Mathematical AI Systems Engineer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. It helps contributors discover specialized projects, build a credible AI training profile, and apply through OpenTrain in minutes.

In this role, OpenTrain AI is hiring and contracting for advanced technical work at the intersection of mathematical research, software engineering, and AI system development.

• Work with cutting-edge AI training and evaluation projects
• Build a portfolio around specialized technical experience
• Create an OpenTrain account for free

About AI Training Work

AI training is the human side of building modern artificial intelligence. Contributors design examples, evaluate model behavior, review reasoning, and improve the systems that help AI models produce more accurate and reliable results.

This role focuses on agentic AI systems that can reason through complex mathematical and scientific tasks. Your work will help assess how well AI agents generate hypotheses, use tools, maintain state, and validate multi-step execution traces.

• Contribute to the development of advanced AI systems
• Work with mathematical reasoning, technical validation, and model evaluation
• Develop experience in a fast-growing AI training industry

The Role

OpenTrain is seeking a Mathematical AI Systems Engineer to design and deploy multi-step agentic workflows for advanced mathematical reasoning. This expert-level contractor assignment combines mathematical research with technical execution.

You will build reusable frameworks, tools, and memory systems for STEM-focused AI agents. The work requires production experience with agentic systems, advanced Python, LLM orchestration, and the ability to turn abstract proofs and dense academic material into modular software systems.

• Engagement type: Freelance contractor assignment
• Schedule: 40 hours per week, including four hours of overlap with Pacific Time
• Contract duration: Four weeks
• Availability: Worldwide
• Language: English
• Experience level: Expert

What You'll Do

• Design, build, and optimize multi-step agentic workflows for scientific and mathematical tasks
• Translate abstract mathematical proofs into structured technical specifications and automated pipelines
• Develop reusable orchestration frameworks, tools, and memory systems for STEM-focused agents
• Evaluate agent outputs and execution traces to improve accuracy, reliability, and validation quality
• Collaborate with mathematical researchers and convert dense academic material into modular software systems
• Assess hypothesis generation, agent accuracy, execution reliability, and trace logic across workflow steps

Required Qualifications

This role requires strong technical judgment and the ability to connect abstract mathematical reasoning with production software systems. Candidates should be comfortable designing reliable workflows that combine language models, tools, structured outputs, and state management.

• Production experience architecting and deploying multi-step agentic systems
• Advanced Python proficiency, including LLM orchestration, structured outputs, tool integration, and state management
• Ability to translate abstract mathematical proofs and dense academic material into modular software systems
• Experience building AI or machine learning applications in mathematics, physics, computer science, or quantitative finance
• Ability to evaluate agent accuracy, reliability, hypothesis generation, and execution traces
• Strong ability to reason about abstract proofs and translate them into implementable technical systems

Helpful Background

The following experience is helpful for this assignment and may support collaboration with mathematical subject-matter experts and the development of reusable agent infrastructure.

• Experience with LangGraph, AutoGen, CrewAI, or comparable custom orchestration frameworks
• PhD-level or graduate-level mathematics training
• Ability to collaborate effectively with mathematical subject-matter experts

Why Build Your AI Career With OpenTrain

AI training and data-labeling work is a flexible way to contribute to how state-of-the-art AI systems are built. Depending on the project, contributors may evaluate model responses, review technical outputs, prepare training data, or provide specialized expertise.

OpenTrain helps freelancers develop a durable AI training portfolio around their experience. A stronger profile can make it easier to demonstrate specialized work, discover relevant opportunities, and grow a long-term career in AI training.

• Find specialized AI training work in one place
• Showcase technical experience through an AI training portfolio
• Apply through OpenTrain and build toward longer-term opportunities