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# Competitive Data Scientist (Kaggle) - AI Trainer

- **Company:** 1 Micro, LLC
- **Location:** United States (Remote available)
- **Salary:** $124,800.0 - $249,600.0
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Computer Programming, Information Leak Prevention, Software Debugging, Python (Programming Language), Machine Learning, Kaggle
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9e8cda49dbd56de3

## About the Role

* Demonstrated experience in data science, machine learning, quantitative modeling, or relevant research competitions, such as Kaggle or DrivenData.
 * Strong problem-solving skills and a clear understanding of the methods you use.
 * Practical programming skills sufficient to implement and verify your own solutions.

Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench., * Strong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code.

## Description

We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitive data science experience, including participation in Kaggle, DrivenData, and similar competitions.

You'll draw on your competition experience, mathematical reasoning, and programming skills to create tasks that require more than a plausible answer. Each task should have a reproducible environment, a verified reference solution, and reliable checks for successful completion.

What You'll Own

 * Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions.
 * Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.
 * Run coding agents against tasks, investigate their failures, and refine tasks based on observed behavior.
 * Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.
 * Clearly document task requirements, solution reasoning, and verification steps.