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Manasi Bhosale

Manasi Bhosale

AI Training Engineer, Data Engineering and Machine Learning

UNITED_KINGDOM flag
Dudley, United Kingdom
$30.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

TextText
ImageImage
DocumentDocument

Top Label Types

Classification
Question Answering
Text Generation
Evaluation Rating
Prompt Response Writing SFT
Entity Ner Classification
Text Summarization

Freelancer Overview

I am an experienced data engineer and AI training specialist with a strong background in data annotation, labeling, and the creation of high-quality training datasets for machine learning and generative AI models. My expertise includes designing and evaluating complex computer science, ML, and data engineering tasks, as well as reviewing and improving AI model outputs through structured feedback. I have hands-on experience annotating and classifying diverse data types, including text, images, and documents, for supervised learning pipelines. My technical toolkit spans Python, PySpark, SQL, TensorFlow, PyTorch, OpenCV, and advanced data visualization tools like Power BI and Tableau. I have contributed to projects in computer vision, NLP, and predictive analytics, such as intelligent character recognition, relation extraction using BERT, and deep learning-based classification systems. I am passionate about ensuring data quality, optimizing pipelines, and advancing the reliability and performance of AI systems through meticulous data preparation and validation.

IntermediateHindiMarathi

Labeling Experience

AI Trainer – Data Annotation & Model Evaluation

Internal Proprietary ToolingTextClassificationQuestion Answering
Reviewed and evaluated AI-generated responses for accuracy, coherence, and relevance to improve model performance. Conducted data annotation, sentiment analysis, and prompt refinement to enhance AI training datasets. Identified biases, inconsistencies, and gaps in AI responses, ensuring high-quality outputs for machine learning models.

Reviewed and evaluated AI-generated responses for accuracy, coherence, and relevance to improve model performance. Conducted data annotation, sentiment analysis, and prompt refinement to enhance AI training datasets. Identified biases, inconsistencies, and gaps in AI responses, ensuring high-quality outputs for machine learning models.

2024 - 2024

AI Trainer – Data Labeling & Annotation

Internal Proprietary ToolingDocumentEntity Ner ClassificationClassification
In this project, I was tasked with analyzing lengthy documents to create a natural-sounding prompt, develop a detailed rubric, and evaluate model-generated responses. The goal was to assess how well AI can interpret reference texts and produce ideal answers based on specific criteria. My work involved reviewing the documents, defining clear evaluation guidelines, and assessing model responses to ensure their relevance, clarity, and alignment with the established rubric. The project aimed to improve model performance in interpreting complex text and generating more accurate, context-aware responses.

In this project, I was tasked with analyzing lengthy documents to create a natural-sounding prompt, develop a detailed rubric, and evaluate model-generated responses. The goal was to assess how well AI can interpret reference texts and produce ideal answers based on specific criteria. My work involved reviewing the documents, defining clear evaluation guidelines, and assessing model responses to ensure their relevance, clarity, and alignment with the established rubric. The project aimed to improve model performance in interpreting complex text and generating more accurate, context-aware responses.

2024

AI Trainer – Data Annotation & Model Evaluation

Internal Proprietary ToolingImageClassificationQuestion Answering
Worked on annotating and classifying images of tables, graphs, and other visual data representations across various domains such as Mathematics, Computer Science, and Management. The task involved identifying key data points, such as financial metrics, mathematical equations, or statistical results, and ensuring their accuracy and relevance for machine learning model training. Focused on enhancing the model’s ability to interpret visual information, analyze complex datasets, and improve the understanding of subject-specific metrics. The project aimed to ensure high-quality labeled data, helping to refine AI models for better performance in diverse applications.

Worked on annotating and classifying images of tables, graphs, and other visual data representations across various domains such as Mathematics, Computer Science, and Management. The task involved identifying key data points, such as financial metrics, mathematical equations, or statistical results, and ensuring their accuracy and relevance for machine learning model training. Focused on enhancing the model’s ability to interpret visual information, analyze complex datasets, and improve the understanding of subject-specific metrics. The project aimed to ensure high-quality labeled data, helping to refine AI models for better performance in diverse applications.

2024

Education

T

The University of Manchester

Master of Science, Advanced Computer Science

Master of Science
2023 - 2024
S

Savitribai Phule Pune University

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering
2017 - 2021

Work History

A

Alignerr

AI Training Engineer

Dudley
2025 - Present
O

Outlier

AI Training Engineer

Dudley
2025 - Present