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Melinda Adams

Melinda Adams

Generative AI & LLM, Data Labeling Specialist

USA flagMacon, Usa
$17.50/hrExpertAws SagemakerAppenClickworker

Key Skills

Software

AWS SageMakerAWS SageMaker
AppenAppen
ClickworkerClickworker
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
Deep SystemsDeep Systems
EncordEncord
Google Cloud Vertex AIGoogle Cloud Vertex AI
Img Lab
Kili TechnologyKili Technology
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
RemotasksRemotasks
SuperAnnotateSuperAnnotate
Scale AIScale AI
Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
TextText
VideoVideo

Top Task Types

Prompt Response Writing SFT
Question Answering
RLHF
Text Generation
Text Summarization

Freelancer Overview

With over five years of experience in data labeling and AI training data preparation, I specialize in creating high-quality datasets for LLMs and generative AI, including machine learning models. My expertise spans text, image, audio, and multimodal data annotation, ensuring accuracy, consistency, and scalability for AI training. Key Skills & Expertise: ✔ Data Labeling & Annotation – Proficient in manual and tool-assisted labeling (Label Studio, Prodigy, CVAT) for NLP, computer vision, and speech recognition. ✔ LLM & Generative AI Training – Experience fine-tuning models via RLHF, prompt engineering, and synthetic data generation. ✔ Quality Assurance – Rigorous validation processes to minimize bias, improve inter-annotator agreement, and adhere to guidelines. ✔ Project Leadership – Managed teams of annotators, optimized workflows, and delivered datasets for enterprise AI deployments. ✔ Domain Specialization– Worked on healthcare, legal, e-commerce, and conversational AI datasets with strict compliance (HIPAA, GDPR). Why I Stand Out: Technical Depth – Expert understanding of model requirements to tailor datasets for optimal performance. Efficiency – Automated repetitive tasks with Python scripts, cutting labeling time by 44%. Adaptability – Worked with startups and large companies, aligning data strategies with business goals.

ExpertFrenchEnglishItalianSpanish

Labeling Experience

Data Annotator II

OtherAudioEmotion RecognitionRLHF
Transcribed and timestamped speech data (call center, voice assistant, and meeting recordings) for NLP/ASR training. Ensured 98%+ accuracy by verifying dialects, speaker labels, and background noise tags. Formatted outputs for ML pipelines, improving speech recognition models' WER by 17%.

Transcribed and timestamped speech data (call center, voice assistant, and meeting recordings) for NLP/ASR training. Ensured 98%+ accuracy by verifying dialects, speaker labels, and background noise tags. Formatted outputs for ML pipelines, improving speech recognition models' WER by 17%.

2024 - 2024

Data Annotator

Other3D SensorObject Detection
Labeled LiDAR, radar, and camera datasets for autonomous vehicle perception systems. Annotated objects (vehicles, pedestrians, traffic signs) with precise bounding boxes, segmentation masks, and 3D cuboids. Ensured ADAS/AV training data met strict safety and accuracy standards. Improved object detection accuracy by 20% through meticulous annotation and QA processes.

Labeled LiDAR, radar, and camera datasets for autonomous vehicle perception systems. Annotated objects (vehicles, pedestrians, traffic signs) with precise bounding boxes, segmentation masks, and 3D cuboids. Ensured ADAS/AV training data met strict safety and accuracy standards. Improved object detection accuracy by 20% through meticulous annotation and QA processes.

2024 - 2024

Data Annotation III

OtherTextText Summarization
Annotated and labeled medical text (clinical notes, EHRs) and imaging data (X-rays, MRIs) for AI models in diagnostics and treatment prediction. Ensured HIPAA compliance, applied domain-specific ontologies (SNOMED, ICD-10), and collaborated with clinicians to validate accuracy. Improved model performance by 25% via precise entity recognition (symptoms, medications) and structured data tagging.

Annotated and labeled medical text (clinical notes, EHRs) and imaging data (X-rays, MRIs) for AI models in diagnostics and treatment prediction. Ensured HIPAA compliance, applied domain-specific ontologies (SNOMED, ICD-10), and collaborated with clinicians to validate accuracy. Improved model performance by 25% via precise entity recognition (symptoms, medications) and structured data tagging.

2024 - 2024

Education

H

Harvard University

Certificate, Machine Learning

Certificate
2024 - 2024
G

Georgia Tech

Certificate, Machine Learning

Certificate
2024 - 2024

Work History

L

Lee Adams Company USA

Copywriter and Content Writer

Macon
2012 - Present
D

Dealer Inspire

Content Specialist

N/A
2023 - 2024