Antoinette Monk

Key Skills

Software

Mindrift

Other

Top Subject Matter

Conversational AI

Virtual Assistants

Natural Language Processing

Top Data Types

Text

Image

Top Task Types

Fine Tuning

Freelancer Overview

AI Trainer at Mindrift AI. Core strengths include Mindrift and Other. Education includes Bachelor of Science, New York University (2025). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning, Evaluation, and Rating.

Labeling Experience

AI Trainer at Atlas capture

OtherText

At Atlas capture, I was responsible for training, assessing, and evaluating machine learning models for autonomous navigation systems. My main tasks involved processing and quality-controlling large sets of textual data and reporting on model assessment. I collaborated with diverse teams to exceed performance and quality benchmarks in model deployment. • Developed and managed high-quality input datasets for model training. • Led cross-functional evaluations to ensure superior model performance. • Conducted detailed documentation and reporting on findings. • Supported roll-out of products based on robust evaluation metrics.

At Atlas capture, I was responsible for training, assessing, and evaluating machine learning models for autonomous navigation systems. My main tasks involved processing and quality-controlling large sets of textual data and reporting on model assessment. I collaborated with diverse teams to exceed performance and quality benchmarks in model deployment. • Developed and managed high-quality input datasets for model training. • Led cross-functional evaluations to ensure superior model performance. • Conducted detailed documentation and reporting on findings. • Supported roll-out of products based on robust evaluation metrics.

2025 - 2025

AI Trainer at Mindrift AI

MindriftTextFine Tuning

As an AI Trainer at Mindrift AI, I led efforts to improve AI conversational models by fine-tuning on curated textual datasets. My work focused on enhancing natural language understanding for virtual assistants through iterative data-based training. I regularly incorporated feedback and utilized NLP techniques for increased response accuracy and user engagement. • Designed and executed training pipelines for chatbot and virtual assistant models. • Utilized deep learning methods for human-like dialogue generation. • Integrated user and QA feedback to optimize continuous learning. • Achieved a measurable 30% improvement in model reliability by evaluating AI outputs.

As an AI Trainer at Mindrift AI, I led efforts to improve AI conversational models by fine-tuning on curated textual datasets. My work focused on enhancing natural language understanding for virtual assistants through iterative data-based training. I regularly incorporated feedback and utilized NLP techniques for increased response accuracy and user engagement. • Designed and executed training pipelines for chatbot and virtual assistant models. • Utilized deep learning methods for human-like dialogue generation. • Integrated user and QA feedback to optimize continuous learning. • Achieved a measurable 30% improvement in model reliability by evaluating AI outputs.

2023 - 2024

Education

Work History