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Gotoora Mwita

Graduate Research Assistant – MIT CSAIL (Federated Learning & LLM Training)

KENYA flag
Nairobi, Kenya
$25.00/hrExpertAws SagemakerAxiom AIAnno Mage

Key Skills

Software

AWS SageMakerAWS SageMaker
Axiom AI
Anno-MageAnno-Mage
AppenAppen
ArgillaArgilla
ClickworkerClickworker

Top Subject Matter

Federated Learning
Language Modeling
Medical Imaging

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Fine Tuning
Diagnosis
Object Detection
RLHF
Prompt Response Writing SFT
Classification
Bounding Box
Segmentation
Polyline
Polygon
Entity Ner Classification
Point Key Point
Cuboid
Text Generation
Question Answering
Text Summarization
Red Teaming
Transcription
Evaluation Rating
Computer Programming Coding
Data Collection
Function Calling

Freelancer Overview

AI Data Validation & Model Training Specialist (Freelance). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and TensorFlow. Education includes Bachelor of Business Information Technology, Kabarak University (2021) and High School Diploma, N/A (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

ExpertEnglish

Labeling Experience

AI Data Validation & Model Training Specialist (Freelance)

Text
As an AI Data Validation & Model Training Specialist, I evaluated AI-generated outputs for factual accuracy, tone alignment, and safety compliance. I annotated datasets for machine learning model training and supervised learning tasks. I designed prompts and edge-case scenarios to test and improve AI model reasoning and response quality. • Conducted response ranking and comparative evaluation of AI outputs based on structural guidelines. • Delivered structured feedback and identified model hallucinations or inaccuracies. • Maintained high annotation quality standards in remote workflows. • Engaged in fact-checking and content verification using reliable sources.

As an AI Data Validation & Model Training Specialist, I evaluated AI-generated outputs for factual accuracy, tone alignment, and safety compliance. I annotated datasets for machine learning model training and supervised learning tasks. I designed prompts and edge-case scenarios to test and improve AI model reasoning and response quality. • Conducted response ranking and comparative evaluation of AI outputs based on structural guidelines. • Delivered structured feedback and identified model hallucinations or inaccuracies. • Maintained high annotation quality standards in remote workflows. • Engaged in fact-checking and content verification using reliable sources.

2024 - 2025

Undergraduate Research Assistant (AI Data Annotation)

Text
As an Undergraduate Research Assistant, I developed AI-powered accessibility tools for visually impaired users with a focus on usability research and dataset annotation. I implemented supervised learning and computer vision models for object recognition and navigation. I conducted and analyzed user studies with annotated feedback to inform model improvements. • Assisted in the annotation and categorization of training data for computer vision and accessibility tasks. • Participated in prompt engineering and scenario testing for AI accessibility models. • Ensured labeled data met accessibility and project guidelines. • Produced scientific documentation and co-authored publications based on evaluation insights.

As an Undergraduate Research Assistant, I developed AI-powered accessibility tools for visually impaired users with a focus on usability research and dataset annotation. I implemented supervised learning and computer vision models for object recognition and navigation. I conducted and analyzed user studies with annotated feedback to inform model improvements. • Assisted in the annotation and categorization of training data for computer vision and accessibility tasks. • Participated in prompt engineering and scenario testing for AI accessibility models. • Ensured labeled data met accessibility and project guidelines. • Produced scientific documentation and co-authored publications based on evaluation insights.

2023 - 2024

AI Model Evaluation Project

Text
In the AI Model Evaluation Project, I evaluated AI-generated responses across various prompts for reasoning quality, factuality, and instruction compliance. I contributed to designing and testing structured datasets for supervised fine-tuning. My work supported the identification and remediation of model weaknesses. • Assessed AI output alignment and provided qualitative scoring based on guidelines. • Participated in feedback review cycles with annotation teams. • Maintained detailed annotation records and documentation. • Supported continuous improvement of prompt engineering strategies.

In the AI Model Evaluation Project, I evaluated AI-generated responses across various prompts for reasoning quality, factuality, and instruction compliance. I contributed to designing and testing structured datasets for supervised fine-tuning. My work supported the identification and remediation of model weaknesses. • Assessed AI output alignment and provided qualitative scoring based on guidelines. • Participated in feedback review cycles with annotation teams. • Maintained detailed annotation records and documentation. • Supported continuous improvement of prompt engineering strategies.

2022 - 2023

Dataset Annotation Project

TextClassification
As part of the Dataset Annotation Project, I annotated and categorized training data for supervised learning models using structured guidelines. The work focused on ensuring high-quality, consistent annotations to improve downstream machine learning performance. Regular quality assurance reviews were performed to maintain project standards. • Labeled text data for classification and entity recognition tasks. • Followed annotation guidelines and contributed to training guideline updates. • Reported edge cases and ambiguities for team review. • Maintained annotation throughput with attention to detail and accuracy.

As part of the Dataset Annotation Project, I annotated and categorized training data for supervised learning models using structured guidelines. The work focused on ensuring high-quality, consistent annotations to improve downstream machine learning performance. Regular quality assurance reviews were performed to maintain project standards. • Labeled text data for classification and entity recognition tasks. • Followed annotation guidelines and contributed to training guideline updates. • Reported edge cases and ambiguities for team review. • Maintained annotation throughput with attention to detail and accuracy.

2022 - 2022

Prompt Engineering & Edge Case Development

TextPrompt Response Writing SFT
For the Prompt Engineering & Edge Case Development, I designed prompts and constructed diverse testing scenarios to identify model weaknesses. I collaborated with model trainers to design challenging evaluation tasks aligned to target objectives. I worked to improve reliability and coverage of supervised fine-tuning datasets. • Developed prompts for generative text and conversation models. • Implemented edge-case development for model robustness evaluation. • Collaborated on data collection and refinement with AI annotation teams. • Documented prompt structures and rationale for future training rounds.

For the Prompt Engineering & Edge Case Development, I designed prompts and constructed diverse testing scenarios to identify model weaknesses. I collaborated with model trainers to design challenging evaluation tasks aligned to target objectives. I worked to improve reliability and coverage of supervised fine-tuning datasets. • Developed prompts for generative text and conversation models. • Implemented edge-case development for model robustness evaluation. • Collaborated on data collection and refinement with AI annotation teams. • Documented prompt structures and rationale for future training rounds.

2022 - 2022

Education

K

Kabarak University

Bachelor of Business Information Technology, Business Information Technology

Bachelor of Business Information Technology
2017 - 2021
T

Taranganya School

High School Diploma, General Studies

High School Diploma
2013 - 2016

Work History

A

Academic Research Environment

Undergraduate Research Assistant

Nairobi
2023 - 2024
G

Google

Machine Learning Engineer Intern

Nairobi
2021 - 2023