Remote Data Scientist — Task-Based, Flexible Hours

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

Benefits offered by this job

Remote contract

Flexible schedule

Job summary

OpenTrain AI, Inc. is seeking a remote contract-based data science task designer and tester. You will create challenging data science tasks, build reproducible environments, and define robust verification criteria to test coding agents.

The role emphasizes Python-based implementation, testing, and clear documentation, with flexible hours and a remote setup. Ideal candidates have data science, ML experience, and competition-grade problem-solving skills, plus a track record with platforms like

Qualifications

• Proficient Python programming for implementing, testing, and verifying solutions
• Strong testing, debugging and verification abilities
• Good understanding of data science and ML fundamentals
• Fluent English communication and technical writing skills

Responsibilities

• Create and validate challenging data science tasks to assess coding agents.
• Build reproducible environments with data, dependencies, and execution steps.
• Implement verified reference solutions showing task expectations.
• Create tests and evaluation criteria to separate correct from flawed approaches.
• Run coding agents against tasks, investigate failures, and improve task designs.
• Find implementation errors, data leakage, and other issues affecting correctness.
• Document task requirements, solution reasoning, and verification steps clearly.

Skills

Python

Testing

Debugging

Verification

Data science

Machine learning

Quantitative modeling

English proficiency

Job description

OpenTrain AI, Inc. is seeking a remote contract-based data science task designer and tester. You will create challenging data science tasks, build reproducible environments, and define robust verification criteria to test coding agents.

The role emphasizes Python-based implementation, testing, and clear documentation, with flexible hours and a remote setup. Ideal candidates have data science, ML experience, and competition-grade problem-solving skills, plus a track record with platforms like