
Scientific Data Analyst
2 days ago
About the Role:
We are seeking highly analytical and detail-oriented scientific experts to support AI training and model evaluation initiatives.
This role is ideal for individuals who have a passion for research, critical thinking, and applying domain-specific knowledge to cutting-edge AI applications.
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.
- 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.
Requirements:
- PhD in Mathematics
- 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.
- (Preferred) Experience with AI/ML concepts, data annotation, programming, or computational modelling.
Nice to Have:
- Experience working with large datasets or scientific databases.
- Knowledge of machine learning pipelines, NLP, or LLMs.
- Previous experience in interdisciplinary research or technical consulting.
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