Wachera J.

Key Skills

Freelancer Overview

My experience in data labeling and AI training spans both independent practice exercises and applied evaluation work. I have completed exercises in data entry and labeling, survey and market research, and data validation and quality control. I also have direct experience in incident reporting and annotation, where I followed strict documentation guidelines accurately and consistently. Through structured self-directed training, I have practiced the full evaluation cycle — assessing AI-generated responses for accuracy, relevance, and contextual appropriateness, identifying where models oversimplify or miss real-world constraints, and writing clear, reasoned feedback that explains not just what is wrong but why, and what a better response would look like. What sets me apart is the depth of real-world subject matter I bring to the work. As the owner and operator of Lorgeen Homes, a commission-based real estate agency in Nairobi, and the founder of a psycho-spiritual coaching practice for women, I evaluate AI responses from lived operational experience — not theory. I understand resource constraints, crisis prioritisation, human motivation, and the trade-offs that define real small business decision-making. My academic background in Counselling Psychology and certified mediation training further strengthens my ability to read nuance, distinguish surface content from underlying intent, and articulate structured, precise feedback. I am detail-oriented, instruction-led, and fully equipped to work independently and remotely.

Labeling Experience

Self directed Learning

TextClassification

Data Entry and Labeling Subject Type: Text Annotation Labeling Type: Classification / Categorical Labeling Industry: General / Cross-industry (AI Training Data) Survey and Market Research Subject Type: Survey Response Analysis / Sentiment Evaluation Labeling Type: Sentiment Labeling / Relevance Rating Industry: Market Research / Consumer Insights Data Validation and Quality Control Subject Type: Data Review and Verification Labeling Type: Quality Assurance / Error Flagging Industry: General Data Operations / AI Dataset Preparation These were self-directed training exercises completed to build foundational competency in data labeling workflows. While not completed under a formal employer, they involved real annotation tasks including text classification, sentiment evaluation, and data validation, and directly prepared me for applied AI training work.

2026 - Present

Education

Work History