Diogo Simões

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Mindrift

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Fine Tuning

Prompt Response Writing SFT

RLHF

Text Generation

Translation Localization

Freelancer Overview

I have extensive experience in data labeling and AI training, contributing to the development of cutting-edge AI models across multiple domains. As a Translation Specialist for Appen, I worked on high-impact projects such as the Fireweed and Angaram initiatives, where I ensured the linguistic and contextual accuracy of annotated data for large language models. This involved reviewing, translating, and refining multilingual content in Portuguese, Spanish, and English, enhancing model performance and inclusivity. Additionally, I provided localization ratings and synthesized complex information to align data with project objectives, supporting robust AI applications. In my role as a Search Quality Rater at Welocalize, I specialized in understanding user intent to improve search engine functionality through accurate data curation. My technical proficiency, multilingual expertise, and ability to navigate complex guidelines allow me to deliver high-quality labeled data that supports the advancement of AI technologies. With hands-on experience in reinforcement learning and supervised fine-tuning, I bring a unique blend of linguistic, analytical, and technical skills to the field of AI training.

Labeling Experience

Search Quality Rater

OtherTextTranslation LocalizationFine Tuning

• -Develop and augment AI data for project advancement. • -Utilize a unique understanding of user intentions to enhance the online search experience. • -Provide subjective and objective ratings following project rules and conventions. • -Directly impact the user experience by improving search engine functionality.

• -Develop and augment AI data for project advancement. • -Utilize a unique understanding of user intentions to enhance the online search experience. • -Provide subjective and objective ratings following project rules and conventions. • -Directly impact the user experience by improving search engine functionality.

2023

Translation Specialist – Angaram Project

AppenAudioText GenerationEvaluation Rating

• Contributed to the development of innovative AI speech recognition technology at CrowdGen. • As a Translation Specialist, I translated speech transcripts to help create inclusive and unbiased AI models that break language barriers. • Translated and revised speech transcripts for clarity, coherence, and grammatical accuracy. • Evaluated machine translations to improve audio and text machine translation engines in multiple language pairs. • Adhered to quality standards and best practices in translation, ensuring high-quality outputs. • Contributed to the development of inclusive and unbiased AI models

• Contributed to the development of innovative AI speech recognition technology at CrowdGen. • As a Translation Specialist, I translated speech transcripts to help create inclusive and unbiased AI models that break language barriers. • Translated and revised speech transcripts for clarity, coherence, and grammatical accuracy. • Evaluated machine translations to improve audio and text machine translation engines in multiple language pairs. • Adhered to quality standards and best practices in translation, ensuring high-quality outputs. • Contributed to the development of inclusive and unbiased AI models

2023

Translation Specialist – Fireweed Project

AppenTextRLHFEvaluation Rating

• Contributed to developing and fine-tuning a Large Language Model (LLM) capable of operating across multiple language domains. • The project aimed to enhance the model's versatility, ensuring it can accurately understand and generate text specific to each domain while maintaining contextual and linguistic integrity. • Reviewed and analyzed articles on various topics to assign localization ratings and ensure data quality. • Generated challenging questions that required comprehension and synthesis of information. • Provided concise and unambiguous answers to questions, adhering to project guidelines. • Contributed to the development of a robust and scalable solution for diverse language applications.

• Contributed to developing and fine-tuning a Large Language Model (LLM) capable of operating across multiple language domains. • The project aimed to enhance the model's versatility, ensuring it can accurately understand and generate text specific to each domain while maintaining contextual and linguistic integrity. • Reviewed and analyzed articles on various topics to assign localization ratings and ensure data quality. • Generated challenging questions that required comprehension and synthesis of information. • Provided concise and unambiguous answers to questions, adhering to project guidelines. • Contributed to the development of a robust and scalable solution for diverse language applications.

2023

Data Contributor for Amethyst Image Collection Project

OtherImageData Collection

•Contributed to the development of AI technology by collecting and sharing photos of indoor and outdoor hobbies and sports activities for the Amethyst Image Collection project at TransPerfect DataForce. • Curated and contributed a diverse dataset of high-quality images, enhancing the project's overall accuracy and reliability; • Demonstrated expertise in image annotation, providing concise and descriptive captions that accurately captured the essence of each photo; Utilized strong organizational skills to categorize and submit images across multiple hobby and sports categories, meeting project requirements and deadlines; • Collaborated with the project team to ensure seamless data collection and upload processes, adhering to project guidelines and standards; • Contributed to the development of a robust and inclusive dataset, supporting the advancement of AI technology and its applications.

•Contributed to the development of AI technology by collecting and sharing photos of indoor and outdoor hobbies and sports activities for the Amethyst Image Collection project at TransPerfect DataForce. • Curated and contributed a diverse dataset of high-quality images, enhancing the project's overall accuracy and reliability; • Demonstrated expertise in image annotation, providing concise and descriptive captions that accurately captured the essence of each photo; Utilized strong organizational skills to categorize and submit images across multiple hobby and sports categories, meeting project requirements and deadlines; • Collaborated with the project team to ensure seamless data collection and upload processes, adhering to project guidelines and standards; • Contributed to the development of a robust and inclusive dataset, supporting the advancement of AI technology and its applications.

2024 - 2024

AI Prompt Evaluation and Rewriting

OtherTextRLHFFine Tuning

• Specialization in optimizing AI systems for a leading enterprise client in GPU technology, focusing on gaming, cryptocurrency, and professional applications. • Work in Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) integrates advanced STEM skills, including mathematics and coding, to enhance AI accuracy, coherence, and user alignment. • Evaluated and refined AI-generated responses for quality, correctness, and user alignment. • Utilized mathematical reasoning and coding expertise to assess structured outputs and complex tasks. • Improved AI performance through preference ranking, structured feedback, and rigorous evaluations. • Translated complex user needs into precise prompts, enhancing AI model understanding and response accuracy by 30%, leveraging extensive domain expertise in technical fields and client consultations.

• Specialization in optimizing AI systems for a leading enterprise client in GPU technology, focusing on gaming, cryptocurrency, and professional applications. • Work in Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) integrates advanced STEM skills, including mathematics and coding, to enhance AI accuracy, coherence, and user alignment. • Evaluated and refined AI-generated responses for quality, correctness, and user alignment. • Utilized mathematical reasoning and coding expertise to assess structured outputs and complex tasks. • Improved AI performance through preference ranking, structured feedback, and rigorous evaluations. • Translated complex user needs into precise prompts, enhancing AI model understanding and response accuracy by 30%, leveraging extensive domain expertise in technical fields and client consultations.

2024 - 2024

Education

Work History