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Dakota W.

Dakota W.

Senior ML Training Specialist (Contract)

USA flagLos Angeles, Usa

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.

Labeling Experience

Labelbox

Senior ML Training Specialist (Contract)

LabelboxLabelbox

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

ImageImageClassificationClassification

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