• Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200). • Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data. • Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio. • Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics. • Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages. • Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations. • Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms. • Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

Role Description - Develop challenging problems in String theory, Quantum Field theory, particle physics, or nuclear physics to inform AI innovation. - Contribute to high-quality data creation for state-of-the-art large language models. - Evaluate and refine AI model training and outputs with rigorous physics expertise. - Collaborate asynchronously and independently to meet project deadlines. - Ensure complex instructions are followed accurately to enhance AI model performance. Qualifications - PhD in Physics with specialization in String theory, Quantum Field theory, particle physics, or nuclear physics. - Graduate degree from US/UK/Canada/Western Europe. - High attention to detail. - Exceptional written and verbal communication skills. - Excellent proficiency in English. Requirements - Start Date: February; applications reviewed on a rolling basis. Benefits - Compensation: $70–$90/hour. - Location: Remote. - Commitment: 4–6 tasks/week. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com . - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description - Develop challenging problems in String theory, Quantum Field theory, particle physics, or nuclear physics to inform AI innovation. - Contribute to high-quality data creation for state-of-the-art large language models. - Evaluate and refine AI model training and outputs with rigorous physics expertise. - Collaborate asynchronously and independently to meet project deadlines. - Ensure complex instructions are followed accurately to enhance AI model performance. Qualifications - PhD in Physics with specialization in String theory, Quantum Field theory, particle physics, or nuclear physics. - 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.

Role Description - Design challenging, real-world STEM problems to evaluate model reasoning and problem-solving. - Implement tasks using Python in an agentic development environment. - Analyze model/agent behavior to diagnose reasoning gaps and improve performance. - Develop reproducible and testable deliverables with clear specifications and deterministic tests. - Collaborate with AI research teams to enhance model outputs and training data quality. - Work independently and asynchronously to meet deadlines and project goals. Qualifications - Deep expertise in data science, machine learning, finance, and/or Python-based coding. - Active or recently graduated PhD (Top 20 U.S.-based school). - Strong research background in frontier STEM topics. - Ability to engage reliably for 30+ hours/week, primarily on weekdays. - Demonstrated technical output such as high-quality open-source contributions. - Comfort reading and reasoning about agent behavior traces to diagnose failure modes. Requirements - Familiarity with agentic frameworks and OSS ecosystems like LangChain, MetaGPT, AutoGen, AutoGPT, CrewAI, LlamaIndex, BabyAGI, SuperAGI, CAMEL, AgentGPT, Dify. Benefits - Compensation: $50–$100/hour - Commitment: 30+ hours/week - Type: Contract Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.