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Quinones Mildred

Quinones Mildred

Data Annotation & Image Labeling Specialist – Invisible Technologies / Outlier

USA flag
Nairobi, Usa
ExpertOther

Key Skills

Software

Other

Top Subject Matter

General AI/ML datasets
Digital content
Marketing Domain Expertise

Top Data Types

ImageImage
TextText
AudioAudio
VideoVideo
DocumentDocument

Top Label Types

Classification
Transcription
Prompt Response Writing SFT

Freelancer Overview

Data Annotation & Image Labeling Specialist – Invisible Technologies / Outlier. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Science, University of Rochester (2023) and Bachelor of Arts, New York University (2022). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Classification, Translation, and Localization.

Expert

Labeling Experience

Language AI Dataset Development Project

Text
Reviewed and validated over 10,000 Kiswahili–English text samples for accuracy, grammar, and tone in NLP dataset curation. Ensured cultural relevance and contextual fluency for dataset inclusion. Collaborated with a global AI team to strengthen dataset quality and support NLP model training. Used established rubrics to guarantee thorough review. • Evaluated and rated bilingual text data • Focused on Kiswahili-English linguistic contexts • Collaborated with global research teams • Used internal annotation and review platforms

Reviewed and validated over 10,000 Kiswahili–English text samples for accuracy, grammar, and tone in NLP dataset curation. Ensured cultural relevance and contextual fluency for dataset inclusion. Collaborated with a global AI team to strengthen dataset quality and support NLP model training. Used established rubrics to guarantee thorough review. • Evaluated and rated bilingual text data • Focused on Kiswahili-English linguistic contexts • Collaborated with global research teams • Used internal annotation and review platforms

2024 - Present

Data Annotation & Image Labeling Specialist – Invisible Technologies / Outlier

ImageClassification
Performed large-scale image, text, and multimodal data annotation for machine learning model training. Labeled and reviewed datasets following detailed project guidelines to ensure high-quality outputs. Conducted QA checks for annotation accuracy and provided feedback for AI model improvement. Evaluated AI-generated results to enhance data reliability. • Supported classification, computer vision, and NLP datasets • Enforced consistency and adherence to annotation standards • Collaborated remotely with project teams • Used proprietary or internal annotation tools

Performed large-scale image, text, and multimodal data annotation for machine learning model training. Labeled and reviewed datasets following detailed project guidelines to ensure high-quality outputs. Conducted QA checks for annotation accuracy and provided feedback for AI model improvement. Evaluated AI-generated results to enhance data reliability. • Supported classification, computer vision, and NLP datasets • Enforced consistency and adherence to annotation standards • Collaborated remotely with project teams • Used proprietary or internal annotation tools

2023 - Present

Caption Generation & Video Annotation Project

OtherVideoTranscription
Created and refined captions for multilingual video content to improve accuracy and alignment. Enhanced caption quality by 20% and evaluated video annotation datasets for completeness. Used defined rubrics and guidelines to ensure factuality and relevance of outputs. Supported dataset preparation for video-based AI models. • Generated and revised video captions • Conducted quality audits on video annotations • Applied standardized rubrics for evaluation • Assisted in multilingual and cross-cultural video datasets

Created and refined captions for multilingual video content to improve accuracy and alignment. Enhanced caption quality by 20% and evaluated video annotation datasets for completeness. Used defined rubrics and guidelines to ensure factuality and relevance of outputs. Supported dataset preparation for video-based AI models. • Generated and revised video captions • Conducted quality audits on video annotations • Applied standardized rubrics for evaluation • Assisted in multilingual and cross-cultural video datasets

2023 - 2023

AI Data Annotator & Captioning Specialist (Crowd-sourced AI Speech & Video Projects)

OtherAudioTranscription
Reviewed and corrected machine-generated audio captions and speech transcriptions for AI speech recognition projects. Adjusted timestamps, speaker labels, and segmentation boundaries to ensure accurate transcriptions. Maintained strict quality control in training speech recognition models. Delivered assigned tasks on a project-based schedule. • Enhanced accuracy of audio transcription datasets • Evaluated linguistic quality and alignment • Supported multiple crowd-sourced AI annotation projects • Used internal or external annotation platforms as needed

Reviewed and corrected machine-generated audio captions and speech transcriptions for AI speech recognition projects. Adjusted timestamps, speaker labels, and segmentation boundaries to ensure accurate transcriptions. Maintained strict quality control in training speech recognition models. Delivered assigned tasks on a project-based schedule. • Enhanced accuracy of audio transcription datasets • Evaluated linguistic quality and alignment • Supported multiple crowd-sourced AI annotation projects • Used internal or external annotation platforms as needed

2022 - 2023

Prompt-Based AI Writing & Evaluation Project

TextPrompt Response Writing SFT
Produced and evaluated AI-generated text responses in Kiswahili and English using prompt-based tasks. Provided structured linguistic feedback to improve fluency and clarity in AI model outputs. Supported supervised fine-tuning for LLM evaluation with documented results. Processed multiple prompt–response pairs for iterative model improvement. • Developed and rated prompt-based datasets • Improved LLM writing fluency through evaluation • Focused on bilingual English–Kiswahili supervision • Utilized internal annotation tools

Produced and evaluated AI-generated text responses in Kiswahili and English using prompt-based tasks. Provided structured linguistic feedback to improve fluency and clarity in AI model outputs. Supported supervised fine-tuning for LLM evaluation with documented results. Processed multiple prompt–response pairs for iterative model improvement. • Developed and rated prompt-based datasets • Improved LLM writing fluency through evaluation • Focused on bilingual English–Kiswahili supervision • Utilized internal annotation tools

2022 - 2022

Education

N

New York University

Bachelor of Arts, Linguistics

Bachelor of Arts
2018 - 2022
U

University of Rochester

Master of Science, Computational Linguistics

Master of Science
2023

Work History

T

The Standard Group

Editorial Intern

Nairobi
2018 - 2019