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Dakota Weiss

Dakota Weiss

Senior ML Training Specialist (Contract)

USA flagLos Angeles, Usa
ExpertLabelbox

Key Skills

Software

LabelboxLabelbox

Top Subject Matter

Computer Science AI Model Training
Healthcare Predictive Modeling
Legal Services & Contract Review

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Senior ML Training Specialist (Contract). Brings 18+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox, Internal, and Proprietary Tooling. Education includes Post-Graduate Fellowship, Institute for Advanced Algorithmic Design (2006) and Master Specialist Certification, The Computational Science Collective (2002). AI-training focus includes data types such as Computer Code, Programming, and Image and labeling workflows including Evaluation, Rating, and Classification.

Expert

Labeling Experience

Labelbox

Senior ML Training Specialist (Contract)

Labelbox
As a Senior ML Training Specialist, I evaluated and rated AI-generated solutions for complex computer science problems. I designed rigorous coding benchmarks and provided expert feedback on model reasoning to improve alignment. I managed datasets for supervised fine-tuning with a focus on factual accuracy and scientific integrity. • Evaluated logical consistency and efficiency of programming outputs • Designed Python-based benchmarks for numerical validation • Delivered alignment-focused feedback using structured rubrics • Managed large-scale supervised datasets for SFT

As a Senior ML Training Specialist, I evaluated and rated AI-generated solutions for complex computer science problems. I designed rigorous coding benchmarks and provided expert feedback on model reasoning to improve alignment. I managed datasets for supervised fine-tuning with a focus on factual accuracy and scientific integrity. • Evaluated logical consistency and efficiency of programming outputs • Designed Python-based benchmarks for numerical validation • Delivered alignment-focused feedback using structured rubrics • Managed large-scale supervised datasets for SFT

2019 - Present

Lead Data Scientist & Logic Auditor

ImageClassification
As Lead Data Scientist & Logic Auditor, I led the quality control of multimodal image and text dataset labeling processes. I developed protocols and validation tools for standardization and effectiveness. I focused on consistency in data labeling to support predictive health model accuracy. • Led standardization of image and text labeling protocols • Built and maintained labeling quality assurance frameworks • Ensured data consistency and integrity in labeled datasets • Supported predictive health modeling with accurate labeled data

As Lead Data Scientist & Logic Auditor, I led the quality control of multimodal image and text dataset labeling processes. I developed protocols and validation tools for standardization and effectiveness. I focused on consistency in data labeling to support predictive health model accuracy. • Led standardization of image and text labeling protocols • Built and maintained labeling quality assurance frameworks • Ensured data consistency and integrity in labeled datasets • Supported predictive health modeling with accurate labeled data

2010 - 2019

Education

I

Institute for Advanced Algorithmic Design

Post-Graduate Fellowship, Machine Learning Reasoning Systems

Post-Graduate Fellowship
2004 - 2006
T

The Computational Science Collective

Master Specialist Certification, Python Engineering

Master Specialist Certification
1999 - 2002

Work History

M

MetroSystems Computational Group

Lead Data Scientist and Logic Auditor

Los Angeles
2010 - 2019
L

Los Angeles Technical Informatics

Quantitative Analyst

Los Angeles
2002 - 2010