AI Engineer – Data Generation & RLHF (Remote)

This role is ideal for a freelancer interested in supporting the development of large language models through data generation and reinforcement learning from human feedback (RLHF). The project centers on tasks such as Retrieval-Augmented Generation (RAG), vector operations, and related processes. The position is remote and offers flexibility in both timeline and deliverables, making it suitable for those looking to contribute to a startup’s early-stage research and planning. The initial engagement is for a single project, with the possibility of future collaboration based on project needs.Deliverables Generate and curate datasets for training and evaluating large language models. Implement RLHF workflows to improve model performance. Conduct vector operations and manage data pipelines for RAG tasks. Collaborate on the design and execution of experiments to assess model improvements. Document processes and provide clear reporting on progress and outcomes.Requirements Foundational understanding of large language models and machine learning concepts. Familiarity with RLHF methodologies and data generation techniques. Experience with Python and relevant ML libraries (such as PyTorch or TensorFlow). Ability to work independently and communicate progress effectively in a remote setting. Interest in research and willingness to learn new tools and frameworks as needed. Availability for a flexible, project-based engagement.About TwineTwine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Trusted by Fortune 500 companies and innovative startups alike, Twine enables companies to scale their teams globally.Our MissionTwine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.