Scientific Researcher for AI Development

5 days ago

Belgaum, Karnataka, India beBeeScientist Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

About Us

We are a leading data engineering company serving over 2,000 customers worldwide.

Our AI solutions provider-of-choice for four of the five largest global technology companies, as well as top-tier organizations in finance, insurance, law, healthcare, and more.

We combine advanced ML/AI technologies, subject matter expertise, and secure infrastructure to unlock the full potential of artificial intelligence.

About the Role:

We are seeking highly analytical and detail-oriented scientific experts to support our AI training and model evaluation initiatives.

This role is ideal for PhDs 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, 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 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.

Qualifications:

  • PhD in Physics.
  • 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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