Language Data and Editorial Quality Intern

ACS • Washington, DC

1d • Hybrid

About The Position

​​C&EN (Chemical & Engineering News) produces authoritative, award-winning journalism from around the world of chemistry, including research, education, industry, funding, and regulatory policy. It is published by, but editorially independent of, the ACS. Its weekly magazine reaches more than 170,000 members of ACS, and its website receives more than 7 million page views per year. Position Summary: ​​The Language Data and Editorial Quality Intern will help improve the accuracy, consistency, and editorial judgment of C&EN’s AI copyediting model. Working closely with editors, the senior copyeditor, and service provider, the incumbent will evaluate model outputs, annotate language errors, and refine guidelines that shape model behavior. In addition, the intern will be expected to contribute directly to workflows that support scalable, high-quality science journalism. The ideal candidate will bring strong copyediting skills, experience with structured data, attention to detail, and ideally a background in science journalism. ​ ​​ ​​​

Requirements

• Currently pursuing a major in Journalism, English Secondary: Library and Information Science, Chemistry

Responsibilities

• Review and evaluate AI-suggested copyediting changes for grammar, clarity, tone, and adherence to C&EN style
• Annotate and categorize language errors using required tools
• Assist in refining editorial guidelines, copyediting standards, and style rules used for model training
• Escalate ambiguous language cases to senior copyeditor and contribute to quality alignment discussions with editors and service provider
• Support dataset development by validating and cleaning training input and outputs
• Track and document recurring error patterns to inform model and workflow improvements
• Collaborate with editorial, production, and data teams on experiments to improve copyediting automation

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Number of Employees: 1,001-5,000 employees