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 libraries such as Numpy, SciPy, and Sympy; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes; develop problems requiring 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 using Python with standard mathematical libraries; and document problem statements clearly while providing verified correct answers.
AI Product Manager
As an AI Product Manager at Air Apps, you will define and drive the AI product roadmap ensuring alignment with business objectives and user needs. You will collaborate with cross-functional teams including engineering, design, and marketing to develop and launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. Stay up to date with AI trends, emerging technologies, and best practices to ensure products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations.
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.
Chemistry & Python Expert - Freelance AI Trainer
Contributors design original computational chemistry problems that simulate real chemistry research workflows and create problems requiring Python programming to solve using numpy, scipy, and chemical libraries. They ensure these problems are computationally intensive, involving non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling. Problems are based on real research challenges or practical applications from chemistry practice. Contributors verify solutions using Python with standard computational chemistry approaches and document problem statements clearly with verified correct answers.
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.
Freelance Mathematics Expert - AI Trainer
Contributors may design rigorous mathematics problems reflecting professional practice; evaluate AI solutions for correctness, assumptions, and constraints; improve AI reasoning to align with industry-standard logic; and apply structured scoring criteria to multi-step problems.
AI Workflow Engineer - Freelance AI Trainer
Design and evaluate workflows integrating LLM APIs (OpenAI, Claude, Gemini or similar). Build and optimize AI-powered automation systems for content generation, enrichment, and communication. Develop and refine prompt frameworks for consistent, high-quality outputs across workflows. Create systems for personalized automated outreach (email, messaging flows, lead enrichment). Structure and preprocess data to ensure stable model behavior and reliable outputs. Analyze and improve AI-driven pipelines for scalability, efficiency, and accuracy.
Optical Engineer - Freelance AI Trainer
Design original optics problems that simulate real physics research workflows; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; base problems on real research challenges or practical applications from optics and physics practice; document problem statements clearly and provide verified correct answers.
Senior Security Operations Engineer
The Senior Security Operations Engineer is responsible for defining the internal AI roadmap in partnership with Security, Legal, and business leaders. They operate the enterprise AI stack, including LLMs, vector databases, and gateways, and enforce consistent patterns for tool calling, prompt versioning, state management, and error handling to prevent fragmented agent implementations. They manage the full model lifecycle from evaluation and testing to upgrades and deprecations. The role includes proactively interviewing internal teams to identify manual workflows for automation through agentic AI, building and deploying proofs of concept independently to demonstrate ROI before scaling, owning the token procurement process, and building forecasting and chargeback models to prevent uncontrolled spending. They also build dashboards to monitor SLAs/SLOs and usage metrics, and identify opportunities for cost-saving and performance tuning.
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.
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