Join Carlcare Development Nigeria Limited in Lagos as a Data Quality Control Engineer (Hausa), a key role in managing and improving multilingual data quality for AI projects. Carlcare is a prominent smartphone manufacturer in Africa, known for brands like TECNO and Infinix, delivering technology solutions tailored to local markets.
In this position, you will oversee the quality assurance of datasets used in applications such as Automatic Speech Recognition (ASR), Computer Vision (CV), Natural Language Understanding (NLU), and Text-to-Speech (TTS). Your role involves ensuring compliance with quality standards through personnel training, process quality assessments, and scientific sampling. You will also develop and implement a comprehensive quality management system, integrating automated inspection tools to support large-scale AI model requirements.
Ideal candidates bring at least two years of experience working with large multilingual datasets or data annotation, fluent Hausa language skills with linguistic expertise, and a bachelor's degree in Computer Science, Linguistics, or related fields. Proficiency in English, familiarity with ASR and NLU technologies, and skills in SQL or Python for data analysis are essential. Project management certifications like PMP are advantageous. This full-time role demands excellent attention to detail and the ability to collaborate across teams effectively.
Lagos is a vibrant tech hub driving innovation in AI and telecommunications, making this role critical to advancing Carlcare's competitive edge in Nigeria and beyond. The company's leadership in smartphone manufacturing complements the growing demand for high-quality AI data solutions in the region.
While salary details are not disclosed, this position offers substantial career growth in AI data quality management, opening pathways into advanced roles in AI research, data science, and project leadership within technology firms.
To stand out, highlight your experience managing multilingual datasets, quantify improvements you have driven in data quality, and demonstrate your technical skills with examples of projects involving ASR or NLU. Emphasize your Hausa language proficiency and any training or project management roles you have held.
We invite qualified candidates to apply for the Data Quality Control Engineer (Hausa) position before the closing date on April 30, 2026.
