Damilare Adeoti

Key Skills

Software

Other

Remotasks

Scale AI

Top Subject Matter

RLHF English

LLM Evaluation in English

Generalist

Top Data Types

Text

Top Task Types

Evaluation/Rating

Fine-tuning

Prompt + Response Writing (SFT)

Question Answering

RLHF

Freelancer Overview

As an expert in data annotation and AI training, I specialize in evaluating, creating, and refining prompts to optimize AI model performance. My expertise spans across text, image, and audio annotation, ensuring that every dataset I work with is precisely labeled to train machine learning algorithms. I possess advanced skills in designing and rewriting prompts that enhance the training of NLP and computer vision models, contributing to the creation of more accurate, context-aware AI systems. With extensive experience in using various annotation tools and methodologies, I have worked on numerous AI-driven projects, ensuring the integrity and quality of training data. My ability to quickly adapt to new tools and techniques, coupled with my attention to detail, sets me apart in the field. Additionally, my problem-solving abilities and collaborative approach to working with cross-functional teams ensure that I meet project deadlines while maintaining high standards. Whether fine-tuning large datasets or evaluating AI outputs, I strive to help deliver AI systems that perform at their best.

Labeling Experience

CYPHER RLHF

Scale AITextClassificationRLHF

I worked on the Cypher RLHF (Reinforcement Learning with Human Feedback) project on Remotasks, where my primary role involved providing human feedback to improve AI models. The project focused on using reinforcement learning to fine-tune AI systems by incorporating human evaluations and corrections to enhance the quality of AI-generated responses. My tasks included labeling data, reviewing AI outputs, and adjusting prompts to ensure the AI's responses aligned more closely with human expectations. Through this process, I contributed to optimizing the model's performance, enabling it to better understand context and generate more accurate, useful outputs. It was an exciting opportunity to directly influence the development of AI systems and further enhance their real-world applications.

I worked on the Cypher RLHF (Reinforcement Learning with Human Feedback) project on Remotasks, where my primary role involved providing human feedback to improve AI models. The project focused on using reinforcement learning to fine-tune AI systems by incorporating human evaluations and corrections to enhance the quality of AI-generated responses. My tasks included labeling data, reviewing AI outputs, and adjusting prompts to ensure the AI's responses aligned more closely with human expectations. Through this process, I contributed to optimizing the model's performance, enabling it to better understand context and generate more accurate, useful outputs. It was an exciting opportunity to directly influence the development of AI systems and further enhance their real-world applications.

2024 - 2024

Education

Work History