Role Description Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - We create high-quality STEM training data for frontier AI models. - Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. - We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. - Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. What you’ll do: - Design advanced mathematical problems for frontier AI training and evaluation. - Create deterministic problems with exactly one correct answer. - Write complete, verified solutions and clearly document the reasoning process. - Develop problems that test deep mathematical reasoning, not just memorization. - Where relevant, use Python or specialized tools to build computational workflows. - Ensure all outputs are technically precise, reproducible, and well-written in English. Qualifications - Master’s or PhD in Mathematics or a closely related field. - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics. - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar. - Solid grasp of algorithms, numerical methods, and computational approaches. - Ability to design original, difficult problems that mirror real mathematical workflows. - Excellent attention to detail and technical writing skills in English. Requirements - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software (nice to have). - Background in olympiad-level, graduate-level, or research-level problem design (nice to have). - Experience evaluating model reasoning, benchmarking, or technical assessment design (nice to have). Benefits - Remote work opportunity. - Contract / Part-time position. - Commitment of 20 hours per week. - Compensation of up to 40 USD / hr. - Project duration of 2 months, with potential extension. - Immediate start availability.

Role 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. Position: Mathematics Researchers (Part-time) Type: Contract Compensation: $90–$150/hour Location: Remote Commitment: 8–20 hours/week Role Responsibilities - Author and review challenging mathematics problems to train and evaluate frontier AI models. - Evaluate model outputs on tasks such as proof construction, verification, problem-solving, formalization, and conjecture exploration. - Identify areas where current models fail, focusing on subtle errors like unjustified steps or misapplied hypotheses. - Collaborate with a small program team and other senior contributors to enhance model performance. Qualifications - First-author or sole-author publications in top mathematics journals. - Doctoral or postdoctoral training at a top-20 global institution for mathematics or STEM. - Competitive fellowships and honors such as Clay Research Fellowship, NSF GRFP, or Sloan Research Fellowship. - Experience as a PhD candidate, postdoc, instructor, faculty, principal researcher, or industry research mathematician. Requirements - NSF CAREER or other grants as a named PI or co-PI (preferred). - Outstanding senior PhD students and recent graduates with strong publication records (preferred). Benefits - Part-time: 8 to 20 hours per week. - Compensation reflects research seniority and credentials. - No fixed end date; contributors continue as long as the program needs their expertise. Application Process - Upload resume. - AI interview based on your resume. - Submit form. 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.

• Deliver advanced second-tier technical assistance to end users across PC, server, mainframe, storage, and associated hardware and software environments. • Serve as the primary point of contact for local server, network, and telecommunications repair activities supporting District infrastructure components. • Administer, manage, and maintain current and future Microsoft (MS) Windows Server operating systems across both physical and virtual environments. • Support hardware and software technology refresh efforts, ensuring compliance with established milestones while coordinating with application owners to minimize operational disruption. • Adhere to established change management principles and procedures on a daily basis, including drafting formal Change Requests and obtaining required approvals. • Assist with storage and data management activities, with a specific focus on file and folder permission administration. • Implement applicable DISA Security Technical Implementation Guides (STIGs) and remediate identified security vulnerabilities. • Support the operational transition of enterprise solutions into the production environment, ensuring stability and continuity of services. • Work Remedy incident and service request tickets, providing initial triage and analysis of complex issues prior to escalation or resolution.

Role Description The Fraunhofer Research Institution for Energy Infrastructures and Geotechnologies IEG conducts research at seven locations across Germany in the fields of integrated energy infrastructures, geothermal energy, and sector coupling to support a successful energy transition. Our institution performs applied research, develops innovative technologies for public and industrial clients, and transfers research results into market-ready products, processes, and solutions. Within our Competence Center for »Monitoring and Artificial Intelligence«, we develop innovative solutions for the monitoring, analysis, and optimization of energy infrastructures and geothermal systems. Our work focuses on artificial intelligence, large-scale data analytics, predictive modeling, and intelligent monitoring systems for future energy technologies. - Conducting literature reviews and evaluating state-of-the-art approaches in Machine Learning and Deep Learning - Performing data preprocessing, feature engineering, and exploratory data analysis on real-world datasets - Developing and implementing AI models, including neural networks, transformer architectures, and tree-based methods - Training, validating, and optimizing machine learning models through hyperparameter tuning and performance evaluation - Applying developed approaches to industrially relevant energy and geothermal use cases - Documenting research results and presenting findings within the project team Qualifications - Enrollment in a Master's program at a German university in Engineering, Computer Science, Mathematics, Data Science, or a related STEM discipline - Knowledge of Machine Learning and Deep Learning methods - Experience with Python and common machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn - Interest in data-driven research, predictive analytics, and AI applications for energy technologies - Strong analytical skills and a structured, independent way of working - High level of motivation and willingness to familiarize yourself with new scientific topics - Good communication skills and the ability to work collaboratively in an interdisciplinary research environment Benefits - Opportunity to contribute to cutting-edge research in the fields of Artificial Intelligence, Monitoring Technologies, Geothermal Energy, and Sustainable Energy Systems - Active involvement in real-world research projects addressing challenges of the energy transition - Close collaboration with experienced researchers and interdisciplinary teams - Freedom to contribute your own ideas and explore innovative AI approaches - Opportunity to conduct your Master’s thesis within an ongoing Fraunhofer research project - Access to modern tools, research infrastructure, and industry-relevant datasets - Flexible working hours and the possibility to work remotely within Germany - A collaborative and international research environment that encourages innovation, scientific curiosity, and continuous learning Company Description With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.