Said M.

Key Skills

Software

Data Annotation Tech

Mercor

Label Studio

Other

Top Subject Matter

AI training data annotation (image and text) and AI response quality evaluation

AI-assisted software evaluation and validation

Document organization supporting reporting workflows (indirect data preparation)

Top Data Types

Text

Document

Image

Top Task Types

Classification

Text Generation

Text Summarization

Question Answering

Data Collection

Prompt + Response Writing (SFT)

Transcription

Bounding Box

Freelancer Overview

AI Trainer & Image Annotation Specialist (Freelance AI Projects). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, CVAT Annotation Tool, and Other. Education includes Diploma in Petroleum Geoscience, The Rift Valley Technical Training Institute (2023) and Kenya Certificate of Secondary Education (KCSE), Muguku Tumaini High School (2017). AI-training focus includes data types such as Image, Text, and Document and labeling workflows including Bounding Box, Evaluation, and Rating.

Labeling Experience

Remote Executive Virtual Assistant (ClearLedger Solutions Ltd)

DocumentData Collection

Supported remote administrative operations by maintaining structured digital records and documentation used for reporting workflows. Assisted with document review, data organization, and remote communication coordination. While not a primary data-labeling role, the work contributed to structured dataset/document preparation and operational data quality. • Organized operational documentation for reporting • Assisted with document review and data organization • Maintained accurate digital records • Coordinated remote communication for distributed teams

2025 - Present

AI Trainer & Data Evaluation Specialist (Freelance, Remote)

OtherImageBounding Box

Supported AI-assisted software quality through data validation and accuracy checks for AI-assisted tools. Tested software interfaces and workflows to identify usability issues and inconsistencies, then documented bugs, errors, and performance concerns. Contributed to quality assurance reporting and process improvements using detailed analytical feedback. • Performed data validation and accuracy checks for AI-assisted tools • Tested software workflows for usability and consistency issues • Reviewed application functionality and documented issues • Produced QA reporting to support process improvements

2024 - Present

Education

Work History