Statistics & Python Expert - Freelance AI Trainer
Contributors design original computational statistics problems simulating real mathematical research workflows, create problems requiring Python programming solutions using libraries such as Numpy, SciPy, and Sympy, ensure problems are computationally intensive and not solvable manually within reasonable timeframes, develop problems needing non-trivial reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis, base problems on real research challenges or practical applications, verify solutions with Python and standard mathematical libraries, and document problem statements clearly with verified correct answers.
Parcel Contract Intelligence Consultant
Ship critical infrastructure by managing real-world logistics and financial data for the largest enterprise in the world. Own the why by building deep context through customer calls and understanding Loop’s value to customers, pushing back on requirements if a better, faster solution exists. Work across system boundaries with full-stack proficiency, including frontend UX, LLM agents, database schema, and event infrastructures. Leverage AI tools to automate boilerplate work, focusing on quality, architecture, and product taste. Constantly optimize development loops, refactor legacy patterns, automate workflows, and fix broken processes to raise the velocity bar.
Mathematics & Python Expert - Freelance AI Trainer
Contributors may design original computational mathematics problems that simulate real mathematical research workflows, create problems requiring Python programming to solve (using Numpy, SciPy, Sympy), ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks), develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis, base problems on real research challenges or practical applications from mathematical practice, verify solutions using Python with standard mathematical libraries, and document problem statements clearly while providing verified correct answers.
Member of Technical Staff (Data): World Models
Design, automate, maintain, and optimize Python ETL pipelines (Spark/Ray) for large-scale multimodal data. Build and maintain data cataloging, lineage, quality tooling, integrity verification, access controls, and lifecycle management systems. Provide guidance, internal tools, and documentation to colleagues on data best practices. Serve as a custodian of the company’s datasets, ensuring overall data health, quality, and discoverability.
Statistics & Python Expert - Freelance AI Trainer
Contributors may design original computational statistics problems that simulate real mathematical research workflows; create problems requiring Python programming to solve using Numpy, SciPy, Sympy; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes; develop problems requiring non-trivial reasoning chains in areas such as number theory, combinatorics, graph theory, and numerical analysis; base problems on real research challenges or practical applications from mathematical practice; verify solutions using Python with standard mathematical libraries; document problem statements clearly and provide verified correct answers.
Full Stack Engineer - AI-Driven Development
The Full Stack Engineer is responsible for configuring and developing "skills" for foundation models like Claude and Gemini to automate content generation, marketing flows, and business processes; developing and scaling applications within the JavaScript/TypeScript ecosystem primarily using React and integrating AI agents and automation; creating automated content generation systems for platforms such as Substack, blogs, social media, and personalized email marketing; designing and implementing sophisticated automations using platforms like Make.com or n8n to bridge data between systems such as updating records in EHR tools like Cerbo; managing PostgreSQL databases (Neon/AWS) and handling deployments within a Linux/Bash-heavy environment; helping to implement and refine voice AI solutions for call overflows and appointment scheduling including GoHighLevel integrations; managing and deploying applications on AWS (EC2) with a focus on security and HIPAA compliance; configuring and implementing AI skills across various foundation models; collaborating with AI automation experts to design scalable, efficient solutions; and establishing coding standards and best practices for AI-driven development.
Freelance Junior Journalist - AI Trainer
As an AI Trainer - Junior Journalist, the role involves training AI models to improve their understanding and generation of human-like text. Tasks include crafting original, clear, and fact-checked responses based on project guidelines, generating prompts that challenge AI, defining comprehensive scoring criteria to evaluate the accuracy of the AI’s answers, and following style and quality standards to ensure consistency.
Energy Systems Engineer - Freelance AI Trainer
Contributors may design rigorous energy engineering problems reflecting professional practice; evaluate AI solutions for correctness, assumptions, and constraints; validate calculations or simulations using Python (NumPy, Pandas, SciPy); improve AI reasoning to align with industry-standard logic; and apply structured scoring criteria to multi-step problems.
Electrical Engineer & Python Expert - Freelance AI Trainer
Contributors may design rigorous electrical engineering problems reflecting professional practice; evaluate AI solutions for correctness, assumptions, and constraints; validate calculations or simulations using Python (NumPy, Pandas, SciPy); improve AI reasoning to align with industry-standard logic; and apply structured scoring criteria to multi-step problems.
Electrical Engineer & Python Expert - Freelance AI Trainer
This opportunity involves designing rigorous electrical engineering problems reflecting professional practice, evaluating AI solutions for correctness, assumptions, and constraints, validating calculations or simulations using Python (NumPy, Pandas, SciPy), improving AI reasoning to align with industry-standard logic, and applying structured scoring criteria to multi-step problems.
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