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
Evaluate and review neuroscience-related data, research, and case studies for accuracy and relevance.
Craft detailed explanations, annotations, and commentary to clarify complex neuroscience concepts for AI training purposes.
Develop or assess scenario-based questions and exercises based on current neuroscience understanding.
Identify emerging trends, theories, and methodologies within neuroscience that can inform AI reasoning.
Verify the consistency and scientific integrity of project content aligned with established neuroscience standards.
Collaborate with project facilitators to refine deliverables and ensure the quality of submitted materials.
Contribute insights on the application of neuroscience principles in real-world contexts to enhance data realism and applicability.
Preferred skills
Advanced degree (PhD, MD, or equivalent experience) in neuroscience or a closely related field.
Proven track record of research, teaching, or consulting within the neuroscience discipline.
Strong analytical skills with the ability to synthesize and communicate complex scientific concepts.
Experience authoring or reviewing scientific publications, datasets, or educational materials related to neuroscience.
Awareness of recent advancements, trends, and challenges in neuroscience research or clinical practice.
Detail-oriented approach with a commitment to accuracy and scientific rigor.
Prior experience collaborating on multidisciplinary or cross-functional projects 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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