
AI Research Specialist
7 days ago
You will contribute to the development and improvement of AI systems by creating, curating, and evaluating scientific datasets, validating model outputs, and providing domain-specific insights.
The ideal candidate has a strong analytical mindset, excellent writing, editing, and communication skills. Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology is beneficial.
Experience with AI/ML concepts, data annotation, programming, or computational modeling is preferred but not required.
Key Responsibilities:- Create high-quality scientific content and datasets to train or evaluate AI systems.
- Perform quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge.
- Analyze and interpret AI behavior in the context of domain-specific tasks and error patterns.
- Support the development of guidelines for scientific content generation and annotation.
- Collaborate with internal engineering, data, and linguistic teams to ensure accuracy and consistency across projects.
- Conduct domain-specific research and synthesize findings to guide model improvements.
- Identify and resolve issues related to ambiguity, bias, or misrepresentation in scientific content.
- PhD in Computer Science.
- 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.
- Attention to detail and ability to critically evaluate scientific content for accuracy and clarity.
- Excellent writing, editing, and communication skills.
- Experience with AI/ML concepts, data annotation, programming, or computational modeling (preferred).
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