning.
• Translation: Translate transcribed content into English while ensuring linguistic and contextual accuracy.
• Annotation
  • Intent Detection: Identify and label words or phrases that represent the user’s intent within the given data.
  • Slot Filling: Extract specific details from a query, such as location and time-related information.
  • Utterance Classification: Categorize queries into predefined classes based on their meaning and intent.

Required Skills & Qualifications:

• Native or fluent proficiency in Luhya, Kamba, Gusii, or Oromo (Kenyan dialect)
• Strong listening and comprehension skills.
• Excellent typing speed and accuracy.
• Proficiency in English for translation tasks.
• Attention to detail and ability to maintain consistency in annotation tasks.
• Basic understanding of intent detection, slot filling, and utterance classification (training will be provided).
• Experience in data annotation, transcription, or linguistic research is a plus.
• Must have access to a personal laptop or computer with a reliable internet connection.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. If interested kindly submit your application on or before 20/03/2025