Ewesor A.

Key Skills

Software

Other

Telus

Toloka

Scale AI

Mercor

Labelbox

Clickworker

Data Annotation Tech

Remotasks

Top Subject Matter

NLP (text classification, sentiment analysis, recommendation systems)

Educational assessment support and AI-assisted learning feedback

Top Data Types

Text

Image

Audio

Top Task Types

Classification

Freelancer Overview

AI & Data Professional (Remote) — data preprocessing and NLP model work. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, University of Pennsylvania (2017). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

High School Teacher (Mathematics & Computer Science) — data-driven instruction and AI-assisted tutoring

OtherText

Used data-driven assessments and AI-based resources to evaluate student learning and tailor instructional guidance, functioning as an ongoing AI training/tutoring workflow for educational data. Worked with STEM competition and advanced coursework where assessment outputs supported personalized learning. Applied remote tools and structured evaluation practices to improve learning effectiveness over time. • Data-driven assessment collection and interpretation for learner tracking • Personalized instruction based on learning performance metrics • Integration of coding and data analysis projects into curriculum • Ongoing use of AI-based resources to support instruction and feedback

2021 - Present

AI & Data Professional (Remote) — data preprocessing and NLP model work

TextClassification

Delivered NLP model development work involving labeled textual datasets for classification, sentiment analysis, and recommendation features. Supported data preprocessing and performance optimization, indicating hands-on preparation and refinement of training data inputs. Produced analysis and consultable insights from experiments to improve model training outcomes. • Text classification dataset preparation and use for transformer-based models • Sentiment analysis and recommendation system modeling with structured targets • Data preprocessing/ETL as part of preparing training-ready text • Experiment result analysis to guide model improvements

2018 - 2021

Education

Work History