Key Skills

Software

Scale AI

Top Subject Matter

Physics Prompts

Python Coding

Mathematics Prompts

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Computer Programming Coding

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

Freelancer Overview

I have worked a lot in AI training and data labelling including developing testing and iterating sophisticated prompts aimed at testing the cognitive defecits of AI models. My role is mainly dedicated to designing cases where there are specific logical sequences and concepts mostly in physics to test and improve the model. I have skills in the evaluation and assessment of AI outputs. I assess if any computations, logical deductions or interpretations are incorrect, and communicate in a systematic manner to improve the outputs. As a procedure, I do not skip steps, therefore it does not matter how complex a situation is, its’ description includes independent variables, dependent variables, possible outcomes and tight structure to obey science. I am equally capable of developing training data for more specific purposes such as common sense reasoning, problem solving through deduction and even conceptual physics integration. I do not hesitate to exploit my knowledge of physics to produce complex self-made prompts that show the true potential of AI models that go beyond arithmetic or simple logic tricks. This way, training data is guaranteed to be of high quality and that model reasoning and flexibility will be enhanced. With an emphasis on detail, succinctness and application, I bring an unusual blend of systematic-thinking, scientific literacy and practical innovation into AI training.

Labeling Experience

Physics AI Training

Scale AITextPrompt Response Writing SFT

Creating, refining, and testing physics-related prompts to challenge AI models, focusing on logical reasoning and conceptual problem-solving. This involves generating original scenarios with clear solutions, verifying AI responses step-by-step, identifying errors, and providing corrections in structured formats like LaTeX. My goal is to evaluate and improve the model’s reasoning capabilities by designing nuanced, real-world problems that require precise scientific understanding and eliminating ambiguity in the prompts and solutions.

Creating, refining, and testing physics-related prompts to challenge AI models, focusing on logical reasoning and conceptual problem-solving. This involves generating original scenarios with clear solutions, verifying AI responses step-by-step, identifying errors, and providing corrections in structured formats like LaTeX. My goal is to evaluate and improve the model’s reasoning capabilities by designing nuanced, real-world problems that require precise scientific understanding and eliminating ambiguity in the prompts and solutions.

2024

Education

Work History