AI Researcher (Internship) at DATAmundi in Remote

Summary: DATAmundi is a company that builds advanced software solutions for localization and data services. They are seeking a part-time AI Researcher to contribute to applied research, co-author technical papers, and prototype research systems related to AI model evaluation and validation methodologies. Responsibilities: - Conduct applied research related to AI model evaluation, data quality, and validation methodologies - Co-author research papers, technical reports, and whitepapers - Implement research prototypes and experimental systems - Support internal R&D initiatives in areas such as Agentic AI systems, LLM evaluation and validation, Speech and multimodal model assessment, Data-centric AI methodologies - Collaborate with the engineering team to translate research ideas into practical workflows - Develop experimental code and proof-of-concept implementations - Work with datasets used for training, evaluation, and benchmarking - Design experiments and analyze results - Document methodologies and experimental findings - Write technical blog articles explaining recent advances in AI and ML - Translate complex research topics into accessible technical content - Support marketing and communications teams with technically accurate material - Contribute educational materials and technical explainers - Attend academic and industry conferences - Engage with researchers from AI companies and academia - Discuss research topics, evaluation challenges, and data requirements - Identify opportunities for collaboration related to dataset needs and model evaluation - Maintain professional follow-up communication after conferences Required Qualifications: - Current PhD student, doctoral candidate, or recent graduate in: Machine Learning/Artificial Intelligence/Natural Language Processing/Speech Processing/Computer Science or related field - Strong understanding of modern AI models (LLMs, speech models, or multimodal systems) - Experience implementing research code in Python - Familiarity with common ML frameworks - Ability to read and understand academic papers - Strong written English skills - Interest in applied research and real-world deployment challenges Preferred Qualifications: - Research experience in Agentic AI, LLM evaluation, or model alignment - Experience preparing or submitting research papers and technical report - Experience working with datasets and benchmarking methodologies - Experience with speech datasets or audio processing - Experience with prompt engineering or evaluation frameworks - Public speaking or academic presentation experience - Interest in engaging with the research community Required Skills: Machine Learning, Natural Language Processing, Python Important Skills: AI Model Evaluation, Research Writing, Speech Processing Nice-to-Have Skills: Public Speaking, Networking, Technical Communication Benefits: Conference attendance (travel to conferences will be funded on relevant events defined with our CTO and Marketing department – e.g. ACL, Interspeech, NeurIPS, etc.)