I help companies improve AI model performance, data quality, and ad relevance through accurate annotation, content evaluation, and consistent application of quality and policy guidelines. Passionate about human-in-the-loop AI, I specialize in ensuring models are not only accurate but also safe and aligned with user expectations.
Key Skills & Contributions:
- Data Annotation & RLHF: High-quality labeling and response evaluation for complex LLM/ML models.
- Content Evaluation: Expert assessment of ads and content for relevance, compliance, and accuracy
- Quality Assurance: Consistent adherence to guidelines to support robust model optimization and user trust.
- Soft Skills: Proven ability in time management, working independently, and collaborating effectively in distributed/remote teams.
I am detail-oriented and adaptable, ready to contribute to teams that prioritize accuracy, quality, and responsible AI development.
Let’s connect! Feel free to reach out via email at Email not available. Sign in: https://www.twine.net/signup to discuss how I can support your data annotation or AI training projects.
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