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Eddy W.

Eddy W.

Senior AI Data Strategist

USA flagcalifornia, Usa

Key Skills

Software

Scale AIScale AI
LabelboxLabelbox
Label StudioLabel Studio
SuperviselySupervisely
AppenAppen
CVATCVAT
DataloopDataloop

Top Subject Matter

Large Language Models (LLMs)
AI Alignment
Computer Vision

Top Data Types

TextText
ImageImage
3D Sensor3D Sensor
AudioAudio
DocumentDocument

Top Task Types

RLHFRLHF
SegmentationSegmentation
DiagnosisDiagnosis
TranscriptionTranscription
Entity (NER) ClassificationEntity (NER) Classification
ClassificationClassification

Freelancer Overview

Senior AI Data Strategist. Core strengths include Scale AI, Labelbox, and Label Studio. Education includes Bachelor of Science, N/A (2018). AI-training focus includes data types such as Text, Image, and Medical and labeling workflows including RLHF, Segmentation, and Diagnosis.

Labeling Experience

Scale AI

Senior AI Data Strategist

Scale AIScale AITextTextRLHFRLHF

Led large-scale RLHF and Red Teaming campaigns for frontier LLMs to improve model instruction-following and safety. Evaluated and ranked model-generated responses using detailed rubrics, identifying and correcting outputs with hallucinations in code and reasoning tasks. Delivered over 1,000 high-quality annotations weekly while collaborating asynchronously across global teams. • Multi-turn preference ranking and reward modeling for logic, safety, and tone. • Prompt engineering and adversarial prompt testing to surface model misalignments. • Instruction-following evaluation and factuality annotation for LLMs. • Supported SFT dataset creation for domain-specific fine-tuning.

2021 - Present
Appen

AI Training Specialist / Data Annotator

AppenAppenAudioAudioTranscriptionTranscription

Managed multilingual audio transcription and translation projects across five languages, ensuring high accuracy and cultural fidelity. Coordinated large-scale workflows and quality control for both transcription and translation tasks. Maintained over 95% inter-annotator agreement through careful adherence to annotation guidelines. • Handled both verbatim and context-aware transcription protocols. • Enabled dataset augmentation through accurate cross-lingual translations. • Collaborated on refinement of audio annotation schemas. • Delivered ongoing support for NLP and ASR dataset projects.

2019 - 2020
Supervisely

AI Training Specialist / Data Annotator

SuperviselySupervisely3D Sensor3D SensorSegmentationSegmentation

Conducted 3D point cloud segmentation and video object tracking for self-driving vehicle simulation. Applied multi-object labeling techniques across sensor fusion datasets using specialized annotation tools. Exceeded industry benchmarks in annotation accuracy and consistency for complex data types. • Applied semantic segmentation on LiDAR data for object classification. • Managed annotation workflows using Supervisely and proprietary tooling. • Delivered training data for autonomous navigation and perception tasks. • Ensured precision in temporal and spatial tracking across scenes.

2019 - 2020
Label Studio

AI Training Specialist / Data Annotator

Label StudioLabel StudioDiagnosisDiagnosis

Performed expert-level medical DICOM annotation to support diagnostic AI model training. Adhered strictly to medical-grade labeling protocols and ensured label consistency across complex imaging data. Collaborated with domain experts to refine guideline interpretation and quality standards. • Provided detailed medical image labels for supervised learning datasets. • Maintained compliance with data privacy and medical annotation standards. • Participated in ongoing QA audits and guideline updates. • Ensured high inter-annotator agreement scores in labeling initiatives.

2019 - 2020
Labelbox

AI Training Specialist / Data Annotator

LabelboxLabelboxImageImageSegmentationSegmentation

Executed precision labeling for Computer Vision models utilizing semantic segmentation, polygon, and bounding box techniques on multiple platforms. Delivered consistent, high-fidelity image annotations while adhering to predefined label schemas. Worked with proprietary and open-source software to handle varied annotation pipelines. • Used Labelbox and CVAT for segmentation and polygon annotations. • Supported video object tracking and multi-object labeling for autonomous systems. • Flagged unclear cases to drive improvements in annotation guidelines. • Delivered large annotation volumes weekly under strict accuracy KPIs.

2019 - 2020

Education

N

N/A

Bachelor of Science, Business Operations and Computer Science

Bachelor of Science
2014 - 2018

Work History

D

Data annotation

data annotation

ELK GROVE
2020 - Present