Language annotator at Digital Divide Data (DDD Kenya)

Job Description

Intent Detection tasks: Given a particular intent e.g “change pin” in a banking domain, the annotator should come up with sentences that describe the intent or action “change pin”. Several intents would be provided in several domains like tourism, banking, health e.t.c.

Slot Filling Tasks: This includes extracting from the utterance the correct argument value for the slots of the intent. Basically identifying spans of words in an utterance that correspond to certain parameters (i.e., slots) of a user request/query.

Qualifications

Education Qualifications

• Bachelor's Degree or Diploma in Linguistics, Computational linguistics, or computer science.
• Basic knowledge of computer systems and technologies

Preferred Skillset

• Must be fluent in at least two languages -  language of the source (e.g English/French) and target language. The target language should be one of the following: Amharic, Ewe, Hausa, Igbo, Kinyarwanda, Lingala, Luganda, Oromo, Sesotho, Shona, Swahili, Twi, Wolof, isiXhosa, Yoruba, or isiZulu.
• Must have prior experience doing annotation work e.g named entity recognition or sentiment classification.
• Writing, and good communication skills