Selene C.

About Selene C.

I’m an AI consultant focused on building practical, scalable solutions that drive real…

Experience

1. Data Analyst Ii

   Meta

   Apr 2024 — Present

   I began as a Analyst and Red Teamer focusing on adversarial testing- my knowledge of syntax, semantics, and taxonomies to develop annotation guidelines, design multimodal labeling strategies, and ensure the consistency and quality of language and visual data across AI training projects. My work is grounded in rigorous Quality Assurance (QA) practices, with a strong emphasis on identifying linguistic and cultural biases across diverse languages—including (not limited to) English, Spanish, Chinese, and Polish. Key Responsibilities- Conduct in-depth linguistic QA and adversarial testing to uncover and mitigate risks related to policy violations, political sensitivities, and cultural nuances- Perform qualitative and quantitative assessments to ensure model responses are unbiased, contextually appropriate, and policy-aligned- Lead the development and automation of data pipelines to support model training, evaluation, and continuous improvement- Collaborate cross-functionally with engineering, policy, and product teams to integrate NLP and localization workflows into scalable AI systems- Support a wide range of projects—including but not limited to voice assistants, multilingual LLM evaluations, and prompt-response testing—ensuring robust language coverage and adaptability to real-world applications- Monitor and respond to emerging global events in real time, preventing potential risks and retraining AI models to reflect current sociopolitical landscapes.Skills:Red Teaming · Generative AI · Large Language Models (LLMs) · NLP · Linguistic QA · Python · SQL · MySQL · Machine Learning · Cross-Functional Collaboration · Policy Risk Analysis · Data Pipelines · AI Localization · Data Governance · Multilingual Testing

Education

• University of Arizona

  Astronomy

  2021

• International Business Machines Corporation

  Data engineering