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...
We are seeking a bilingual (English & Hausa) NLU Annotator to join our language AI team. You’ll support the development of robust Natural Language Understanding (NLU) systems by accurately annotating, labeling, and evaluating text data in both languages. A minimum of 1 year of NLU/data annotation experience is required.
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
Qualifications
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 roles 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
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 but not mandatory
Nice-to-Have
Experience integrating results into training pipelines for chatbots or voice assistants
Familiarity with prompt engineering or generative AI contexts
Past work on low-resource languages or Nigerian language NLU (e.g., Hausa)
What You’ll Gain
Contribute directly to multilingual AI development and real-world NLU systems
Collaborate with cross-functional teams (Linguists, Data Scientists, Engineers)
Opportunity to influence annotation standards and help shape future guidelines
Flexible and engaging work environment: remote/hybrid options available
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