Millicent A.

Key Skills

Software

Other

Label Studio

Top Subject Matter

Academic research data curation for AI training quality

Data quality review and structured interaction/document preparation for AI training

Analytics supporting AI support interaction review quality

Top Data Types

Image

Text

Document

Top Task Types

Classification

Bounding Box

Polygon

Segmentation

Entity (NER) Classification

Point/Key Point

Object Detection

Transcription

Data Collection

Freelancer Overview

Research Assistant — New York University, Abu Dhabi (Remote). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Sheets, Other, and Power BI. Education includes Master of Philosophy, University of Cambridge (2006) and Bachelor of Science, Kwame Nkrumah University of Science & Technology (2003). AI-training focus includes data types such as Text, Document, and Image and labeling workflows including Data Collection, Entity (NER), and Evaluation.

Labeling Experience

Marketing & Operations Assistant — Webselenese, Israel (Remote)

OtherDocument

Managed client-facing communications and document flow for an international remote team, supporting structured research and quality review workflows aligned with AI training processes. Researched and qualified 20,000+ leads with emphasis on data accuracy and attention to detail under time pressure. Produced verified, formatted research outputs that mirror the consistency expectations of AI data annotation. • Qualified and validated large volumes of leads to maintain data correctness • Compiled and formatted structured reports for downstream quality review • Documented process gaps and improved team best practices for output consistency • Ensured clear responses to stakeholder queries to support clean interaction records

2023 - Present

AI Data Annotation Specialist (Project Support)

Label StudioTextClassification

Provided data annotation expertise for AI projects by supporting machine learning through Natural Language Processing and computer vision annotation. Leveraged Label Studio to accurately label and classify datasets, ensuring high-quality training data for model development. Cleaned, analyzed, and prepared datasets for use in AI workflows as part of remote project teams. • Applied NLP and computer vision annotation for diverse AI data projects • Utilized Label Studio for both text and image labeling tasks • Contributed to improving machine learning model accuracy and reliability • Supported remote teams with organized and consistent annotation practices

2023 - Present

Data Labeler

ImageBounding Box

Image, Text, Video, audio, and geospatial data labeling.

2026 - 2026

Data Analyst — AMDARI, Canada (Remote)

Text

Collected, cleaned, and analyzed datasets to support decision-making, applying analytics skills directly transferable to reviewing and annotating AI support interactions. Built interactive dashboards to track user KPIs and improve user satisfaction outcomes based on measured trends. Collaborated with remote cross-functional teams to communicate findings clearly to non-technical stakeholders. • Cleaned datasets to support reliable labeling/review workflows • Produced dashboard analytics used to guide AI-support improvement efforts • Communicated insights to stakeholders to support iterative quality enhancements • Coordinated with remote teams to identify improvement opportunities

2024 - 2025

Research Assistant — New York University, Abu Dhabi (Remote)

TextData Collection

Compiled 7,400+ peer-reviewed publications with full data accuracy to support research inputs suitable for downstream AI training pipelines. Maintained rigorous documentation and structured tracking to preserve label-quality standards. Ensured consistent dataset organization across multiple collaborating universities. • Prepared and validated textual research records for high-quality AI data usage • Used Google Sheets for structured tracking and coordination • Supported academic research workflows requiring meticulous data quality review • Coordinated across 9 universities while maintaining documentation integrity

2022 - 2023

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Education

Work History