TEXT SUMMARIZATION
FOR TEXT SUMMARIZATION AND ESSAY WRITING
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Developing Audio Annotation Specialist. Core strengths include Label Studio. AI-training focus includes data types such as Audio and labeling workflows including Transcription.
FOR TEXT SUMMARIZATION AND ESSAY WRITING
A detail-oriented Video Annotation and Data Collection Specialist with experience in labeling and organizing video datasets for AI and machine learning applications. Skilled in segmenting video sequences, tracking objects across frames, and applying accurate annotations such as bounding boxes, timestamps, and activity labels. Demonstrates strong attention to detail when handling motion, occlusions, and scene transitions to ensure consistency and high-quality outputs.
I am actively developing my skills in audio annotation workflows to complement my text annotation experience, focusing on speaker diarization, timestamping, and transcription review for LLM speech model training. My learning includes understanding phoneme-level transcription, speech labeling, and music annotation fundamentals. I have begun using annotation tools like Audacity, Label Studio, and Praat for practical tasks. • Studied principles of phoneme-level transcription and speech labeling best practices • Performed basic audio quality checks and flagging in sample datasets • Explored pitch/note recognition concepts relevant to music data annotation • Applied clinical observation skills to achieve high audio labeling accuracy
As a freelance AI Trainer and LLM Evaluator at Outlier.ai, Scale AI, and Appen, I carried out reinforcement learning from human feedback (RLHF) and preference data tasks in medical and STEM contexts. I conducted prompt evaluation, hallucination auditing, supervised fine-tuning, and output quality assessment across biology, medicine, and general STEM domains. My responsibilities included annotating, labeling, classifying, and reviewing text datasets to ensure factual accuracy, coherence, and safety in AI model responses. • Performed hallucination audits and flagged unsafe or inaccurate medical/scientific content. • Authored and refined high-quality STEM prompts for model training and evaluation. • Verified reasoning steps and factual consistency in AI-generated outputs. • Executed content moderation and AI safety tasks across multiple annotation platforms.
A detail-oriented Image Annotation Specialist with experience in bounding box annotation for computer vision datasets. Skilled in accurately identifying, classifying, and localizing objects within images by drawing precise bounding boxes that meet strict quality and consistency standards. Demonstrates strong attention to detail when handling complex scenarios such as occlusions, overlapping objects, and varied image conditions to ensure high-quality training data.
BACHELORS ON SCIENCE NURSING, HEALTH
Kenya Certificate of Secondary Education, General Secondary Education
NURSE ATTACHMENT
Analytical Observer