Henry G.

Key Skills

Software

Scale AI

Appen

Top Subject Matter

AI model evaluation and dataset annotation (multimodal)

Computer vision and NLP dataset labeling

Dataset preparation and quality assurance for analytics

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Classification

Data Collection

Freelancer Overview

AI Model Trainer & Data Annotation Specialist (Freelance Remote Contractor). Core strengths include Scale AI, Outlier AI, and Appen. Education includes Bachelor of Science, University of Uyo. AI-training focus includes data types such as Text and Image and labeling workflows including RLHF, Classification, and Data Collection.

Labeling Experience

AI Model Trainer & Data Annotation Specialist (Freelance Remote Contractor)

Scale AITextRLHF

Trained and evaluated AI model outputs using RLHF-based quality and safety assessment frameworks across large-scale text, image, audio, and video projects. Assessed responses for relevance, factual accuracy, safety, and usefulness against detailed client guidelines. Ranked and reviewed model outputs to support iterative improvement cycles. • Relevance and factual consistency scoring • Safety and usefulness labeling/assessment • Prompt-quality evaluation and guideline compliance • QA checks to identify annotation inconsistencies

2023 - Present

Data Labelling Associate (Remote Contract Projects)

ImageClassification

Labeled datasets for image classification and object detection tasks, along with sentiment analysis for text-related categories. Validated and corrected annotations to reduce errors before final submission to ML teams. Maintained high-quality benchmark results across multiple dataset categories. • Image classification labeling • Object detection labeling • Sentiment analysis categorization • Validation and error correction prior to submission

2022 - 2022

Data Entry & Quality Analyst (Freelance)

TextData Collection

Performed data cleaning, validation, and accuracy verification to prepare structured datasets for analytics-oriented ML workflows. Maintained organized records and reports to support dataset preparation and consistency checks. Assisted with structured data preparation tasks to ensure reliable inputs for downstream modeling. • Data cleaning and preprocessing support • Validation and accuracy verification • Record keeping and reporting • Structured dataset preparation assistance

2021 - 2022

Education

Work History