Key Responsibilities :
- Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains.
- Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts.
- Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights.
- Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems.
- Develop novel algorithms and models for AI-driven applications across various domains.
- Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products.
Required Qualifications :
PhD preferred.Strong background in machine learning, deep learning, reinforcement learning, or natural language processing.Proven track record of original research, including publications in leading AI conferences or journals.Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).Ability to think critically and creatively to address complex AI challenges.Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting.Skills Required
Machine Learning, Deep Learning, Nlp, Tensorflow, Pytorch, Python, Research Science