Nicolas Maloney Figueiredo

Key Skills

Software

Appen

Data Annotation Tech

Lionbridge

OneForma

Telus

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Document

Image

Text

Video

Top Label Types

Emotion Recognition

Fine Tuning

Evaluation Rating

Data Collection

Prompt Response Writing SFT

Segmentation

Classification

Transcription

Text Summarization

Freelancer Overview

I am an experienced data annotation specialist with over five years working across AI training data, data labeling, and quality assurance for machine learning projects. My background includes optimizing large language models (LLMs) by evaluating and correcting AI-generated outputs, categorizing responses according to complex guidelines, and conducting meticulous QA reviews to ensure data accuracy and consistency. I have hands-on experience with tools such as Pandas, Excel, and Google Sheets, and have worked on projects involving natural language processing, audio transcription, and metadata annotation—including speaker diarization and timestamping for speech recognition models. My technical proficiency is complemented by strong analytical skills, attention to detail, and a commitment to maintaining high standards in data quality and project compliance. I am fluent in English, Spanish, and Portuguese, and thrive in remote, collaborative environments where precision and adaptability are essential.

Labeling Experience

Data Annotation Specialist

Data Annotation TechTextEmotion RecognitionFine Tuning

I evaluated and optimized outputs from Large Language Models (LLMs), ensuring that generated responses met project-specific guidelines for quality and accuracy. My work involved correcting outputs, categorizing responses, and conducting quality assurance reviews of peer annotation. Additionally, I analyzed AI-generated content for errors and compliance with safety standards. • Evaluated LLM outputs for correctness and relevance • Audited and corrected peer annotation work as part of quality assurance • Ensured data entry and categorization adhered to strict protocols • Improved AI alignment, safety, and factual accuracy through detailed error analysis.

I evaluated and optimized outputs from Large Language Models (LLMs), ensuring that generated responses met project-specific guidelines for quality and accuracy. My work involved correcting outputs, categorizing responses, and conducting quality assurance reviews of peer annotation. Additionally, I analyzed AI-generated content for errors and compliance with safety standards. • Evaluated LLM outputs for correctness and relevance • Audited and corrected peer annotation work as part of quality assurance • Ensured data entry and categorization adhered to strict protocols • Improved AI alignment, safety, and factual accuracy through detailed error analysis.

2025

Audio Transcription Specialist

OneformaAudioSegmentationClassification

I processed and transcribed over 400 audio files daily to create training datasets for machine learning models. My tasks included verbatim transcription, segmenting audio, and applying precise timestamps to facilitate synchronized caption generation. I maintained a transcription accuracy rate consistently above client benchmarks, confirmed by automated systems and audits. • Transcribed and segmented large volumes of audio files • Applied utterance and segment-level timestamps • Conducted rigorous quality checks to surpass client standards • Enabled accurate caption generation and model alignment validation.

I processed and transcribed over 400 audio files daily to create training datasets for machine learning models. My tasks included verbatim transcription, segmenting audio, and applying precise timestamps to facilitate synchronized caption generation. I maintained a transcription accuracy rate consistently above client benchmarks, confirmed by automated systems and audits. • Transcribed and segmented large volumes of audio files • Applied utterance and segment-level timestamps • Conducted rigorous quality checks to surpass client standards • Enabled accurate caption generation and model alignment validation.

2025 - 2025

Social Media Evaluator

AppenTextClassificationEmotion Recognition

I evaluated the relevance, accuracy, and safety of social media ads and content to train and improve recommendation algorithms. I adhered to strict platform guidelines while analyzing behavioral patterns and providing analytical feedback. My work helped optimize user experience through quality data annotation and error identification. • Assessed social media content for compliance with platform rules • Provided feedback for algorithmic improvement • Identified behavioral trends for better content recommendations • Ensured annotation accuracy through detailed evaluation protocols.

I evaluated the relevance, accuracy, and safety of social media ads and content to train and improve recommendation algorithms. I adhered to strict platform guidelines while analyzing behavioral patterns and providing analytical feedback. My work helped optimize user experience through quality data annotation and error identification. • Assessed social media content for compliance with platform rules • Provided feedback for algorithmic improvement • Identified behavioral trends for better content recommendations • Ensured annotation accuracy through detailed evaluation protocols.

2022 - 2022

Audio Transcriptionist

AppenAudioSegmentationClassification

I performed high-fidelity transcriptions of audio data, supporting the training and refinement of AI models for speech recognition. My responsibilities included annotating metadata, applying accurate timestamps, and conducting speaker diarization. Consistent adherence to quality benchmarks ensured data suitability for downstream machine learning use. • Transcribed complex audio data for AI model training • Added metadata and timestamps for enhanced dataset structure • Implemented speaker identification (diarization) processes • Followed rigorous quality standards for audio data annotation.

I performed high-fidelity transcriptions of audio data, supporting the training and refinement of AI models for speech recognition. My responsibilities included annotating metadata, applying accurate timestamps, and conducting speaker diarization. Consistent adherence to quality benchmarks ensured data suitability for downstream machine learning use. • Transcribed complex audio data for AI model training • Added metadata and timestamps for enhanced dataset structure • Implemented speaker identification (diarization) processes • Followed rigorous quality standards for audio data annotation.

2021 - 2022

Education

Work History