Job Mesmes

Key Skills

Software

Labelbox

Label Studio

Remotasks

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Function Calling

Object Detection

Question Answering

Freelancer Overview

I am a detail-oriented professional with over 10 years of experience in data management, financial analysis, and compliance across education, NGO, and corporate sectors. My background has equipped me with advanced skills in data analysis, data validation, and meticulous record-keeping using tools such as Excel (Power Query, Pivot Tables), Power BI, and Tableau. I have a proven track record of maintaining data accuracy and integrity for large-scale projects, including managing and reconciling complex datasets for payroll, student fee management, and donor-funded programs. My experience in automating processes, streamlining data workflows, and ensuring strict compliance standards makes me well-suited for data labeling and AI training data roles, where attention to detail and data quality are paramount. I am committed to delivering high-quality, reliable datasets to support machine learning and AI initiatives.

Labeling Experience

Data Annotator & AI Training Specialist

LabelboxImageClassification

Responsible for ensuring the precision and organization of multimodal datasets used for AI training. Focused on preparing data in accordance with guidelines to improve pattern recognition and model accuracy. Played a vital role in developing ethical AI practices by auditing training outputs. • Built structured, unbiased datasets by removing errors. • Labeled datasets to facilitate pattern recognition. • Audited AI outputs for ethical alignment. • Developed best practices for annotation.

Responsible for ensuring the precision and organization of multimodal datasets used for AI training. Focused on preparing data in accordance with guidelines to improve pattern recognition and model accuracy. Played a vital role in developing ethical AI practices by auditing training outputs. • Built structured, unbiased datasets by removing errors. • Labeled datasets to facilitate pattern recognition. • Audited AI outputs for ethical alignment. • Developed best practices for annotation.

2025

Education

Work History