Emmanuel S.

Key Skills

Software

Other

Top Subject Matter

General data annotation and QA for projects

Academic research dataset labeling

Class project data labeling and QA

Top Data Types

Document

Text

Image

Top Task Types

Data Collection

Freelancer Overview

Volunteer. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Google Sheets, and Google Docs. Education includes Senior Secondary School Certificate, Your School Name (2024). AI-training focus includes data types such as Document and Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Volunteer data annotation, labeling, and quality assurance (2024–Present)

OtherDocument

Worked as a volunteer performing data annotation and QA activities based on provided guidelines. You reviewed and corrected documents to ensure accuracy, relevance, and consistency in the labeled outputs. You supported team efforts to complete annotation-related projects on schedule despite time constraints. • Data entry and categorization for annotated datasets • Spotting errors and maintaining label consistency • Document review/correction to quality standards • Team collaboration to meet tight deadlines

2024 - Present

Project contributor for class datasets (2023–2024)

TextData Collection

Participated in class project efforts that required data gathering and labeling for team tasks. You reviewed datasets to find errors and reported them to improve dataset quality. You wrote brief notes explaining the steps taken so others could replicate or understand the work. • Gathered and labeled data for class projects • Checked datasets to spot errors • Communicated issues back to teammates • Wrote simple notes to document the process

2023 - 2024

School Project Contributor / Project participant (2023–2024)

TextData Collection

Contributed to class and academic research projects by collecting and labeling datasets for team use. You analyzed information within the datasets and flagged inconsistencies that could affect downstream analysis. You also documented how the work was done to enable other team members to follow the process. • Data collection for academic research datasets • Text/data labeling for research needs • Inconsistency detection within datasets • Clear documentation of labeling process

2023 - 2024

Education

Work History