Brown H.

Key Skills

Software

Remotasks

Toloka

Scale AI

Labelbox

Appen

Top Subject Matter

Multimodal AI datasets (STEM, economics, finance, social sciences) including mathematics

Physics Domain Expertise

and chemistry

Top Data Types

Image

Text

Document

Top Task Types

Classification

Object Detection

Text Generation

Freelancer Overview

Freelance AI Training Specialist — Remotasks (Scale AI). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Remotasks, Scale AI, and Labelbox. Education includes Master’s Degree, Faculty of Sciences, University of Antananarivo (2022) and Bachelor’s Degree, INSI, Antananarivo (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance AI Training Specialist — Remotasks (Scale AI)

RemotasksImage

Freelance AI Training Specialist performing high-accuracy data annotation and data labeling for machine learning models across images and text. Responsibilities included quality assurance checks, data quality validation, and review/validation of AI-generated content in French, English, and Italian. Work focused on hallucination detection and message drift detection with structured feedback to improve model performance and integrity. • Annotated 12,000+ images and text entries while maintaining accuracy above 95% on QA checks. • Processed 500+ tasks per week across 12+ concurrent multimodal projects (text, image, code, STEM) using labeling tools and structured data formats (SQL, CSV, JSON). • Reviewed and validated AI-generated content for cultural inconsistencies and coherence, applying rubric adherence and guideline compliance. • Supported ethical and privacy-aware annotation by identifying error patterns and improving machine learning data pipelines.

2023 - Present

Freelance Data Annotation Specialist — Appen

AppenText

Freelance Data Annotation Specialist providing text annotation, data labeling, image annotation, and content evaluation for machine learning projects. Responsibilities emphasized data quality and data integrity through guideline adherence, attention to detail, and structured feedback. Work included multilingual coherence assessment and inter-annotator consistency to support high-volume annotation workflows. • Produced and validated labeled datasets resulting in a 15% improvement in dataset relevance scores through rigorous QA. • Reviewed and validated AI-generated content using data annotation tools, ensuring data quality across machine learning workflows. • Applied STEM domain expertise (mathematics, physics, chemistry, computer science) to improve annotation accuracy and integrity. • Assessed cultural and linguistic coherence in French, English, and Italian for economics, finance, psychology, and social sciences while maintaining guideline compliance.

2022 - 2022

Education

Work History