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Remote Ai Math Training Jobs in Ohio (NOW HIRING)

Maximus

AI/ML Software Developer

Cleveland, OH · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... training, and evaluating machine learning models using industry-standard frameworks (e.g ...

Maximus

AI/ML Software Developer

Bowling Green, OH · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... training, and evaluating machine learning models using industry-standard frameworks (e.g ...

Maximus

AI/ML Software Developer

Columbus, OH · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... training, and evaluating machine learning models using industry-standard frameworks (e.g ...

Maximus

AI/ML Software Developer

Toledo, OH · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... training, and evaluating machine learning models using industry-standard frameworks (e.g ...

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Remote Ai Math Training information

What are the key skills and qualifications needed to thrive as a Remote AI Math Trainer, and why are they important?

To thrive as a Remote AI Math Trainer, you need a strong background in mathematics, experience with machine learning concepts, and at least a bachelor’s degree in a related field. Familiarity with programming languages like Python, data annotation tools, and platforms such as TensorFlow or PyTorch is typically required. Excellent communication, attention to detail, and the ability to work independently are crucial soft skills in this remote setting. These competencies ensure accurate training data, effective collaboration with AI development teams, and the delivery of high-quality AI models.

What are the main challenges faced by professionals working in remote AI math training roles, and how can they be overcome?

Professionals in remote AI math training often face challenges such as maintaining student engagement through virtual platforms, adapting teaching methods to suit diverse learning styles, and troubleshooting technical issues. To overcome these, it's important to utilize interactive tools, provide personalized feedback, and establish clear communication channels. Regular collaboration with fellow trainers and staying updated on the latest e-learning technologies can also help enhance the remote teaching experience and effectiveness.

What is a Remote AI Math Trainer?

A Remote AI Math Trainer is a professional who helps train and improve artificial intelligence (AI) models focused on mathematics by providing annotated data, creating math problems, analyzing AI outputs, and offering feedback—all from a remote location. This role often involves reviewing and correcting AI-generated math solutions to ensure accuracy and clarity. Remote AI Math Trainers may also contribute to developing educational tools and resources powered by AI, supporting advances in math learning technologies. The position is suitable for individuals with a strong foundation in mathematics and an interest in AI or machine learning.

What is the difference between Remote Ai Math Training vs Remote Math Tutor?

AspectRemote Ai Math TrainingRemote Math Tutor
CredentialsTypically requires knowledge of AI, machine learning, and mathUsually requires teaching credentials or math expertise
Work EnvironmentOnline, often involving AI platforms and toolsOnline or in-person, focusing on individual or group tutoring
Employer & IndustryEdTech companies, AI training platformsEducational institutions, private tutoring services
Search & Comparison IntentUnderstanding AI-focused math training rolesFinding traditional math tutoring opportunities

Remote Ai Math Training involves teaching math concepts integrated with AI tools and requires knowledge of AI and machine learning. In contrast, Remote Math Tutors focus on traditional math instruction, often requiring teaching credentials. Both roles are primarily online and serve educational purposes, but they differ in technical complexity and industry focus.

What are the most commonly searched types of Ai Math Training jobs in Ohio? The most popular types of Ai Math Training jobs in Ohio are:
What are popular job titles related to Remote Ai Math Training jobs in Ohio? For Remote Ai Math Training jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Ai Math Training jobs in Ohio look for? The top searched job categories for Remote Ai Math Training jobs in Ohio are:
What cities in Ohio are hiring for Remote Ai Math Training jobs? Cities in Ohio with the most Remote Ai Math Training job openings:
Remote Ai Math Training jobs near you
Lead Agentic AI Engineer-US Remote - US-OH,Columbus

Lead Agentic AI Engineer-US Remote - US-OH,Columbus

Hexion, Inc.

Columbus, OH • On-site, Remote

$99K - $130.40K/yr

Full-time

Posted 7 days ago

Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Job Responsibilities
  • Serve as the engineering lead for Agentic AI delivery across Supply Planning and Manufacturing - owning the design, development, and deployment of production-grade AI agent solutions.
  • Architect and build multi-agent AI systems using Azure AI Agent Service, AutoGen, Semantic Kernel, and/or LangChain/LangGraph - including orchestrator-executor patterns, tool calling, memory management, and agent coordination.
  • Implement the MCP to surface enterprise data as structured context for AI agents operating in supply chain and manufacturing workflows.
  • Build and deploy generative AI solutions on Azure AI Foundry - RAG-based knowledge agents, decision support for forecasting and capacity planning, and document intelligence for maintenance work orders and recipes.
  • Design and deliver AI copilots and topic-based agents using Microsoft Copilot Studio - enabling Supply Planning and Manufacturing teams to access insights and take action directly from Teams and Outlook.
  • Act as the AI delivery owner for agentic use cases - scoping business problems with stakeholders, defining agent capabilities and tool surfaces, prioritizing the roadmap, and driving adoption.
  • Apply emerging agentic AI patterns - including ReAct, Plan-and-Execute, reflection, and human-in-the-loop - for supply chain and operational use cases.
  • Partner with Supply Chain leadership, Demand Planning, Process Engineering, Maintenance Ops, and Plant teams to identify, scope, and deliver AI use cases that influence operational decisions.
  • Define and maintain AI agent governance - prompt versioning, tool auditing, evaluation frameworks, observability, and safety guardrails for production deployments.
  • Develop on Azure Databricks - PySpark and SQL against gold/platinum Delta tables, notebooks for transformation and feature work, and orchestration via Workflows.
  • Build and maintain Power BI reports and semantic models that serve as grounding data for AI agents and executive dashboards across Supply Planning and Manufacturing.
  • Own Supply Chain AI metrics alignment cadence - keeping priorities, status, and roadblocks visible to Supply Chain and Manufacturing leadership.
  • Mentor analysts and engineers on agentic AI design patterns, MCP, and AI delivery best practices.

Minimum Qualifications
Education & Experience (one of the following):
  • Master's degree in Mathematics, Computer Science, Data Science, Information Systems, Engineering, or a related field with 5+ years of relevant analytics / AI experience, OR
  • Bachelor's degree in Chemical, Industrial, Computer Science, or related fields with 8+ years of relevant analytics / AI experience.

Technical:
  • Hands-on experience with the MCP - building or consuming MCP servers/clients; ability to expose enterprise data sources (databases, APIs, SharePoint, ERP) as MCP tools for AI agents.
  • Hands-on experience with multi-agent system design - designing and implementing multi-agent architectures; orchestrator-executor patterns, tool calling, memory management, and agent coordination using AutoGen, Semantic Kernel, LangChain/LangGraph, or Azure AI Agent Service.
  • Strong Python engineering skills - building production-grade AI agents and pipelines, including REST API integration, prompt versioning, evaluation frameworks, and observability for LLM-based systems.
  • Compulsory - must have hands-on experience with two or more of the following:
  • Azure AI Foundry (RAG pipelines, prompt flows, agent service)
  • Microsoft Copilot Studio (agents, topics, actions, Power Automate integration)
  • Microsoft 365 Copilot extensibility (plugins, connectors, Graph APIs)
  • Microsoft Power BI (DAX, semantic modeling, performance tuning)
  • Strong proficiency in Databricks (Python, SQL, Delta Lake, PySpark, notebooks).
  • Strong functional understanding of Supply Planning (S&OP, demand/supply planning, inventory, order management) and/or Manufacturing (plant maintenance, capacity planning, OEE).
  • Experience with SAP ECC / S/4HANA supply chain and manufacturing modules (MM, PP, SD, PM).
  • Ability to translate business problems into agentic AI solutions and communicate clearly to technical and executive audiences.
  • Strong collaboration and stakeholder management skills in cross-functional environments.

Preferred Qualifications
  • Experience deploying AI agents in production - evaluation frameworks, safety guardrails, logging, and human-in-the-loop workflows.
  • Familiarity with agentic design patterns (ReAct, Plan-and-Execute, reflection, structured tool outputs).
  • Familiarity with knowledge graphs or graph databases (e.g., Neo4j) for agent reasoning and grounding.
  • Strong Power BI experience - semantic modeling, performance optimization, executive dashboard design.
  • Experience in chemicals, manufacturing, or process industries.
  • Experience with Palantir Foundry (pipelines, ontology, Workshop, AIP).
  • Exposure to MLOps on Azure (Azure ML, MLflow, Databricks Asset Bundles, CI/CD for analytics).
  • Experience designing operational KPI frameworks (MAPE, OTIF, service level, OEE, downtime).
  • Experience with containerization (Docker), version control (Git), and modern software engineering practices.

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

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