Senior Scientific Data Specialist

5 days ago

Tiruppur, Tamil Nadu, India beBeeChemist Full time US$ 80,000 - US$ 1,50,000
Scientific Expert for AI Training and Model Evaluation

We are seeking highly analytical and detail-oriented scientific experts to support our cutting-edge AI 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 AI applications.

  • Create, review, or annotate 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.

The ideal candidate will possess a strong background in chemistry, excellent analytical skills, and the ability to apply theoretical knowledge to real-world datasets and AI systems.

Qualifications:
  • 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
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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