History Expert

AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring historians as contractors to author and grade the source analysis and historical reasoning scenarios those evaluations run on.

What you'll actually do

• Author historical scenarios that test real method, from source criticism to competing causal explanations.
• Write reference answers with the evidentiary reasoning behind each interpretation, what the sources support and what they cannot.
• Grade model output for factual accuracy, context, and historiographical awareness.
• Flag narratives that read confident but flatten evidence, invent causation, or project the present onto the past.

Who this is for

• Historians with an advanced degree and at least two years of teaching, research, archival, or published work.
• Specialists in any period or region, with real primary source experience behind the specialty.
• Scholars who can weigh conflicting sources and say plainly what the evidence does and does not establish.
• Writers whose prose carries argument, not just chronology.

Contract and pay

• $50 to $100/hr, paid weekly via Stripe. Your rate is set from your experience, not negotiated down after you start.
• Fully remote, fully async. No fixed hours.
• Minimum 10 hours per week, no maximum. Scale up or down week to week.
• No screen recording, no keystroke monitoring, no idle timers.
• Independent contractor. Ongoing project work rather than single task batches.

How our hiring process works

1. Apply at /apply/history-expert. About five minutes. Resume plus a few structured questions.
2. Resume review. Every application gets read against a published rubric and gets a decision.
3. Written assessment. You may be asked to take a written assessment for further placement.
4. Onboarding. Sign the contractor agreement, connect Stripe, and get platform access.
5. Project match. You're matched to live work in your specialty, usually within a week of onboarding.

About AfterQuery

AfterQuery is an expert data lab. We build the evaluation and training data that frontier AI labs use to measure what their models can and can't do in real professional work. Our contributors are practicing professionals, not annotators, and the work is credited, reviewed, and paid at professional rates.

Responsibilities

• Author historical scenarios that test source analysis and causal reasoning
• Write reference answers with the evidentiary reasoning behind each interpretation
• Grade model output for factual accuracy, context, and historiographical awareness
• Flag narratives that read confident but flatten evidence or invent causation

Requirements

• Advanced degree in history or a closely related field
• 2+ years of teaching, research, archival, or published historical work
• Depth in a period or region with real primary source experience
• Clear written English for documenting historical reasoning
• Able to commit at least 10 hours per week

Preferred Qualifications

• PhD and peer reviewed publications
• Archival research or public history experience
• Reading knowledge of relevant research languages

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 handles the past