The Program Lead is responsible for designing and maintaining the AI fellowship curriculum, ensuring it aligns with industry standards and market demands. They will also oversee the instructor network, ensuring high-quality delivery and continuous improvement of learning materials.
Contributors will design and implement multi-file coding tasks including bug fixes, feature development, and refactoring. They are also responsible for writing specifications, developing test suites, and providing peer reviews for quality and accuracy.
Contributors will design and implement complex multi-file coding tasks, including bug resolution, feature development, and refactoring. They are also responsible for writing clear specifications, developing test suites, and providing actionable peer review feedback.
Contributors will design and implement multi-file coding tasks including bug fixes, feature development, and refactoring. They are also responsible for writing clear specifications, developing test suites, and providing actionable peer review feedback.
Contributors will design and implement complex multi-file coding tasks, including bug resolution, feature development, and refactoring. They are also responsible for writing clear specifications, developing test suites, and providing actionable peer review feedback.
Contributors will design and implement multi-file coding tasks, including bug fixes, feature development, and refactoring. They are also responsible for writing clear specifications, developing test suites, and providing actionable peer review feedback.
Contributors will design and implement multi-file coding tasks including bug fixes, feature development, and refactoring. They are also responsible for writing specifications, developing test suites, and providing structured peer review feedback.
Contributors will design and implement multi-file coding tasks including bug fixes, feature development, and refactoring. They are also responsible for writing clear specifications, developing test suites, and providing actionable peer review feedback.
Contributors will design and implement multi-file coding tasks including bug fixes, feature development, and refactoring. They are also responsible for writing specifications, developing test suites, and providing structured peer review feedback.
You will lead the development and evolution of the Human Data platform, including evaluation environments for RL, coding, and STEM. Additionally, you will manage operational workflows such as payments, task approvals, and project taxonomies to ensure production efficiency.
The role involves reviewing CVE reproduction environments for technical accuracy and evaluating the effectiveness of proposed security fixes. You will also verify that security patches address root causes without disrupting normal application functionality.
Review and evaluate real-world software engineering tasks derived from open-source repositories for technical soundness and reproducibility. Provide clear recommendations on whether tasks should be accepted, improved, or excluded based on quality and complexity assessments.
You will evaluate and improve NKI kernel development tasks for AI workloads on AWS Trainium hardware. This includes performing technical feedback, benchmarking performance, and ensuring numerical correctness across different backends.
You will review and evaluate machine learning challenges to ensure they are technically sound, reproducible, and appropriately difficult. This involves analyzing datasets, metrics, and pipelines to detect flaws like data leakage, label noise, and metric gaming.
You will be responsible for reviewing, debugging, and evaluating high-performance compute kernels to ensure technical correctness and optimal performance. This involves profiling benchmarks, performing hardware migrations, and providing actionable technical feedback on AI workload implementations.
You will work on scoped software engineering projects involving debugging, feature development, and system migrations. Responsibilities include writing technical specifications, conducting code reviews, and developing robust test suites.
You will work on project-based software engineering tasks including debugging, feature development, and system migrations. Responsibilities also involve writing technical specifications, conducting code reviews, and developing comprehensive test suites.
You will work on project-based software engineering tasks including debugging, feature development, refactoring, and migrations. Responsibilities also include writing technical specifications, conducting code reviews, and developing comprehensive test suites.
Contributors will design and implement complex multi-file coding tasks, including bug fixes, feature development, and refactoring. They are also responsible for writing clear specifications, developing test suites, and providing structured peer reviews for quality assurance.
Contributors will design and implement complex coding tasks, including bug resolution, feature development, and refactoring. They are also responsible for writing technical specifications, developing test suites, and providing peer reviews for quality assurance.
You will work on project-based software engineering tasks including debugging, feature development, refactoring, and system migrations. Responsibilities also include writing technical specifications, conducting code reviews, and developing comprehensive test suites.
You will work on project-based software engineering tasks including debugging, feature development, refactoring, and system migrations. Responsibilities also involve writing technical specifications, conducting code reviews, and developing comprehensive test suites.
You will work on project-based software engineering tasks including debugging, feature development, refactoring, and system migrations. You are also responsible for writing technical specifications, conducting code reviews, and developing comprehensive test suites.
You will work on project-based software engineering tasks including debugging, feature development, refactoring, and system migrations. Additionally, you will be responsible for writing technical specifications, conducting code reviews, and developing comprehensive test suites.
You will work on project-based software engineering tasks including debugging, feature development, refactoring, and system migrations. Responsibilities also include writing technical specifications, developing test suites, and performing code reviews to ensure production-quality deliverables.
You will work on project-based software engineering tasks including debugging, feature development, refactoring, and system migrations. Responsibilities also include writing unit and integration tests, creating technical documentation, and performing code reviews to ensure quality.
You will work on project-based software engineering tasks including debugging, feature development, and system refactoring. Responsibilities also involve writing technical specifications, conducting code reviews, and developing comprehensive test suites.
Design rigorous, deterministic bioinformatics problems to test and improve the reasoning capabilities of frontier AI models. Develop complete, verified solutions and document the reasoning process for tasks involving genomics, proteomics, and computational biology.
Design rigorous, deterministic energy engineering problems to test and improve the reasoning capabilities of frontier AI models. Develop complete, verified solutions and document the reasoning process using quantitative analysis and technical modeling tools.
Design rigorous, deterministic electrical engineering problems that challenge state-of-the-art AI models. Develop complete, verified solutions and document the reasoning process for technical evaluation pipelines.
Design rigorous, deterministic genetics problems that challenge state-of-the-art AI models. Develop verified solutions and document the reasoning process for complex topics like Mendelian, population, and molecular genetics.
Design rigorous, deterministic architectural engineering problems to test and improve the reasoning capabilities of frontier AI models. Document complete, verified solutions and ensure all outputs are technically precise and reproducible.
Design rigorous, deterministic civil engineering problems to test and improve the reasoning capabilities of frontier AI models. Develop complete, verified solutions and document the reasoning process for complex engineering scenarios.
Design rigorous, deterministic mechanical engineering problems that test and improve the reasoning capabilities of frontier AI models. Develop complete, verified solutions and document the reasoning process for each problem created.
Design advanced, deterministic biology problems that challenge frontier AI systems with verifiable solutions. Utilize Python and specialized bioinformatics tools to build tasks involving experimental reasoning and computational analysis.
Design challenging, deterministic biology problems with verified solutions to improve AI model reasoning. Utilize Python and bioinformatics tools to create tasks involving experimental reasoning and quantitative biological analysis.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Ensure all tasks are reproducible, technically precise, and documented with verified solutions.
Design difficult, deterministic chemistry problems that reflect real scientific workflows for AI training. Develop reasoning-intensive tasks using Python and domain-specific simulation tools with verified solutions.
Design advanced, deterministic chemistry problems that require deep reasoning and computational rigor for AI training. Develop verified solutions and documentation while utilizing Python and domain-specific chemistry software tools.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Develop reproducible tasks using Python and domain-specific software while ensuring all solutions are technically precise and well-documented.
Design difficult, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Develop reproducible tasks using Python and domain-specific simulation tools while providing verified solutions and technical documentation.
Design difficult, deterministic chemistry problems that require deep reasoning and computational rigor for AI training. Develop reproducible tasks using Python and specialized chemistry software while providing verified solutions and technical documentation.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Ensure all tasks are reproducible, technically precise, and documented with verified solutions.
Design difficult, deterministic chemistry problems that reflect real scientific workflows for AI training. Develop reasoning-intensive tasks using Python and domain-specific simulation tools with verified solutions.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Create high-quality, reproducible tasks with verified solutions using Python and domain-specific simulation tools.
Design advanced, deterministic chemistry problems that require deep reasoning and computational rigor for AI training. Develop verified solutions and documentation while utilizing Python and domain-specific simulation tools.
Design difficult, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Develop reproducible tasks using Python and domain-specific simulation tools while ensuring technical precision.
Design difficult, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Ensure all tasks are reproducible, technically precise, and documented with verified solutions.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Ensure all tasks are reproducible, technically precise, and documented with full verified solutions.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Ensure all tasks are reproducible, technically precise, and documented with verified solutions.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Ensure all tasks are reproducible, technically precise, and documented with verified solutions.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Develop reproducible tasks using Python and domain-specific simulation tools while ensuring clear technical documentation.
Design difficult, deterministic chemistry problems that reflect real scientific workflows for AI model training. Develop reasoning-intensive tasks using Python and domain-specific simulation tools while ensuring technical precision.
Design difficult, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Develop reproducible tasks using Python and specialized chemistry software while providing verified solutions.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Ensure all tasks are reproducible, technically precise, and documented with verified solutions.
Design advanced, deterministic chemistry problems that challenge modern AI systems with deep reasoning and computational rigor. Ensure all tasks are reproducible, technically precise, and documented with verified solutions.
The role involves planning and implementing designs for educational content, marketing materials, and product interfaces. You will also be responsible for testing designs for intuitivity and user experience to improve engagement.
Lead the job preparation program for ML Fellows by providing guidance on resumes, LinkedIn profiles, and interview techniques. Manage the end-to-end placement process, including 1:1 coaching and collaborating with hiring managers in the US and LATAM.
The Lead AI/ML Instructor will deliver live lectures, facilitate assignments, and provide feedback to students in an accelerated training program. They are also responsible for reviewing and updating the course curriculum and materials using tools like Jupyter Notebooks and LMS.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for correctness and create detailed reference implementations and specifications.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and test suites. Review peer-generated tasks for correctness and ensure alignment between specifications and code outputs.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create high-quality reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create clear natural-language specifications and reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create high-quality reference implementations.
Design and maintain automation workflows and BI dashboards to support cross-functional teams in admissions, career services, and billing. Manage data accuracy and operational efficiency using a variety of no-code and low-code tools.
The role involves designing and owning frontier-grade evaluation packages for LLM capabilities across reasoning, coding, and multi-modal tasks. You will manage expert pools and act as the technical point of contact for labs to translate measurement needs into rigorous evaluation designs.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create clear natural-language specifications and reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and refactoring. Create reference implementations and review peer submissions to ensure quality, correctness, and realism.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for correctness and ensure alignment between specifications and code.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and refactoring. Create reference implementations and review peer submissions to ensure quality, correctness, and realism.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create clear natural-language specifications and reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for correctness and ensure alignment between specifications and code.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and test suites. Review peer-generated tasks for correctness and ensure alignment between specifications and code.
Manage end-to-end delivery of human data projects, including staffing expert pools and ensuring high-quality production. Oversee quality control structures and track contributor throughput to meet deadlines and maintain margins.
Lead the design and delivery of high-quality data proposals and benchmark packages for AI labs. Manage the end-to-end pilot process, including recruiting subject-matter experts and ensuring rigorous quality control.
Own and grow relationships with AI lab partners by scoping new engagements and converting pilots into production work. Act as the senior point of contact to ensure account health and oversee delivery outcomes through Human Data Managers.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to test deep mathematical reasoning and technical precision.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to test deep mathematical reasoning and technical precision.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to test deep mathematical reasoning and technical precision.
Design rigorous, deterministic mathematical problems and verified solutions to train and evaluate frontier AI models. Develop computational workflows using Python to ensure technical precision and reproducibility.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design rigorous, deterministic physics problems and verified solutions to train frontier AI models. Develop complex problems that test deep physical reasoning and utilize Python for simulations and computational workflows.
Design rigorous, deterministic physics problems and verified solutions to train frontier AI models. Develop complex simulations and computational workflows using Python to test deep physical reasoning.
Design rigorous, deterministic physics problems and verified solutions to train frontier AI models. Develop complex simulations and computational workflows using Python to test deep physical reasoning.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Use Python and scientific libraries to build simulations and computational workflows for technical evaluation.
Design rigorous, deterministic physics problems and verified solutions to train frontier AI models. Use Python and specialized tools to build simulations and computational workflows for technical evaluation.
Design rigorous, deterministic physics problems and verified solutions to train frontier AI models. Develop complex problems that test deep physical reasoning and use Python for simulations and computational workflows.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design rigorous, deterministic physics problems and verified solutions to train frontier AI models. Develop complex problems that test deep physical reasoning and utilize Python for simulations and computational workflows.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design advanced, deterministic physics problems and verified solutions to train and evaluate frontier AI models. Use Python and specialized tools to build simulations and computational workflows that test deep physical reasoning.
Design rigorous, deterministic physics problems and verified solutions to train frontier AI models. Develop complex simulations and computational workflows using Python to test deep physical reasoning.
Design rigorous, deterministic physics problems and verified solutions to train frontier AI models. Use Python and specialized tools to build simulations and computational workflows that test deep physical reasoning.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design advanced, deterministic physics problems and verified solutions to train and evaluate frontier AI models. Use Python and specialized tools to build simulations and computational workflows that test deep physical reasoning.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
Design advanced, deterministic physics problems and verified solutions to train frontier AI models. Develop complex reasoning tasks and use Python to build simulations or computational workflows.
The role involves assessing the accuracy and quality of AI-generated content and creating high-quality technical prompts and answers. Experts will evaluate and rank model responses to identify hallucinations and improve overall AI performance.
The role involves assessing the accuracy and quality of AI-generated content and creating high-quality technical prompts and answers. Experts will evaluate and rank model responses to identify hallucinations and improve overall AI performance.
The role involves assessing the accuracy and quality of AI-generated content and creating high-quality technical prompts. Experts will evaluate and rank model responses to identify hallucinations and improve overall AI performance.
The role involves assessing the accuracy and quality of AI-generated content and creating high-quality technical prompts and answers. The expert will evaluate model responses for reasoning, clarity, and factual correctness to improve AI system performance.
The role involves assessing the accuracy and quality of AI-generated content and creating high-quality technical prompts and answers. Experts will rank model responses and provide feedback to improve AI system performance.
The role involves assessing the accuracy and quality of AI-generated content and creating high-quality technical prompts and answers. Experts will identify hallucinations and provide feedback to improve the performance of AI systems.
The role involves assessing the factual accuracy and technical quality of AI-generated content related to Machine Learning and AI. Experts will create high-quality technical prompts and evaluate model responses for reasoning, clarity, and correctness.
The role involves assessing the accuracy and quality of AI-generated content and creating high-quality technical prompts and answers. Experts will evaluate and rank model responses to identify errors and improve AI system performance.
The role involves assessing the accuracy and quality of AI-generated content and creating high-quality technical prompts and answers. Experts will evaluate model responses for reasoning, clarity, and factual correctness to improve AI system performance.
Train and evaluate generative AI models by reviewing, writing, and assessing the factual accuracy of quantitative finance content. Provide feedback to improve the reasoning and usefulness of AI-generated responses.
Train and evaluate generative AI models by reviewing, writing, and ranking content related to quantitative finance. Ensure the factual accuracy and reasoning of AI-generated responses through detailed feedback.
Train and evaluate generative AI models by reviewing, writing, and assessing the factual accuracy of quantitative finance content. Provide feedback to improve the reasoning and usefulness of AI-generated responses.
Train and evaluate generative AI models by reviewing, writing, and ranking content related to quantitative finance. Ensure the factual accuracy and reasoning of AI-generated responses to improve model usefulness.
Train and evaluate generative AI models by reviewing, writing, and ranking content related to quantitative finance. Ensure the factual accuracy, reasoning, and clarity of AI-generated technical responses.
Train and evaluate generative AI models by reviewing, writing, and ranking content related to quantitative finance. Ensure the factual accuracy and reasoning of AI-generated responses through technical feedback.
Train and evaluate generative AI models by reviewing, writing, and assessing the factual accuracy of quantitative finance content. Provide feedback to improve the reasoning, relevance, and clarity of AI-generated technical responses.
Train and evaluate generative AI models by reviewing, writing, and ranking content related to quantitative finance. Ensure the factual accuracy and reasoning of AI-generated responses to improve model performance.
Train and evaluate generative AI models by reviewing, writing, and assessing the factual accuracy of quantitative finance content. Provide feedback to improve the reasoning and usefulness of AI-generated responses.
Train and evaluate generative AI models by reviewing, writing, and ranking content related to quantitative finance. Ensure the factual accuracy and reasoning of AI-generated responses through technical feedback.
Train and evaluate generative AI models by reviewing, writing, and assessing the factual accuracy of Quantitative Finance content. Provide feedback to improve the reasoning, relevance, and clarity of AI-generated responses.
Train and evaluate generative AI models by reviewing, writing, and ranking content related to quantitative finance. Ensure the factual accuracy and reasoning of AI-generated responses through detailed feedback and technical questioning.
Design and implement complex, multi-file coding tasks including bug fixes, feature development, and test suites. Review peer-generated tasks for accuracy, realism, and alignment with specifications.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer submissions for accuracy and create clear natural-language specifications and reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and test suites. Review peer submissions for quality, accuracy, and realism while ensuring alignment between specifications and code.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and test suites. Review peer submissions for accuracy and ensure alignment between specifications and reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create clear natural-language specifications and reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and test suites. Review peer-generated tasks for accuracy and ensure alignment between specifications and code outputs.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create high-quality reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create clear natural-language specifications and reference implementations.
Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create clear natural-language specifications and reference implementations.
