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Emma Ylä-Rautio

Emma Ylä-Rautio

Finnish Data Annotator & Content Evaluator

Finland flagKouvola, Finland
$15.00/hrEntry LevelOneformaLabel StudioOther

Key Skills

Software

OneFormaOneForma
Label StudioLabel Studio
Other

Top Subject Matter

Computer Vision/Photo Event Detection
AI-generated Media & E-commerce Language QA
OCR/Handwriting Recognition & Segmentation

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

Action RecognitionAction Recognition
SegmentationSegmentation
Entity (NER) ClassificationEntity (NER) Classification
Evaluation/RatingEvaluation/Rating
TranscriptionTranscription

Freelancer Overview

Temporal Event Annotation & Image Labeling. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Interior Design Artisan, Kouvolan Seudun Ammattiopisto (2021). AI-training focus includes data types such as Video, Text, and Document and labeling workflows including Action Recognition, Evaluation, and Rating.

Entry LevelEnglishFinnish

Labeling Experience

OCR & Handwriting Dataset Segmentation

DocumentSegmentation
I managed the segmentation of Finnish handwriting datasets at the character level, focusing on verbatim transcription for AI training. Stringent technical guidelines were followed to assure perfect alignment between visual sources and digital output. Extensive experience was gained resolving challenges in complex cursive scripts and degraded samples. • Conducted detailed OCR dataset processing • Ensured source accuracy and output alignment • Handled high data volumes efficiently • Specialized in Finnish language handwriting

I managed the segmentation of Finnish handwriting datasets at the character level, focusing on verbatim transcription for AI training. Stringent technical guidelines were followed to assure perfect alignment between visual sources and digital output. Extensive experience was gained resolving challenges in complex cursive scripts and degraded samples. • Conducted detailed OCR dataset processing • Ensured source accuracy and output alignment • Handled high data volumes efficiently • Specialized in Finnish language handwriting

2026 - Present

E-commerce & Media Metadata Evaluation (QA & Peer Review)

Text
I executed comprehensive evaluations of AI-generated media and e-commerce metadata for linguistic precision and user engagement. My workflow involved side-by-side comparison of multiple model outputs to ensure compliance and relevance for Finnish-language systems. I provided detailed qualitative justifications to refine algorithmic decision-making. • Analyzed model outputs for correctness • Ensured brand safety and IP compliance • Conducted Side-by-Side (SbS) comparative reviews • Enhanced AI relevance through targeted feedback

I executed comprehensive evaluations of AI-generated media and e-commerce metadata for linguistic precision and user engagement. My workflow involved side-by-side comparison of multiple model outputs to ensure compliance and relevance for Finnish-language systems. I provided detailed qualitative justifications to refine algorithmic decision-making. • Analyzed model outputs for correctness • Ensured brand safety and IP compliance • Conducted Side-by-Side (SbS) comparative reviews • Enhanced AI relevance through targeted feedback

2026 - Present

Temporal Event Annotation & Image Labeling

VideoAction Recognition
I specialized in high-precision temporal event annotation and object localization for computer vision datasets. My responsibilities included identifying and tagging specific actions within visual data while complying with complex project taxonomies. I consistently maintained high output volume and data integrity without sacrificing detail. • Performed temporal event segmentation on video data • Utilized high-accuracy tagging methods • Followed stringent taxonomical guidelines • Supported the training of visual AI models

I specialized in high-precision temporal event annotation and object localization for computer vision datasets. My responsibilities included identifying and tagging specific actions within visual data while complying with complex project taxonomies. I consistently maintained high output volume and data integrity without sacrificing detail. • Performed temporal event segmentation on video data • Utilized high-accuracy tagging methods • Followed stringent taxonomical guidelines • Supported the training of visual AI models

2026 - Present

Education

K

Kouvolan Seudun Ammattiopisto

Interior Design Artisan, Interior Design

Interior Design Artisan
2018 - 2021

Work History

S

Self-Employed

Entrepreneur – E-commerce

Kouvola
2023 - Present