Academic Content Editor

Job Title: STEM Academic Copy-Editor (English; Contractual Role)

Location: Remote

Duration: Project-based, part-time or full-time hours available

About the Role

We seek experienced and detail-oriented Academic Content Annotators with academic

proficiency in English to support a high-impact AI training project. This role is ideal for

individuals with strong academic backgrounds and an eye for detail.

As part of the Scholars program, you will work with a global team of subject matter

experts to evaluate and curate educational materials and academic publications in your

field of expertise. Your work will involve assessing the quality and clarity of academic

documents and improving the structure and completeness of related content.

Key Responsibilities

You will contribute to a workflow focused on academic materials:

Identifying and correcting text and formatting issues, including correcting

mathematical formulas and typesetting scientific notation in LaTeX and markdown.

These tasks require strong academic judgment, attention to detail, and the ability to work

across multiple disciplines.

A Typical Day

Validating and correcting machine-generated text - reviewing text extracted from

PDFs for fidelity and formatting errors.

Model assessment evaluating AI-generated content.

Validating computations and code (for STEM applicants) - checking the logical

cohesion, accuracy, and notation/style of academic materials.

Quality & ethics reviews flagging bias, inaccuracies, or unsafe content.

Info syncs communicating with the team: short standups or workshops on new

project approaches giving data feedback and refining edge-case guidance.

Academic Background

We are looking for individuals with minimum BA-level experience in one or more of the

following areas (or related STEM disciplines):

STEM: Math, Physics, Chemistry, and Biology

Other Related Disciplines

Required Skills & Qualifications

Fluency in English, with C1-level reading & writing proficiency, including familiarity

with discipline-specific vocabulary, academic discourse, technical jargon,

scientific notation, and stylistic norms in English.

Experience with LaTeX, markdown, and familiarity with mathematical notation.

Self-directed learning capabilities and the ability to follow complex instructions.

High attention to detail and consistency in annotation work.

Patience with ambiguity and a gracious approach to accepting feedback.

Clear and respectful communication skills in written environments.

Comfortable working independently and meeting deadlines in a remote

environment.

Preferred Qualifications

University-level coursework at an English-language institution.

Prior experience with annotation, quality review, or AI training projects.

Experience reviewing academic content for quality, e.g., conference abstract

reviewer, journal reviewer, copy-editor, teaching assistantship.

What You'll Gain

A flexible, remote opportunity to contribute to developing advanced AI systems.

The chance to work on cutting-edge projects in Generative AI.

Membership in our Scholars community of global experts.

Application Process

To apply, please submit your resume and briefly describe your academic background,

language proficiency (English and any other languages), and any experience with

educational content or annotation work.

As part of the selection process, candidates will be asked to complete a brief online

assessment to evaluate their:

English proficiency

Attention to detail

Reading comprehension

Ability to follow technical guidelines using our annotation tools