TRANSSION HOLDINGS, the company formerly known as TECNO TELECOM LIMITED, established in July 2006, is a high-tech company specializing in the R&D, production, sale and service of mobile communication products. After years of development, TRANSSION has become an important part of the mobile phone industry and one of the major mobile phone manufacturers in...
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We are looking for detail-oriented and language-proficient individuals to join our AI Data team as Audio Annotators.
The successful candidate will be responsible for listening to, transcribing, labeling, and reviewing audio data in either English or Hausa.
This role supports the development of speech recognition and natural language processing systems.
Key Responsibilities
Annotate and label text data in English and Hausa according to project-specific guidelines (e.g., intent classification, entity tagging, sentiment, slot filling, etc.)
Review, validate, and refine AI-generated annotations to ensure high quality and consistency
Coordinate with NLP engineers and linguists to resolve ambiguous or complex annotation cases
Document annotation decisions, flag patterns or issues, and suggest improvements to guidelines
Perform quality assurance checks to maintain high inter-annotator agreement.
Requirements
Experience with annotation tools/platforms (e.g., Labelbox, Prodigy, custom tools) is a plus Degree in Linguistics, Computational Linguistics, AI, or a related field is preferred.
Native or near-native fluency in both Hausa and English (written + spoken), with strong grammar and cultural nuance understanding
At least 1 year of experience in NLU, NLP, or data annotation role involving intents, entities, or conversational understanding
Strong linguistic background: familiarity with syntax, semantic roles,NER, etc.
Attention to detail, critical thinking, and ability to work with large datasets.
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