Sammy T.

Key Skills

Software

Scale AI

Axiom AI

Clickworker

Data Annotation Tech

Dataloop

Datasaur

Doccano

Img Lab

Kili Technology

Labelbox

Top Subject Matter

AI Model Training and Evaluation

AI Model Instruction

Prompt Engineering

Top Data Types

Text

Image

Top Task Types

RLHF

Text Summarization

Text Generation

Question Answering

Classification

Freelancer Overview

AI Training Contributor. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Luel AI and Scale AI. Education includes Bachelor of Technology, Federal University of Technology, Akure. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI Training Contributor

Text

Actively participated in the training of large language models by annotating and evaluating their outputs. Tasks included instruction-response evaluation, data annotation, and feedback collection to support RLHF pipelines. Contributed to the improvement of AI model performance through consistent application of guidelines and review standards. • Reviewed and rated AI-generated responses for accuracy, helpfulness, safety, and alignment. • Followed comprehensive annotation guidelines to ensure high data labeling quality standards. • Supported the creation of reliable datasets for instruction-following and content moderation purposes. • Demonstrated deep understanding of AI workflows and model improvement needs.

2024 - Present

AI Tools & Prompt Engineer (Freelance)

Scale AITextRLHF

Conducted extensive AI data labeling and prompt engineering for clients on various annotation platforms. Labeled data included responses from language models and structured datasets for automation workflows. Performed quality control by identifying inconsistencies, hallucinations, and providing annotation feedback. • Labeled and reviewed both text and image data for AI training and evaluation tasks. • Crafted and tested thousands of prompts and evaluated LLM outputs for accuracy and relevance. • Applied RLHF methods and prompt-based evaluation to optimize language model performance. • Maintained high quality via consistent feedback, following detailed project guidelines.

2022 - Present

Education

Work History