Abdulafeez Oyewola

Detail-oriented data annotator and AI audio specialist with 3+ years of experience evaluating and benchmarking conversational audio models for real-world customer support applications.

Native Nigerian

English speaker with fluency across all language skills — reading, listening, writing, and speaking — and a strong command of regional accents and speech patterns. Proven ability to execute role-play–based evaluation scenarios across domains including flight bookings, financial services, and telecommunications, applying standardised qualitative and quantitative rubrics to assess task completion, conversational naturalness, and instruction adherence. Experienced working with distributed remote teams, maintaining 98%+ quality standards, and reasoning about structured data formats such as JSON.

Comfortable with high-quality audio recording setups, technical documentation, and evaluation rubrics for agentic audio model benchmarking. Available 35 hours + per week.

AI Annotator & Content Writer - Hugo Technologies

(2024-01 - 2026-01)

• Evaluated conversational audio agents by executing role-play–based scenarios simulating realistic customer support interactions — covering flight bookings, travel support, and technical troubleshooting — assessing naturalness, intent accuracy, and response quality against standardised rubrics.
• Assessed model performance across both quantitative metrics (task completion accuracy, efficiency) and qualitative criteria (conversational naturalness, audio comprehension, contextual understanding), maintaining evaluation accuracy above 98% across all datasets.
• Applied structured evaluation rubrics to ensure model responses reflected real customer expectations for clarity, efficiency, and natural conversational flow — covering tone, coherence, and instruction adherence across support-style interactions.
• Contributed to the development of diverse, representative datasets for conversational AI benchmarking — conducting inter-annotator agreement (IAA) reviews and quality audits, flagging ambiguities, and escalating edge cases to improve dataset reliability and coverage.
• Collaborated with distributed remote teams across multiple time zones using Asana and Slack, consistently hitting daily throughput targets and project deadlines.
• Authored 200+ structured prompt-response pairs for LLM fine-tuning on customer support tasks, demonstrating working knowledge of JSON structures, functions, and methods to produce model-training-ready outputs aligned with technical evaluation guidelines.

Data Analyst & SDGs Advocate - SDGs Community Development Service

(2024-09 - 2025-06)

• Annotated and coded qualitative survey responses for thematic analysis, applying consistent labelling schemas to unstructured spoken and written data.
• Conducted exploratory data analysis on large community datasets using Python (Pandas, NumPy), surfacing patterns to inform programme strategy.
• Built interactive Power BI dashboards to visualise programme reach and engagement metrics across diverse regional populations in Nigeria.
• Authored comprehensive field reports and data narratives for internal and external stakeholders, demonstrating strong written English communication.

Data Analyst (Intern) - Ibadan Digital Academy

(2023-07 - 2023-12)

• Cleaned, transformed, and validated datasets in Excel and Power BI, ensuring accuracy and compliance across HR and administrative records.
• Supported labelling and categorisation of structured and unstructured data assets for internal analytics projects.
• Assisted in designing data collection instruments and validating survey tools — developing a strong foundation in data quality assurance.

B.Sc. - Sociology - Federal University Birnin Kebbi, Nigeria (2024-12)

National Diploma - Business Administration - The Polytechnic, Ibadan (2018-09)