Nomsa Shirley M.

Key Skills

Software

Other

Top Subject Matter

AI/data annotation readiness and data analysis

AI data annotation learning

Top Data Types

Text

Top Task Types

Classification

Prompt + Response Writing (SFT)

Entity (NER) Classification

Freelancer Overview

Data management and analysis (dataset preparation). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Diploma in English Literature, N/A and Matriculation, Boikagong Secondary School. AI-training focus includes data types such as Text and labeling workflows including Classification, Prompt + Response Writing (SFT), and Named Entity Recognition.

Labeling Experience

Data management and analysis (dataset preparation)

OtherTextClassification

Completed 3 years of data management and analysis with work that supports building and organizing labeled datasets for downstream AI use. Assisted with preparing data for annotation workflows and maintaining data quality so models can be trained effectively. Performed supporting analysis tasks to ensure consistency and reliability across the labeled data.• Organized and maintained datasets used for AI-related processing.• Assisted with identifying data quality issues and inconsistencies.• Supported labeling readiness by preparing/structuring data.• Contributed to ongoing dataset updates and maintenance.

2022 - 2024

AI Data and Marketing Learner - N/A

Entity (NER) Classification

Completed one year of learning AI-related data annotation and marketing concepts while building relevant understanding of how AI workflows connect with data. The learning phase required structured self-study, following guidance, and adapting marketing knowledge to data contexts. The experience strengthened your ability to work with data responsibly and communicate marketing insights clearly. • Practiced AI data workflow concepts through guided learning • Built familiarity with data annotation and related processes (learning-focused) • Developed basic marketing understanding alongside data tasks • Strengthened communication and organization skills during study

2023 - 2023

AI data annotations and marketing (learning)

TextPrompt + Response Writing (SFT)

Completed 1 year of learning AI data annotations and marketing, focusing specifically on AI annotation practices. Worked on understanding annotation processes and applying them to create useful labeled data for AI tasks. Used acquired knowledge to support marketing-related AI data work while learning end-to-end annotation concepts.• Learned AI data annotation workflows and quality expectations.• Practiced preparing/annotating training data for AI use cases.• Applied annotation skills in a marketing context involving AI data.• Developed familiarity with how labeled data feeds AI model training.

2023 - 2023

Education

Work History