Collins K.

Key Skills

Software

Don't disclose

Top Subject Matter

AI language models (LLM) evaluation and safety/content quality

Prompt engineering and structured dataset creation for LLM training/benchmarking

Model evaluation and iterative refinement for AI output quality

Top Data Types

Text

Video

Top Task Types

Prompt + Response Writing (SFT)

Fine-tuning

Freelancer Overview

AI trainer focused on prompt/content review, safety alignment, and response QA. Core strengths include Don't disclose. Education includes Bachelor of Information Technology, N/A (2024) and Bachelor of Computer Science, N/A (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI trainer / data specialist performing evaluations to improve model performance

Don't discloseTextFine-tuning

Conducted data analysis and model evaluations to refine AI outputs, targeting reductions in processing errors. Reviewed model behavior and performance to inform improvements to training data and evaluation criteria. Focused on optimizing output quality through iterative assessment. • Analyzed evaluation results to identify failure modes. • Updated evaluation approach based on observed errors. • Used feedback loops to improve AI output accuracy. • Supported improvements that reduced processing errors by 20%.

2022 - 2024

LLM dataset designer and AI trainer (prompt-based training data creation)

Don't discloseTextPrompt + Response Writing (SFT)

Created structured datasets by designing complex prompts and writing detailed expert-level domain content to train and benchmark LLMs. Curated high-quality training data intended to improve model precision and overall performance. Designed dataset inputs to support consistent training and evaluation of language models. • Wrote domain-specific expert instructions and prompt templates. • Built structured training datasets for LLM benchmarking. • Curated data quality to support improved model precision. • Iteratively refined prompts to improve output reliability.

2022 - 2024

AI trainer focused on prompt/content review, safety alignment, and response QA

Don't discloseText

Evaluated and graded AI-generated responses for tone, clarity, factual correctness, and harmful content to ensure alignment with human values. Performed quality assurance and manual reviews to maintain consistent standards for model outputs. Provided actionable feedback to help refine AI behavior and outputs. • Assessed response quality along safety and relevance dimensions. • Rated and verified factual accuracy and contextual appropriateness. • Reviewed advanced language model outputs during QA cycles. • Reduced processing errors by conducting iterative evaluation and refinement.

2022 - 2024

Education

Work History