For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
N
Nathan C.

Nathan C.

AI Application Developer & Model Evaluator

United Kingdom flagredruth, United Kingdom

Key Skills

Software

No software listed

Top Subject Matter

Artificial Intelligence & Machine Learning
Software Development
Web & Mobile Applications
Business Process Automation
Data Analysis & Information Retrieval

Top Data Types

ImageImage
TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Question AnsweringQuestion Answering
Text GenerationText Generation
Text SummarizationText Summarization
RLHFRLHF
Red TeamingRed Teaming
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

I have hands-on experience using and evaluating modern AI systems including ChatGPT, Claude, Gemini, Grok, and OpenRouter-based models. My work involves comparing model outputs, testing reasoning quality, identifying inaccuracies, refining prompts, and assessing responses across a wide range of subjects including software development, business strategy, research, and content generation. I also build AI-powered applications and workflows using tools such as Supabase, Convex, Vercel, vector databases, embeddings, and agent-based systems. Through these projects I regularly work with data structuring, information retrieval, prompt engineering, response evaluation, and quality assurance. This has given me practical experience reviewing AI-generated outputs for accuracy, relevance, instruction-following, and overall performance.

Labeling Experience

While I have not held a formal data labeling role, I have extensive hands-on experience evaluating AI model outputs acro

While I have not held a formal data labeling role, I have extensive hands-on experience evaluating AI model outputs across ChatGPT, Claude, Gemini, Grok, and other LLMs. This includes assessing response quality, factual accuracy, reasoning, instruction-following, safety, and consistency across a wide range of topics. I have also built and tested AI-powered applications, created prompt workflows, compared model performance, identified errors and hallucinations, and iteratively improved outputs through structured feedback. While my experience is primarily practical rather than professional data annotation, many of the skills overlap with AI training and evaluation work.

Not specified

Education

C

Computer science analysing music frequencies

Degree not specified

Not specified
Not specified

Work History

R

Routenote

Dev work

Location not specified
Not specified