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Emmanuella G.

Emmanuella G.

AI Content Evaluator & Data Annotation Specialist (Remote)

Romania flagTârgu Mureș, Romania

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI
MercorMercor

Top Subject Matter

AI content evaluation and data annotation
Dataset annotation and preparation for AI evaluation
Generalist

Top Data Types

TextText
ImageImage
Medical DicomMedical Dicom

Top Task Types

Data CollectionData Collection
RLHFRLHF
Evaluation/RatingEvaluation/Rating
Text GenerationText Generation
Question AnsweringQuestion Answering
Object DetectionObject Detection
Text SummarizationText Summarization
Fine-tuningFine-tuning
TranscriptionTranscription
ClassificationClassification
SegmentationSegmentation

Freelancer Overview

AI Content Evaluator and Research Consultant with a strong background in medical sciences and complex data analysis. Experienced in guideline-based annotation frameworks using platforms like Labelbox and Scale AI. Proven track record of evaluating LLM outputs for factual accuracy, coherence, and instruction adherence. Combines high-level analytical reasoning with precise fact-checking skills to deliver top-tier datasets for advanced AI models.

Labeling Experience

Labelbox

AI Content Evaluator & Data Annotation Specialist (Remote)

LabelboxLabelboxTextTextRLHFRLHF

Evaluated and ranked AI-generated responses by checking accuracy, coherence, factual correctness, and instruction adherence for healthcare-related content. Performed error detection and correction to improve quality and consistency of model outputs. Applied guideline-based scoring to maintain top-tier quality standards while working under tight deadlines. • Assessed responses for linguistic precision and logical consistency • Verified adherence to user instructions and task requirements • Corrected detected issues to refine final outputs • Delivered structured, high-quality results remotely

2023 - Present

Data annotation via guideline-based annotation frameworks (Remote)

TextTextData CollectionData Collection

Applied guideline-based annotation frameworks to large datasets as part of data annotation and analysis work. Produced high-quality labeled outputs within strict time constraints while maintaining strong quality scores. Supported dataset preparation by ensuring consistency with annotation guidelines. • Followed annotation guidelines for dataset creation • Maintained quality through checks and adherence to standards • Completed tasks within time and accuracy expectations • Contributed to downstream evaluation and analysis readiness

2019 - 2017

Education

G

George Emil Palade Pharmacy, Science and Technology

Doctor of Medicine (MD), Medicine

Doctor of Medicine (MD)
2019 - 2026
Z

Zika’s Destiny International School

Secondary School Leaving Certificate, General Education

Secondary School Leaving Certificate
2010 - 2017

Work History

U

upwork

AI Content Quality Evaluator

Târgu Mureș
2023 - Present
U

upwork

Research & Data Analysis Consultant

Targu-Mures
2022 - 2023