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Nathy Jorge

AI Data Labeler – Speech Dataset Quality Review

BRAZIL flag
Queimados, Brazil
Entry LevelOther

Key Skills

Software

Other

Top Subject Matter

Speech and Audio Quality
AI Multimodal Content Quality
Large Language Model Output Evaluation

Top Data Types

AudioAudio
ImageImage
TextText
DocumentDocument

Top Task Types

Text Generation

Freelancer Overview

AI Data Labeler – Speech Dataset Quality Review. Core strengths include Other. Education includes Bachelor's Degree, UniCesumar (2023) and Postgraduate Certificate, UniCesumar (2026). AI-training focus includes data types such as Audio, Image, and Text and labeling workflows including Evaluation and Rating.

Entry LevelEnglish

Labeling Experience

LLM Response Evaluation/AI Trainer (Text)

OtherText
I participated in LLM response evaluation by checking AI-generated textual responses for relevance, factual accuracy, and user intent alignment. This involved systematic rating and annotation of model outputs according to project guidelines. My efforts supported dataset improvement for conversational AI systems and generative LLM models. • Rated model responses for factual consistency and relevance • Evaluated user intent alignment in AI-generated text • Ensured adherence to quality standards within text datasets • Supported training and validation of conversational AI models

I participated in LLM response evaluation by checking AI-generated textual responses for relevance, factual accuracy, and user intent alignment. This involved systematic rating and annotation of model outputs according to project guidelines. My efforts supported dataset improvement for conversational AI systems and generative LLM models. • Rated model responses for factual consistency and relevance • Evaluated user intent alignment in AI-generated text • Ensured adherence to quality standards within text datasets • Supported training and validation of conversational AI models

2025 - Present

AI Quality Reviewer – Multimodal Image/Video Evaluation

OtherImage
I performed AI-generated image and video quality review as part of multimodal data labeling projects. My work involved checking image realism, identifying artifacts, and evaluating prompt adherence and policy compliance. I compared and ranked multiple outputs to select the best-performing model responses. • Reviewed image outputs for realism and coherence • Identified quality issues and content artifacts • Assessed adherence to labeling guidelines and prompt relevance • Compared multiple outputs to determine ranking among model responses

I performed AI-generated image and video quality review as part of multimodal data labeling projects. My work involved checking image realism, identifying artifacts, and evaluating prompt adherence and policy compliance. I compared and ranked multiple outputs to select the best-performing model responses. • Reviewed image outputs for realism and coherence • Identified quality issues and content artifacts • Assessed adherence to labeling guidelines and prompt relevance • Compared multiple outputs to determine ranking among model responses

2025 - Present

AI Data Labeler – Speech Dataset Quality Review

OtherAudio
As a freelance AI data labeler, I evaluated speech samples against reference transcripts to assess pronunciation, clarity, and synchronization. I categorized audio dataset issues using predefined labeling taxonomies and ensured high accuracy for machine learning workflows. My responsibilities also included reviewing holistic quality and answering validation questions for speech and audio transcription. • Evaluated pronunciation, clarity, synchronization, and audio quality • Categorized dataset issues and flagged audio distortions, mispronunciations, and misalignments • Assessed holistic quality and relevance in speech samples • Contributed to improving speech datasets for AI systems

As a freelance AI data labeler, I evaluated speech samples against reference transcripts to assess pronunciation, clarity, and synchronization. I categorized audio dataset issues using predefined labeling taxonomies and ensured high accuracy for machine learning workflows. My responsibilities also included reviewing holistic quality and answering validation questions for speech and audio transcription. • Evaluated pronunciation, clarity, synchronization, and audio quality • Categorized dataset issues and flagged audio distortions, mispronunciations, and misalignments • Assessed holistic quality and relevance in speech samples • Contributed to improving speech datasets for AI systems

2025 - Present

Education

U

UniCesumar

Postgraduate Certificate, Information Technology Governance

Postgraduate Certificate
2026 - 2026
U

UniCesumar

Bachelor's Degree, Information Technology Management

Bachelor's Degree
2023

Work History

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Nathy J. hasn’t added any Work History to their OpenTrain profile yet.