AI Trainer - Materials Science Specialists (Remote - Boston)

Role overview

This remote advisory role calls on Materials Science specialists to help validate AI-generated outputs against real scientific literature. The work centres on auditing graphical abstracts produced by a large language model and flagging any divergence from the source papers. Joining the expert talent pool does not guarantee project work, which is allocated based on demand and fit.

Responsibilities

• Read assigned materials science papers and their corresponding LLM-generated graphical abstracts.
• Detect inaccuracies, omissions, or distortions in the abstracts relative to the paper.
• Use subject-matter expertise to evaluate whether key findings and methods are faithfully conveyed.
• Deliver structured feedback that supports improvement of advanced AI models.
• Work through paid assignments, with durations ranging from brief to about an hour of focused effort.

Requirements

• Master's degree or higher in Materials Science or an adjacent discipline.
• Substantive expertise in materials science research and scholarly communication.
• Hands-on experience with fact-checking, peer review, or AI data labelling.
• A verifiable professional footprint, such as a LinkedIn profile documenting your background.
• Meticulous attention to detail and the ability to sustain concentration on dense material.
• Dependable internet connection and a computer suitable for remote task work.

Benefits and work setup

• Remote role for applicants in the Boston region.
• Standard researcher pay starts at $40+/hour.
• Flexible scheduling with tasks tailored to expert availability.