Chemistry Specialist for AI Development

6 days ago

Dombivli, Maharashtra, India beBeeScientist Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
Scientific Expert for AI Training and Model Evaluation

We are seeking a highly analytical and detail-oriented scientific expert to support our AI training and model evaluation initiatives. This role is ideal for PhDs in Physics, Chemistry, Biology, or Computer Science 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.

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.
Requirements:
  • PhD in Chemistry
  • 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 modeling.
Desirable Skills:
  • 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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