Literature Expert

About the role

<p>Literary scholars to build the close reading and interpretation scenarios frontier AI labs use to test model judgment.</p>

<p>AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring literary scholars as contractors to author and grade the close reading and interpretation scenarios those evaluations run on.</p>

<p><strong>What you'll actually do</strong></p>

<ul>

<li>Author literary scenarios that test real reading, from passage analysis to questions of form, voice, and tradition.</li>

<li>Write reference readings with the textual evidence behind each claim, what the language does and how.</li>

<li>Grade model output for textual fidelity, interpretive depth, and awareness of craft.</li>

<li>Flag readings that sound sophisticated but ignore what the text actually says, the misses only a trained reader would catch.</li>

Why apply

• Work stays in your specialty, judged on rigor rather than output volume
• Set your own hours and scale up or down week to week
• Weekly pay via Stripe at a rate set from your experience
• Your judgment shapes how the next generation of AI reads and writes

Responsibilities

• Author literary scenarios that test close reading and interpretation
• Write reference readings with the textual evidence behind each claim
• Grade model output for textual fidelity, interpretive depth, and craft awareness
• Flag readings that sound sophisticated but ignore what the text actually says

Required qualifications

• Advanced degree in literature, English, comparative literature, or a closely related field
• 2+ years of teaching, research, editorial, or published literary work
• Close reading depth across periods, genres, or traditions
• Clear written English for documenting interpretive reasoning
• Able to commit at least 10 hours per week

Preferred qualifications

• PhD and peer reviewed publications
• Editorial or creative writing craft experience
• Reading knowledge of literatures beyond English