Samuel Taliat

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Label Types

Action Recognition

Classification

Data Collection

Evaluation Rating

Fine Tuning

Object Detection

Question Answering

RLHF

Text Generation

Text Summarization

Translation Localization

Freelancer Overview

I am a detail-oriented academic writer and research specialist with hands-on experience in reviewing, evaluating, and refining AI-generated content to ensure accuracy, logical coherence, and factual correctness. These skills are essential in reinforcement learning from human feedback (RLHF) and managing AI training data workflows. With a B.Sc. in Microbiology from Obafemi Awolowo University (GPA: 3.72), I have honed my ability to analyze complex information systematically, adhere to multi-step guidelines with precision, and maintain a zero-error standard across high-volume tasks. My expertise includes data annotation, quality assurance, and fact-checking using academic databases, alongside developing prompts — consistently delivering structured, credible outputs in the healthcare, life sciences, and technology fields. What truly sets me apart is my unique blend of scientific rigor and language proficiency that I apply to every labeling task. As a native English speaker, I have extensive experience adapting tone, style, and structure to meet strict formatting guidelines. I excel at interpreting nuanced annotation rubrics and applying them with consistency. My certifications in Data Visualization and Analysis from Coursera, a laboratory internship at FOWM Biotechnology, and my background in technical documentation further underscore my ability to handle structured, detail-intensive work dependably. I am self-motivated, ready for remote work, and deeply committed to producing high-quality, well-reasoned training data that significantly enhances AI and machine learning models.

Labeling Experience

Education

Work History