Tolulope A.

Key Skills

Software

Label Studio

Prodigy

Other

Data Annotation Tech

Dataloop

Datasaur

Dataturk

Top Subject Matter

E-commerce Customer Reviews

Large Language Model (LLM) RLHF Datasets

News & Business Docs Named Entity Recognition

Top Data Types

Text

Image

Video

Top Task Types

Classification

RLHF

Entity (NER) Classification

Bounding Box

Freelancer Overview

Text Classification & Sentiment Labelling Dataset Annotator. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Internal, and Proprietary Tooling. Education includes Bachelor of Science, Obafemi Awolowo University. AI-training focus includes data types such as Text and Image and labeling workflows including Classification, RLHF, and Entity (NER) Classification.

Labeling Experience

Image Tagging & Bounding Box Annotator

OtherImageBounding Box

Applied bounding boxes, polygon segmentation, and image-level tags for computer vision training datasets. Ensured annotation accuracy above 97% and escalated ambiguous or systematic edge cases. Maintained QA logs and supported guideline evolution alongside project leads. • Handled diverse visual datasets for object detection and classification • Focused on precise bounding box and segmentation protocols • Contributed to annotation taxonomy improvement initiatives • Supported weekly reporting on annotation accuracy and quality

2023 - Present

Named Entity Recognition (NER) Annotator

ProdigyTextEntity (NER) Classification

Annotated 5,500+ sentences for named entities such as persons, organizations, locations, dates, and financial terms. Maintained strict span boundary consistency and consulted guidelines for ambiguous cases. Escalated edge scenarios to lead annotators for resolution and taxonomy refinement. • Used Prodigy software and Excel for annotation sessions • Worked with news and business document corpora • Resolved 200+ ambiguous entity types as part of quality assurance • Supported taxonomy development and high inter-annotator agreement

2023 - Present

LLM Response Evaluation & RLHF Rater

TextRLHF

Evaluated 3,200 large language model (LLM) generated responses on helpfulness, accuracy, safety, and instruction-following. Utilized structured 5-point rubrics and provided rationales for edge case ratings. Ensured feedback loop integration with model fine-tuning cycles. • Used a custom annotation platform along with Google Sheets • Rated outputs and flagged 127 high-risk responses • Focused on prompt following and safety dimensions • Contributed to prompt writing and output quality review

2023 - Present

Text Classification & Sentiment Labelling Dataset Annotator

Label StudioTextClassification

Labelled 8,000+ customer review texts for sentiment and intent across an e-commerce dataset. Ensured high accuracy and consistency through inter-annotator agreement and reference label comparison. Applied systematic annotation protocols in Python, Label Studio, and Excel. • Classified sentiment (5 categories) and intent (12 labels) • Achieved 98.2% accuracy and Cohen's Kappa of 0.91 • Worked with multilingual English and Yoruba corpora • Adhered to structured annotation guidelines throughout all batches

2023 - Present

Education

Work History