Remote AI Trainer & Computational Science Consultant

LinkedIn; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

LinkedIn is seeking skilled Computational Science Experts to join as project consultants in its AI Labor Marketplace. Work is part-time, contract-based, remote for U.S.-based experts. You will design terminal-based scientific tasks, build Docker environments, and create verification tests to evaluate advanced AI systems. Candidates have 5+ years hands-on experience or a PhD/MS and strong programming ability. Docker and GitHub experience required.

Qualifications

• 5+ years of hands-on experience or advanced research specialization, such as a relevant PhD or MS with substantial computational work.
• Deep expertise in at least one scientific field (chemistry, biology/genomics, physics, mathematics, robotics, linguistics, or Earth sciences).
• Strong hands-on programming ability and ability to independently implement problems they design.
• Experience using code to perform substantive scientific or mathematical work (computational modeling, simulation, genomics, or research software development).
• Strong debugging and automated testing ability.
• Experience with Git and GitHub workflows.
• Experience building or working with Docker-based environments.
• Familiarity with automated build and test workflows.
• Ability to turn domain-specific scientific requirements into objective, machine-verifiable success criteria.

Responsibilities

• Design technically difficult but fair computational problems grounded in their scientific specialty.
• Translate scientific requirements into precise, self-contained task specifications.
• Build reproducible, containerized task environments using Docker.
• Implement a complete reference solution using appropriate scientific programming languages and libraries.
• Create hidden automated tests or verifiers that evaluate scientific and computational correctness.
• Account for edge cases, numerical behavior, constraints, and plausible but incorrect approaches.
• Reason adversarially about how an AI agent might produce an output that appears valid without solving the underlying problem.
• Validate that the reference solution passes evaluation while the baseline environment does not.

Skills

Programming

Scientific reasoning

Automated testing

Problem design

Education

PhD or MS with substantial computational work

Tools

Docker

Git

Job description

LinkedIn is seeking skilled Computational Science Experts to join as project consultants in its AI Labor Marketplace. Work is part-time, contract-based, remote for U.S.-based experts. You will design terminal-based scientific tasks, build Docker environments, and create verification tests to evaluate advanced AI systems. Candidates have 5+ years hands-on experience or a PhD/MS and strong programming ability. Docker and GitHub experience required.