Remigio Jr Austria

Key Skills

Software

Remotasks

Top Subject Matter

Road Scenes for Autonomous Driving

Top Data Types

Text

Audio

Image

Top Task Types

Classification

Transcription

Segmentation

Freelancer Overview

Image Annotation and Semantic Segmentation. Core strengths include Remotasks. AI-training focus includes data types such as Image and labeling workflows including Segmentation.

Labeling Experience

ATC Audio Transcriber

AudioTranscription

I accurately transcribed ATC communications audio recordings based on strict guidelines and formatting requirements. My role included evaluating tower-to-pilot ATC transcriptions for correctness, punctuation, and readability. I was responsible for editing and reviewing transcripts to ensure consistency and high quality. • Transcribed real-world air traffic control audio data. • Evaluated and edited transcriptions for accuracy and compliance. • Followed structured templates and formatting standards. • Contributed to the creation of reliable training data for AI models.

I accurately transcribed ATC communications audio recordings based on strict guidelines and formatting requirements. My role included evaluating tower-to-pilot ATC transcriptions for correctness, punctuation, and readability. I was responsible for editing and reviewing transcripts to ensure consistency and high quality. • Transcribed real-world air traffic control audio data. • Evaluated and edited transcriptions for accuracy and compliance. • Followed structured templates and formatting standards. • Contributed to the creation of reliable training data for AI models.

2025 - 2026

Social Media Content Labeler

RemotasksImageClassificationSegmentation

I categorized social media content, such as Facebook and Instagram Reels and posts, into predefined groups to optimize recommendation systems and algorithm training. I conducted sentiment analysis on comments, captions, and user interactions to enhance user experience and engagement strategies. My work involved organizing, classifying, and providing labels based on specific guidelines and criteria. • Labeled social media posts by topic, relevance, or group. • Performed sentiment analysis for accurate emotional tone identification. • Used Remotasks’s online labeling tools for annotation tasks. • Helped improve machine learning models for content recommendation.

I categorized social media content, such as Facebook and Instagram Reels and posts, into predefined groups to optimize recommendation systems and algorithm training. I conducted sentiment analysis on comments, captions, and user interactions to enhance user experience and engagement strategies. My work involved organizing, classifying, and providing labels based on specific guidelines and criteria. • Labeled social media posts by topic, relevance, or group. • Performed sentiment analysis for accurate emotional tone identification. • Used Remotasks’s online labeling tools for annotation tasks. • Helped improve machine learning models for content recommendation.

2021 - 2023

Image Annotation

ImageSegmentation

Contextual Labeling: Identifying and tagging relevant aspects of user-to-machine interactions. Metadata Integration: Utilizing keywords and metadata to enrich raw text data, allowing for deeper linguistic analysis. NLP Optimization: Improving the accuracy of virtual assistants by training them to recognize and react to diverse linguistic patterns.

Contextual Labeling: Identifying and tagging relevant aspects of user-to-machine interactions. Metadata Integration: Utilizing keywords and metadata to enrich raw text data, allowing for deeper linguistic analysis. NLP Optimization: Improving the accuracy of virtual assistants by training them to recognize and react to diverse linguistic patterns.

2019 - 2022

Image Annotator

ImageBounding Box

Object Identification (Bounding Boxes): Creating rectangular labels to define the spatial location of specific objects within images. Precise Shape Mapping (Polygon Annotation): Defining the exact boundaries of irregular objects to improve spatial accuracy. Pixel-Level Analysis (Semantic Segmentation): Assigning every pixel in an image to a specific class to provide deep environmental context.

Object Identification (Bounding Boxes): Creating rectangular labels to define the spatial location of specific objects within images. Precise Shape Mapping (Polygon Annotation): Defining the exact boundaries of irregular objects to improve spatial accuracy. Pixel-Level Analysis (Semantic Segmentation): Assigning every pixel in an image to a specific class to provide deep environmental context.

2019 - 2022

Education

Work History