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J
Jani Eronen

Jani Eronen

AI Data Annotator

Finland flagJoensuu, Finland
$25.00/hrEntry LevelAppen

Key Skills

Software

AppenAppen

Top Subject Matter

Llm Domain Expertise
Multimodal AI
Social Media Content

Top Data Types

ImageImage
VideoVideo
AudioAudio
TextText
DocumentDocument

Top Task Types

ClassificationClassification
TranscriptionTranscription
Audio RecordingAudio Recording

Freelancer Overview

AI Data Annotator, CrowdGen by Appen. Brings 22+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen. Education includes Basic Computer Science Degree, Pohjois-Karjalan Ammattiopisto (2002) and Initial Training, Kouvolan seudun ammattiopisto (2014). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Classification, Evaluation, and Rating.

Entry LevelEnglish

Labeling Experience

Appen

AI Data Annotator, CrowdGen by Appen

AppenImageClassificationTranscription
As an AI Data Annotator at CrowdGen by Appen, I completed diverse data annotation and evaluation assignments for AI model improvement. I worked with images, videos, audio, and text, following strict task-specific guidelines to ensure consistent quality and reliability. This role required accuracy, attention to detail, and a strong understanding of multimodal content alignment. • Tasks included image annotation, video evaluation, and social media content analysis • Performed audio recording, transcription review, and classification tasks for improved model performance • Applied search evaluation, product testing, and sentiment analysis techniques • Conducted all labeling using the Appen Data Annotation Platform (ADAP) to support LLM and multimodal AI systems

As an AI Data Annotator at CrowdGen by Appen, I completed diverse data annotation and evaluation assignments for AI model improvement. I worked with images, videos, audio, and text, following strict task-specific guidelines to ensure consistent quality and reliability. This role required accuracy, attention to detail, and a strong understanding of multimodal content alignment. • Tasks included image annotation, video evaluation, and social media content analysis • Performed audio recording, transcription review, and classification tasks for improved model performance • Applied search evaluation, product testing, and sentiment analysis techniques • Conducted all labeling using the Appen Data Annotation Platform (ADAP) to support LLM and multimodal AI systems

2025 - Present

Education

X

Xamk - South-Eastern Finland University of Applied Sciences

Open University Studies (Single Course, 3 ECTS), Programming

Open University Studies (Single Course, 3 ECTS)
2025 - 2025
H

Helkama-Auto Oy

Certified Team Leader, Team Leadership (Automotive)

Certified Team Leader
2019 - 2019

Work History

R

Riveria

Student, Programming and Software Fundamentals

Joensuu
2025 - Present
H

Hedin Automotive Oy

Service Advisor and Workshop Team Leader

Lieksa
2023 - 2024