Senora M.

Key Skills

Software

Don't disclose

Other

Label Studio

Data Annotation Tech

Mindrift

Mercor

Toloka

Remotasks

Top Subject Matter

Multilingual linguistics

localization-style linguistic QA

and content labeling consistency

Top Data Types

Text

Top Task Types

Data Collection

Fine-tuning

Entity (NER) Classification

Freelancer Overview

Remote Content Strategist & Digital Marketing Blogger (Upwork Platform — International Client, Philippines). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Microsoft Office, and Other. Education includes Bachelor of Science, Multimedia University of Kenya (2022) and Certificate, IBM Skills Build (2025). AI-training focus includes data types such as Text and labeling workflows including Translation, Localization, and Data Collection.

Labeling Experience

Independent NLP & Annotation Research Project

Label StudioTextEntity (NER) Classification

You are designing a Swahili–English parallel annotation dataset project to support low-resource NLP model training, including researching annotation schemas such as IOB tagging and intent classification. This is direct work toward creating labeled datasets for AI training and evaluation, with emphasis on writing methodology and annotation guidelines. The project also includes self-directed development of data processing and preprocessing pipelines used in annotation workflows. • Build a parallel annotation dataset for Swahili–English NLP training. • Research annotation tools and schemas including IOB tagging, sentiment, and intent labels. • Develop supporting Python workflows using pandas and NLTK. • Document annotation guidelines and methodology using best practices for labeling.

2025 - Present

Certificate — Fundamentals of Artificial Intelligence (IBM Skills Build)

OtherTextFine-tuning

You completed structured coursework on machine learning pipelines and responsible AI, gaining practical exposure to model lifecycle concepts relevant to training-data quality and evaluation support. This training aligns with preparing for AI tutoring and data-labeling workflows where correct labeling and evaluation are critical for supervised learning. The program covered supervised and unsupervised learning foundations needed for downstream annotation and dataset refinement. • Learned concepts of machine learning pipelines and neural network fundamentals. • Studied supervised and unsupervised learning approaches. • Covered responsible AI considerations for training data and evaluation. • Built understanding of model lifecycle steps affecting dataset quality.

2025 - 2025

Founder & Operations Manager (Sport Fit — Nairobi, Kenya)

TextData Collection

As Founder & Operations Manager, you maintained accurate sales and stock records and applied quantitative methods learned through coursework to real business data challenges. While not an AI labeling job by title, the responsibility involved structured data gathering and quality maintenance that supports dataset curation practices. The work emphasized reliability of records and operational data integrity. • Conducted procurement and inventory management with structured record keeping. • Maintained sales and stock records using quantitative methods. • Supported budgeting and planning through spreadsheet-based analysis. • Coordinated stakeholders through supplier and vendor communications.

2023 - 2024

Remote Content Strategist & Digital Marketing Blogger (Upwork Platform — International Client, Philippines)

Don't discloseText

You adapted tone, terminology, and cultural framing for a non-English-speaking client audience while producing and maintaining consistent, SEO-optimized content across English-language markets. This work parallels multilingual data annotation and linguistic QA by ensuring label-consistent phrasing and culturally appropriate variants for downstream consumption. The role also required self-managed quality control across high-volume output without supervision. • Managed end-to-end content production including research, drafting, editing, and publishing. • Applied cross-cultural framing adjustments akin to localization labeling rules. • Operated remote and asynchronously across multiple time zones. • Built structured editorial processes to improve turnaround time and consistency.

2022 - 2024

Education

Work History