For employers

Hire this AI Trainer

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

LoginCreate account
Invite to Job
Joy Norah Samuel

Joy Norah Samuel

AI Training & Evaluation – Project Diamond (Handshake AI)

Nigeria flagN/A, Nigeria
$65.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

LLM/AI Response Evaluation
ML Data Curation and Enhancement
AI Data Preparation and Structuring

Top Data Types

TextText
DocumentDocument

Top Task Types

Data Collection

Freelancer Overview

AI Training & Evaluation – Project Diamond (Handshake AI). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, MIT (2022) and Master of Science, MIT (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

ExpertEnglishGerman

Labeling Experience

AI Training & Evaluation – Project Diamond (Handshake AI)

Text
In Project Diamond for Handshake AI, I annotated and evaluated AI-generated responses to ensure alignment with project guidelines. My work focused on maintaining consistency and high standards in evaluating the quality of outputs. I applied detailed analysis to provide actionable feedback for ongoing model improvement. • Evaluated and rated large language model (LLM) responses • Checked outputs for consistency, relevance, and guideline adherence • Contributed to structured dataset curation for training and testing • Collaborated remotely with interdisciplinary AI teams

In Project Diamond for Handshake AI, I annotated and evaluated AI-generated responses to ensure alignment with project guidelines. My work focused on maintaining consistency and high standards in evaluating the quality of outputs. I applied detailed analysis to provide actionable feedback for ongoing model improvement. • Evaluated and rated large language model (LLM) responses • Checked outputs for consistency, relevance, and guideline adherence • Contributed to structured dataset curation for training and testing • Collaborated remotely with interdisciplinary AI teams

2023 - Present

Machine Learning Engineer – Data Curation

TextData Collection
As a Machine Learning Engineer, I enhanced AI datasets by curating and preparing data for training and model accuracy improvement. I focused on structuring text-based data for predictive model development. My efforts improved model readiness and data pipeline efficiency. • Gathered and organized large-scale textual datasets • Processed and cleaned text data for machine learning pipelines • Ensured data quality and guideline compliance throughout annotation • Collaborated with data science teams to refine dataset features

As a Machine Learning Engineer, I enhanced AI datasets by curating and preparing data for training and model accuracy improvement. I focused on structuring text-based data for predictive model development. My efforts improved model readiness and data pipeline efficiency. • Gathered and organized large-scale textual datasets • Processed and cleaned text data for machine learning pipelines • Ensured data quality and guideline compliance throughout annotation • Collaborated with data science teams to refine dataset features

2022 - 2023

Data Entry Specialist – AI Data Structuring

TextData Collection
As a Data Entry Specialist, I structured and maintained high-quality datasets for AI pipelines to ensure optimal downstream performance. My responsibilities included cleaning, organizing, and verifying text data before integrating it into machine learning workflows. This contributed significantly to the quality and integrity of the training data used in AI systems. • Structured, cleaned, and labeled text data for AI models • Ensured accurate input and output data for machine learning tasks • Maintained high data accuracy through verification processes • Supported continual data pipeline improvements

As a Data Entry Specialist, I structured and maintained high-quality datasets for AI pipelines to ensure optimal downstream performance. My responsibilities included cleaning, organizing, and verifying text data before integrating it into machine learning workflows. This contributed significantly to the quality and integrity of the training data used in AI systems. • Structured, cleaned, and labeled text data for AI models • Ensured accurate input and output data for machine learning tasks • Maintained high data accuracy through verification processes • Supported continual data pipeline improvements

2020 - 2023

Education

M

MIT

Master of Science, Software Engineering

Master of Science
2020 - 2022
M

MIT

Bachelor of Science, Software Engineering

Bachelor of Science
2016 - 2020

Work History

N

N/A

AI & Software Engineer

N/A
2023 - Present
N

N/A

Machine Learning Engineer

N/A
2022 - 2023