Chemistry - AI Trainer (MSc. or PhD)

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Part Time

Job Description

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Job Summary:

Join our customer's team as a Chemistry - AI Trainer and play a pivotal role in shaping the next generation of AI-driven chemistry solutions. In this full-time, remote position, you will leverage your chemistry expertise to enhance and train AI models, ensuring precise and contextually accurate chemical knowledge. If you are passionate about science and technology, this is your chance to make a direct impact in a rapidly evolving field.


Key Responsibilities:

  • Collaborate with AI engineers and data scientists to develop and refine chemistry-related AI models.
  • Analyze and curate chemistry datasets to enhance AI training quality and relevance.
  • Assess AI-generated content for scientific accuracy and clarity, providing structured feedback for continuous improvement.
  • Design and implement training protocols for AI systems based on real-world chemistry applications.
  • Document key findings and processes to inform ongoing AI model development.
  • Communicate technical concepts and recommendations clearly to both technical and non-technical stakeholders.
  • Stay updated on advancements in chemistry and AI fields to integrate cutting-edge knowledge into training strategies.


Required Skills and Qualifications:

  • (MSc. or PhD) in Chemistry or a closely related scientific discipline.
  • Demonstrated expertise in chemistry concepts, terminology, and laboratory practices.
  • Exceptional written and verbal communication skills with keen attention to detail.
  • Proven ability to explain complex scientific concepts in a clear, accessible manner.
  • Experience working collaboratively in team-based environments, ideally remotely.
  • Strong analytical skills and a data-driven mindset.
  • Motivation to bridge the gap between scientific knowledge and AI technology.


Preferred Qualifications:

  • Experience with AI, machine learning, or data annotation projects.
  • Background in science communication or technical writing.
  • Familiarity with computational chemistry or cheminformatics platforms.

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