• Research and improve open-source video and multimodal video generation foundation models • Focus on one or more areas such as pre-training, supervised fine-tuning, post-training, inference, architecture design, or evaluation • Benchmark models against current state-of-the-art, identify bottlenecks, and propose novel improvements • Work with large-scale video datasets and distributed training systems • Collaborate with researchers and engineers on projects with clear research and publication potential

• Pioneer multimodal and video-centric research that moves fast and breaks ground, contributing directly to usable prototypes and scalable systems. • Design and implement novel AI architectures for multimodal language models, integrating text, visual, and audio modalities. • Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems across thousands of GPUs. • Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput. • Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text). • Collaborate cross-functionally with research and engineering teams to translate cutting-edge model innovations into production-grade solutions. • Prototype generative AI applications showcasing new capabilities of multimodal foundation models in real-world products. • Develop benchmarking tools to rigorously evaluate model performance across diverse multimodal tasks.

Role Description - Develop high-quality data by creating challenging problems in: - Advanced Quantum Mechanics - Advanced Electrodynamics - Advanced Classical Mechanics - Evaluate and refine AI model training with rigorous physics expertise. - Collaborate with AI research teams to enhance model outputs and innovation. - Work independently and asynchronously to meet task deadlines. - Contribute to a cutting-edge project involving state-of-the-art large language models. Qualifications - PhD in Physics with specialization in: - Advanced Quantum Mechanics - Advanced Electrodynamics - Advanced Classical Mechanics - Graduate degree from US/UK/Canada/Western Europe. - High attention to detail. - Exceptional written and verbal communication skills. - Excellent proficiency in English. Requirements - Contract position. - Compensation: $70–$90/hour. - Location: Remote. - Commitment: 4–6 tasks/week. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

• Work with stakeholders to convert business requirements into technical specifications. • Train LLMs from scratch on a large GPU cluster. • Collect and process pre-training and fine-tuning datasets. • Support and improve existing subsystems.