Audio Annotator at Carlcare Development Nigeria Limited

Carlcare Development Nigeria limited is the parent company of TECNO, Infinix, and itel, and a leading smartphone manufacturer in Africa and emerging markets. With a focus on innovation tailored to local needs, CDNL also manages accessory, appliance, and after-sales brands like Oraimo, Syinix, and Carlcare.

We are recruiting to fill the position below:

Job Title: Audio Annotator

Location: Ikeja, Lagos
Employment Type: Full-time

Description

• 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

• Interested candidates should possess an HND / Bachelor`s Degree
• Native or near-native fluency in both Hausa and English (written + spoken), with strong grammar and cultural nuance understanding
• At least 0-2 years 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
• Experience with annotation tools/platforms (e.g., Labelbox, Prodigy, custom tools) is a plusDegree in Linguistics, Computational Linguistics, AI, or a related field is preferred.

Application Closing Date
31st January, 2026.