In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Responsibilities
Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.
Preferred skills
Advanced degree (PhD preferred) in Chemistry or closely related field.
Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
Experience contributing to interdisciplinary projects or cross-functional collaborations.
Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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