Nabsa Solomon
Data Annotator
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About
Detail-oriented Audio and Linguistic Evaluator with over 4 years of experience in data annotation, quality assurance, and perceptual evaluation. Skilled in assessing audio recordings for accent authenticity, naturalness, and regional speech patterns. Proven ability to apply objective rubrics, identify subtle phonetic variations, and maintain high consistency across large-scale evaluation tasks.
Experienced in working with distributed AI teams to improve dataset quality and model performance. Brings exceptional listening skills, analytical judgment, and a native-level command of Nigerian English and its regional accents.
Experience
Audio & Linguistic Evaluator at OneForma (2022-01 – Present)
- Evaluate short English audio clips from Nigerian speakers using a defined rubric, focusing on accent authenticity, regional variation, and naturalness of speech.
- Identify and classify target accents (e.g., North-Eastern, South-South, Yoruba-English, Igbo-English) based on phonetic cues and intonation patterns.
- Compare multiple audio recordings side-by-side to determine which most closely matches a target accent and sounds most natural to native listeners.
- Apply consistent, objective judgment across thousands of clips, maintaining >98% scoring accuracy per project quality metrics.
- Flag ambiguous or edge-case recordings and provide structured feedback to guideline owners to improve rubrics and training materials.
- Collaborate with distributed quality assurance teams to calibrate scoring standards and reduce inter-evaluator variability.
AI Annotator & Quality Reviewer – Audio & Text at LXT (2024-01 – 2024-12)
- Conducted perceptual quality reviews of annotated audio datasets, correcting mislabeled accent tags and improving transcription alignment.
- Evaluated AI-generated speech samples for naturalness, fluency, and accent consistency, ensuring alignment with project taxonomies.
- Provided structured feedback to project managers and annotators to refine evaluation guidelines and improve workflow efficiency.
- Maintained high precision and inter-rater reliability across large-scale audio evaluation tasks.
Education
Bachelor of Arts in English & Linguistics – University of Jos, Nigeria (2013-01)
