Ashaolu K.

Key Skills

Software

CVAT

Scale AI

SuperAnnotate

Prodigy

Label Studio

Top Subject Matter

Customer support and travel/chatbot NLP

AI model training datasets (multimodal)

Anti-fraud investigation workflows

Top Data Types

Audio

Image

Text

Top Task Types

Entity (NER) Classification

Data Collection

Freelancer Overview

AI Data Annotator at Hugo (2023). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Science, University of Ilorin (2019). AI-training focus includes data types such as Text and Audio and labeling workflows including Entity (NER) Classification, Data Collection, and Evaluation.

Labeling Experience

Data Annotator at Teleperformance (2025–Present)

AudioData Collection

Annotated text, image, and audio datasets following client-specific guidelines for AI model training. Maintained 95%+ accuracy while meeting daily throughput targets for high-volume annotation projects. Conducted QA checks on peer annotations and escalated guideline ambiguities to ensure consistent output across the team. • Applied client labeling guidelines to text, image, and audio inputs. • Met daily throughput targets with high annotation accuracy. • Performed peer QA and updated labeling documentation. • Escalated ambiguous guidelines to project leads for alignment.

2025 - Present

AI Data Annotator at Hugo (2023)

TextEntity (NER) Classification

Served as an AI data annotator for Hugo’s travel platform by labeling customer support conversations and booking data to improve NLP models. Tagged entities, intent, and sentiment in multilingual text data to enhance chatbot accuracy. Collaborated with Hugo’s ML team to refine annotation schemas and validate datasets before delivery. • Labeled multilingual customer support and booking conversations. • Annotated entities, intent, and sentiment for NLP training. • Performed quality/completeness validation prior to engineering delivery. • Supported pilot projects by annotating edge-case samples.

2023 - 2023

Anti-Fraud Investigator (Customer service support) at Newedge Finance Limited (Easy buy) (2022–2023)

Text

Conducted anti-fraud investigation and customer service support activities that involved assessing suspicious cases and providing structured feedback. Performed customer profiling and background checks for suspected fraud perpetrators as part of investigation workflows. Produced reports documenting findings and recommendations for designated customers and abnormal situations. • Identified and assessed customer needs and fraud risk signals. • Investigated suspicious fraud cases, abnormal situations, and verified identities. • Provided valid feedback and documented outcomes in reports. • Handled complaints and followed procedures, guidelines, and policies for resolution.

2022 - 2023

Education

Work History