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2 days ago
We are seeking highly analytical and detail-oriented scientific experts to contribute to our AI training and model evaluation initiatives.
- Contribute to the development and improvement of AI systems, including large language models (LLMs) and other machine learning pipelines.
- Create, curate, and evaluate scientific datasets, validate model outputs, and provide domain-specific insights.
Your Key Responsibilities will be:
- Creating high-quality scientific content and datasets to train or evaluate AI systems.
- Performing quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge.
- Analyzing and interpreting AI behavior in the context of domain-specific tasks and error patterns.
Collaboration is key as you will work closely with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects. Required Skills and Qualifications:
- A PhD in Biology or a closely related scientific discipline.
- Strong analytical skills and ability to apply theoretical knowledge to real-world datasets and AI systems.
- Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology.
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