Shalom M.

Key Skills

Software

Remotasks

iMerit

Scale AI

CloudFactory

Top Subject Matter

Swahili Language

Ai/nlp Domain Expertise

Machine Learning

Top Data Types

Image

Video

Audio

Text

Document

Top Task Types

Text Generation

Data Collection

Object Detection

Classification

Freelancer Overview

AI Data Annotator / Language Evaluator. Core strengths include Scale AI, CloudFactory, and CrowdGen. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Data Annotator

TextClassification

As a Data Annotator at CrowdGen, I labeled and categorized text data for AI model training. I detected and corrected classification and language errors to maintain high productivity in annotation tasks. I ensured all data adhered to established guidelines and standards for quality. • Classified text data for use in natural language processing • Identified and resolved annotation errors • Maintained productivity managing detailed annotation assignments • Utilized CrowdGen's proprietary annotation platform for remote projects.

Present

Data Annotator

CloudFactoryTextClassification

As a Data Annotator at CloudFactory, I performed text and content annotation tasks for machine learning datasets. I reviewed annotated data to ensure accuracy, consistency, and compliance with specific project guidelines. I conducted quality assurance checks and made corrections to annotation inconsistencies as needed. • Executed text labeling and annotation for AI development • Ensured data quality through thorough reviews and corrections • Worked within CloudFactory's remote data annotation platform • Supported data accuracy for machine learning model training.

Present

AI Data Annotator / Language Evaluator

Scale AIText

As an AI Data Annotator and Language Evaluator at Scale AI, I annotated and reviewed large datasets used for training AI language models. I evaluated AI-generated responses for linguistic accuracy and contextual correctness, identifying errors to support model improvement. I maintained high accuracy and productivity while adhering to strict project guidelines and quality standards. • Annotated text data for AI model training and evaluation • Detected grammatical, semantic, and logical errors in AI outputs • Documented reproducible error patterns to aid model enhancement • Ensured compliance with annotation guidelines using Scale AI's specialized tools.

Present

Education

Work History