Jeremiah A.

Key Skills

Software

Other

Appen

Top Subject Matter

Large Language Model (LLM) training

AI output evaluation

safety/content moderation

Top Data Types

Text

Image

Top Task Types

RLHF

Classification

Red Teaming

Freelancer Overview

Data Analyst - Circular Consult. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include data annotation, AI evaluation and data labeling. Education includes Master of Science, Kwame Nkrumah University of Science and Technology & University of Toronto (2025) and Bachelor of Business Administration, Kwame Nkrumah University of Science and Technology (2023). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF, Classification, and Red Teaming.

Labeling Experience

Data Analyst - Circular Consult

AppenClassification

In this role, you support research and analytics for drinking water quality assessments using laboratory and environmental data. You perform statistical analyses to understand patterns, relationships, and comparative results relevant to public health. You also assist in computing and interpreting Water Quality Index outputs and supporting human health risk evaluation. • Conduct integrated data analysis combining laboratory measurements with statistical methods • Run correlation and comparative analyses using IBM SPSS and Microsoft Excel • Support Water Quality Index (WQI) computation, classification, and interpretation • Assist in exposure pathway evaluation and health risk implications for reporting

2024 - Present

Content Moderation & Safety Annotation — toxicity/bias/risk labeling (2022–Present)

OtherTextRed Teaming

Labeled and evaluated sensitive content datasets for compliance with AI safety and policy guidelines. Categorized content for toxicity, bias detection signals, and risk classification categories. Applied moderation and safety taxonomies to ensure consistent and compliant dataset outputs. • Assessed and labeled toxicity and harmfulness indicators • Identified potential bias and risk categories within content • Ensured compliance with project safety/policy requirements • Produced accurate moderation-oriented labels for dataset improvement

2022 - Present

Multimodal AI Annotation Support — image/text classification and metadata tagging (2022–Present)

OtherImageClassification

Contributed to multimodal AI annotation by supporting image and text-based classification and labeling tasks for AI training datasets. Added metadata tags to improve dataset structure and downstream model learning. Helped ensure content categories aligned with safety and moderation requirements. • Classified content using project-defined categories and labels • Added metadata tagging to support dataset organization • Supported text-plus-image training data preparation workflows • Participated in content moderation and safety-oriented categorization

2022 - Present

AI Trainer & Data Annotation Specialist (Remote Freelance) — Prolific / AI training marketplaces (2022–Present)

OtherTextRLHF

Delivered RLHF-style evaluation by assessing AI-generated responses for reasoning quality, accuracy, contextual alignment, and policy compliance. Performed structured ranking and comparative scoring across multiple LLM outputs using criteria such as clarity, instruction adherence, factual correctness, and ethical/safety requirements. Applied evolving annotation taxonomies consistently across multiple AI training environments. • Evaluated model responses against project guidelines for relevance, consistency, and adherence • Produced written rationales supporting evaluation and ranking decisions • Conducted safety evaluations aligned with ethical standards and content moderation policies • Maintained high annotation accuracy (95–98% approval) across projects

2022 - Present

Education

Work History