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Ana Luiza Alkmim

Ana Luiza Alkmim

LLM Evaluation & AI Training Professional

Brazil flagBelo Horizonte, Brazil
$25.00/hrIntermediateAppenAxiom AILabelbox

Key Skills

Software

AppenAppen
Axiom AI
LabelboxLabelbox
OneFormaOneForma
Scale AIScale AI

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
DocumentDocument
TextText

Top Task Types

Audio Recording
Evaluation Rating
Prompt Response Writing SFT
Red Teaming
RLHF

Freelancer Overview

As a dedicated and quick learner, I'm actively building a strong foundation in AI training data and evaluation through comprehensive coursework and self-driven study. My academic background, including an MBA and various specialized courses, has equipped me with essential skills in data analysis, research, and critical evaluation that are directly transferable to generating and assessing high-quality AI training data. My keen interest in linguistics and human language nuances further enhances my ability to contribute to projects involving natural language understanding and generation, making me particularly adept at understanding complex instructions, identifying patterns, and providing detailed feedback crucial for refining AI models. I'm eager to apply my developing expertise in areas such as prompt and response writing, evaluation and rating of AI outputs, and understanding the nuances of Red Teaming and RLHF (Reinforcement Learning from Human Feedback). My unique blend of analytical aptitude, strong communication skills honed through teaching, and a genuine passion for advancing AI systems, positions me to make immediate and impactful contributions to diverse AI training projects.

IntermediatePortugueseEnglish

Labeling Experience

Labelbox

Project Data Insights

LabelboxComputer Code ProgrammingComputer Programming CodingData Collection
Conducted analysis for 'Project Data Insights', transforming raw data into actionable intelligence. This involved extracting key trends, patterns, and insights from various datasets to support strategic planning and operational improvements. Utilized data visualization principles and structured reporting to present complex information clearly and concisely, enabling stakeholders to make data-driven decisions.

Conducted analysis for 'Project Data Insights', transforming raw data into actionable intelligence. This involved extracting key trends, patterns, and insights from various datasets to support strategic planning and operational improvements. Utilized data visualization principles and structured reporting to present complex information clearly and concisely, enabling stakeholders to make data-driven decisions.

2025 - 2025
Labelbox

LaTeX documentation

LabelboxComputer Code ProgrammingComputer Programming CodingPrompt Response Writing SFT
Developed and formatted high-quality technical and academic documentation using LaTeX. This involved creating structured reports, research papers, and presentations with advanced typesetting, mathematical equations, and intricate formatting. My work ensured clarity, precision, and a professional aesthetic for complex technical content, demonstrating strong attention to detail and adherence to specific documentation standards.

Developed and formatted high-quality technical and academic documentation using LaTeX. This involved creating structured reports, research papers, and presentations with advanced typesetting, mathematical equations, and intricate formatting. My work ensured clarity, precision, and a professional aesthetic for complex technical content, demonstrating strong attention to detail and adherence to specific documentation standards.

2025 - 2025
Scale AI

Pangolin Translation

Scale AITextTranslation Localization
Participated in 'Pangolin SFT Translation' initiatives, focusing on creating and refining high-quality multilingual translation datasets for Supervised Fine-Tuning (SFT of LLMs). This involved translating diverse text segments, ensuring linguistic accuracy, contextual appropriateness, and cultural nuances across different languages. My work directly contributed to enhancing AI models' ability to perform accurate and fluent machine translation

Participated in 'Pangolin SFT Translation' initiatives, focusing on creating and refining high-quality multilingual translation datasets for Supervised Fine-Tuning (SFT of LLMs). This involved translating diverse text segments, ensuring linguistic accuracy, contextual appropriateness, and cultural nuances across different languages. My work directly contributed to enhancing AI models' ability to perform accurate and fluent machine translation

2025 - 2025
Scale AI

Xylophone Act

Scale AIAudioEmotion RecognitionEvaluation Rating
Participated in Xylophone Act exercises focused on audio data annotation and preparation for AI models. This involved recording specific audio samples, transcribing spoken content, classifying sound events, or evaluating the fidelity of AI-generated audio. Gained insights into the challenges and methodologies of preparing high-quality audio datasets for various AI applications, including speech-to-text and sound analysis.

Participated in Xylophone Act exercises focused on audio data annotation and preparation for AI models. This involved recording specific audio samples, transcribing spoken content, classifying sound events, or evaluating the fidelity of AI-generated audio. Gained insights into the challenges and methodologies of preparing high-quality audio datasets for various AI applications, including speech-to-text and sound analysis.

2025 - 2025
Scale AI

Pangolin Vision

Scale AIVideoClassificationObject Detection
Engaged in 'Pangolin Vision' exercises focused on image annotation and processing for computer vision models. Tasks included classifying images based on content, evaluating the accuracy of visual AI outputs. Developed a foundational understanding of how visual data is prepared and utilized to train AI systems for various recognition and detection tasks

Engaged in 'Pangolin Vision' exercises focused on image annotation and processing for computer vision models. Tasks included classifying images based on content, evaluating the accuracy of visual AI outputs. Developed a foundational understanding of how visual data is prepared and utilized to train AI systems for various recognition and detection tasks

2025 - 2025

Education

U

Universidade de São Paulo (USP)

MBA, Data Science and Analytics

MBA
Not specified
F

Faculdade Estácio de Sá

Bachelors in Languages, Languages

Bachelors in Languages
Not specified

Work History

F

Freelance

Teacher

Belo Horizonte
2000 - Present
O

Outlier

AI Training Specialist

Belo Horizonte
2024 - 2025