Samuel E.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Conversational AI / language datasets

AI content evaluation / prompt-response review

Community feedback analysis for digital engagement

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

AI Training & Annotation Contributor – Synaptech Research Collective (Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Science, University of Uyo (2024) and Certificate, Coursera (2025). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

AI Training & Annotation Contributor – Synaptech Research Collective (Remote)

Don't discloseTextPrompt + Response Writing (SFT)

Conducted data annotation and task-based evaluation to support AI model training for conversational systems. Performed linguistic and contextual reviews of conversational AI datasets and tested prompts to observe model behavior patterns. Documented structured feedback for AI optimization teams to improve subsequent training cycles. • Annotated conversational AI dataset examples for training • Reviewed linguistic/contextual quality of dialogue data • Evaluated prompts by testing and recording model responses • Produced feedback reports to guide model optimization

2024 - Present

AI Data & Content Evaluation Associate – NeuralPath Labs (Remote)

OtherText

Reviewed AI-generated responses to assess quality, relevance, and factual consistency. Performed structured data labeling and prompt-response evaluations, then flagged biased, unsafe, or low-quality outputs according to review guidelines. Assisted in dataset refinement activities to improve model training accuracy. • Labeled prompt-response pairs based on quality and safety criteria • Evaluated factual consistency and relevance of AI outputs • Flagged unsafe, biased, or low-quality responses per guidelines • Supported dataset refinement for improved training performance

2025 - 2025

Moderator & Collab Manager – The Color Blocks (Remote, UK)

Don't discloseText

Moderated community interactions and collected feedback data used to understand user behavior trends. Summarized user insights from qualitative analysis to support product and community improvement efforts. Led structured discussions and knowledge-sharing sessions that fed back into community engagement analysis. • Monitored and categorized community interactions • Collected and summarized user feedback data • Identified behavioral trends via qualitative analysis • Facilitated discussions to improve engagement outcomes

2024 - 2025

Education

Work History