Michael K.

Key Skills

Software

Scale AI

Remotasks

Labelbox

Appen

Toloka

Top Subject Matter

Artificial Intelligence & Machine Learning

Technology & Software Engineering

Data Analytics & Research Methods

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Evaluation/Rating

Classification

Object Detection

Bounding Box

Freelancer Overview

MICHAEL KIPSANG Nairobi, Kenya +254 799 819 508 — [email protected] linkedin.com/in/kipsangmichael-ai PROFESSIONAL SUMMARY Highly detail-oriented AI Data Annotation Specialist with over 3 years of experience supporting ma- chine learning and artificial intelligence projects through data labeling, content evaluation, quality assurance, and research. Proven ability to interpret complex guidelines, maintain exceptional accu- racy, and deliver high-quality datasets for AI model training. Experienced in text, image, and content annotation,promptevaluation,andlarge-scaledatareviewprojects. Stronganalyticalskills,excellent written communication, and a consistent record of meeting productivity and quality targets in remote environments. CORE COMPETENCIES • AI Data Annotation • Data Labeling & Classification • Generative AI Evaluation • Prompt & Response Assessment • Quality Assurance • Data Validation • Image Annotation • Text Annotation • Content Moderation • Online Research • Fact Verification • Excel & Google Sheets • Process Documentation • Critical Thinking • Attention to Detail • Remote Collaboration PROFESSIONAL EXPERIENCE Senior AI Data Annotation Specialist January 2024 – Present TechData Solutions Ltd. — Remote • Annotate and classify large-scale text datasets used for training Large Language Models (LLMs). • Evaluate AI-generated responses for factual accuracy, coherence, safety, and instruction adherence. • Maintain annotation accuracy above 98% while consistently

Labeling Experience

Large Language Model (LLM) Response Evaluation & Alignment

TextRLHF

Worked as Senior AI Data Annotation Specialist with focus on the rigorous evaluation and alignment of Large Language Models (LLMs). Reviewed 50,000+ AI generated outputs with detailed, multi-dimensional quality taxonomies and complex project guidelines. Key responsibilities and achievements: - Evaluated model outputs for factuality, adherence to prompt instructions, context awareness, safety and fluency of language. - Identified, documented and categorized subtle logical fallacies, edge-case bugs, and hallucinatory behavior in model outputs to improve training loops. - Performed extensive online research and fact-verification from authoritative sources to audit the veracity of the generated content. Consistently achieved greater than 98% annotation and evaluation accuracy and regularly exceeded platform productivity and throughput benchmarks.

2024 - Present

Computer Vision & High-Precision Image Annotation

ImageObject Detection

Performed extensive image annotation and data labeling to train computer vision models and machine learning applications. Processed thousands of visual data assets efficiently while strictly adhering to complex, multi-tiered labeling taxonomies. Key responsibilities and achievements: - Applied spatial annotations (bounding boxes, polygons) to object detection and classification tasks. - Focused on edge-case detection and pixel-perfect boundary accuracy at all times to ensure high-quality generation of training datasets. - Developed thorough quality assurance and validation reviews of completed annotation work to find and correct classification or placement errors. - Met aggressive production deadlines and exceeded project quality targets consistently while helping achieve an overall historical dataset accuracy rate of over 98%

2022 - 2023

Education

Work History