Jeremy Gross

Key Skills

Software

Remotasks

Micro1

Mercor

Top Subject Matter

E-commerce Product Data & Taxonomy

Purchasing Behavior Analytics

Customer Feedback Analysis/NLP

Top Data Types

Text

Audio

Document

Top Task Types

Classification

Prompt Response Writing SFT

Text Generation

Question Answering

Text Summarization

Transcription

Data Collection

Freelancer Overview

Data Scientist (Data Labeling for ML Training). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Internal, and Proprietary Tooling. Education includes Bachelor of Science, University of California, San Diego (2016). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Scientist (Data Labeling for ML Training)

RemotasksTextClassification

As a Data Scientist at Remotask, I developed and deployed machine learning models that required annotated text data for training and testing. My responsibilities included preparing and classifying datasets for supervised learning applications, ensuring that the data was properly labeled for customer purchasing prediction models. I utilized text-based data drawn from e-commerce transactions and customer records, guiding best practices for data annotation and validation. • Labeled and classified text data for use in predictive modeling. • Collaborated with cross-functional teams to define labeling standards and protocols. • Ensured data quality and accuracy by performing QA on annotated datasets. • Utilized Remotasks platform for annotation workflows and task management.

As a Data Scientist at Remotask, I developed and deployed machine learning models that required annotated text data for training and testing. My responsibilities included preparing and classifying datasets for supervised learning applications, ensuring that the data was properly labeled for customer purchasing prediction models. I utilized text-based data drawn from e-commerce transactions and customer records, guiding best practices for data annotation and validation. • Labeled and classified text data for use in predictive modeling. • Collaborated with cross-functional teams to define labeling standards and protocols. • Ensured data quality and accuracy by performing QA on annotated datasets. • Utilized Remotasks platform for annotation workflows and task management.

2020 - 2025

Data Science Intern (NLP Data Labeling)

TextClassification

During my internship at Dell Technologies, I assisted in the development of a natural language processing model by contributing to the labeling and categorization of customer feedback data. My work involved classifying customer comments according to sentiment and intent, directly supporting model accuracy improvements and actionable insights. I coordinated data collection, quality checks, and labeling documentation throughout the NLP pipeline. • Categorized and labeled customer feedback for sentiment analysis. • Maintained accurate records of annotation activities and sample distributions. • Collaborated with data scientists to align on label definitions and criteria. • Used internal tooling for text data annotation and quality review.

During my internship at Dell Technologies, I assisted in the development of a natural language processing model by contributing to the labeling and categorization of customer feedback data. My work involved classifying customer comments according to sentiment and intent, directly supporting model accuracy improvements and actionable insights. I coordinated data collection, quality checks, and labeling documentation throughout the NLP pipeline. • Categorized and labeled customer feedback for sentiment analysis. • Maintained accurate records of annotation activities and sample distributions. • Collaborated with data scientists to align on label definitions and criteria. • Used internal tooling for text data annotation and quality review.

2016 - 2017

Education

Work History