ML/AI Systems Engineer

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

OpenTrain AI, Inc. seeks a remote contractor to design and deploy multi-step agent workflows for evaluating LLMs and building training datasets. The role focuses on software engineering tasks and advanced mathematical reasoning problems, turning proofs into automated pipelines.

You will implement reusable tools, frameworks, and memory systems for STEM-focused AI agents, evaluate performance, and improve reliability across execution steps. This is a short-term engagement with flexible hours.

Qualifications

• Entry level
• Proven experience architecting production-grade, multi-step agent systems
• Strong Python and numerical computing background

Responsibilities

• Design and deploy multi-step agent workflows for evaluating LLMs
• Build training datasets and convert proofs into automated pipelines
• Create reusable tools, frameworks, and memory systems for STEM AI agents
• Evaluate agent performance and improve accuracy, reliability and traceability
• Support development of verifiable software tasks from public histories and datasets

Skills

Python

AI systems

Multi-step orchestration

LLM orchestration

Tools

LangGraph

AutoGen

CrewAI

Job description

Build and evaluate multi-step AI agent systems for software engineering and advanced mathematical reasoning datasets. This fully remote, one-month contractor role pays $30 per approved task and is open in nine countries.

$30/label

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 27, 2026

Posted

Open to applicants in

The work

You will design and deploy multi-step agent workflows used to evaluate large language models and build training datasets. The work focuses on realistic software engineering tasks and advanced mathematical reasoning problems.

You will connect mathematical research with practical software systems by turning proofs and scientific workflows into structured, testable pipelines.

• Build workflows for multi-step reasoning, hypothesis generation, and technical validation.
• Turn abstract mathematical proofs into technical specifications and automated pipelines.
• Create reusable tools, frameworks, and memory systems for STEM-focused AI agents.
• Evaluate agent performance and improve accuracy, reliability, and traceability across execution steps.
• Help develop verifiable software engineering tasks from public repository histories and human-reviewed datasets.

What it pays and takes

This is a remote contractor assignment marked as entry level. The work requires strong technical experience with AI systems, Python, and multi-step agent orchestration.

• Pay: $30 per approved task.
• Contract: One month.
• Schedule: At least 4 hours per day and 40 hours per week, including 4 hours of overlap with Pacific Standard Time.
• Location: Open to contractors in India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, and Mexico.
• Language: Fluency in English.
• Experience: Proven experience architecting and deploying production-grade, multi-step agent systems.
• Technical skills: Advanced Python, large language model orchestration, structured output generation, tool integration, and state management.
• Frameworks: Experience with LangGraph, AutoGen, CrewAI, or custom orchestration systems.
• Useful background: Building AI or machine-learning applications in mathematics, physics, computer science, or quantitative finance.
• Communication: Ability to turn dense academic material into modular software systems and work with mathematical researchers.

About AI training work

AI training work is the human side of building artificial intelligence. People prepare and review examples, test model outputs, and create software or reasoning tasks that help AI systems become more accurate and reliable.

People with strong technical or subject knowledge are paid for work that requires careful judgment, such as evaluating code, checking mathematical reasoning, and designing reliable model tests.

Requirements

• Experience: Entry level

Review and validate machine learning engineering tasks involving Python, models, numerical computing, and system performance. This remote contractor role offers $60 to $120 per hour equivalent, paid per task that meets the project specifications, with about 15 flexible hours per week.

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