Rosemary K.

Key Skills

Software

Other

CloudFactory

Remotasks

Top Subject Matter

LLM Training

Natural Language Processing

Machine Learning

Top Data Types

Text

Image

Top Task Types

Classification

Segmentation

Freelancer Overview

AI Tutor / AI Trainer | Handshake AI. Core strengths include Other, CloudFactory, and Remotasks. Education includes Bachelor of Science, Kibabii University. AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Tutor / AI Trainer | Handshake AI

OtherText

As an AI Tutor/AI Trainer at Handshake AI, I evaluated large language model outputs for accuracy, safety, and instruction adherence. I performed pairwise comparisons and ranking of text data to enhance the performance of LLMs. I explained my reasoning with precise technical justifications and maintained high quality in a fast-paced environment. • Performed ranking and side-by-side evaluation for complex LLM tasks. • Provided written feedback on model behavior and logic. • Ensured consistency with detailed technical explanations. • Focused on safe and ethical model refinement.

2025 - Present

Data Annotation Specialist | CloudFactory

CloudFactoryTextClassification

As a Data Annotation Specialist at CloudFactory, I annotated large-scale datasets for machine learning model training. I executed tagging, classification, and validation tasks to support various AI applications. My role required maintaining accuracy standards and processing high data volumes on a remote basis. • Labeled data with tags and categories for supervised learning. • Validated machine learning outputs for accuracy. • Ensured dataset consistency and high annotation quality. • Supported multimodal projects as needed.

2024 - Present

Data Annotation Specialist | Remotask

RemotasksImageSegmentation

As a Data Annotation Specialist at Remotask, I completed image segmentation and object tagging projects for visual AI models. I maintained a 98%+ annotation accuracy rate throughout various technical projects. I was able to identify edge cases and inconsistencies to drive model improvements. • Conducted high-precision image segmentation tasks. • Tagged and labeled visual objects for training sets. • Flagged challenging and edge-case samples. • Documented annotation challenges for team review.

2024 - 2024

Education

Work History