AfterQueryDomain experts
Litigation Attorney Expert
$150/hr
About this role, in AfterQuery's words
Litigators to build the motions, discovery, and procedural reasoning scenarios frontier AI labs use to test model judgment.
What you'll do
Responsibilities
- Author realistic litigation scenarios from complaint through dispositive motions
- Write reference answers with the procedural and strategic reasoning behind each judgment
- Grade model output on motions, discovery strategy, and case assessments
- Flag arguments that read persuasive but would fail on procedure or precedent
Candidate background
Who this is for
- Attorneys with a JD, active bar admission, and at least two years of litigation practice at a firm, in government, or in house.
- Litigators who have owned real motion practice, discovery, and case strategy, not just document review.
- Practitioners who can explain why an argument wins procedurally, not just that it sounds right.
- People with strong written English who can turn litigation judgment into clear, teachable reasoning.
Required qualifications
- JD and active bar admission in a US jurisdiction
- 2+ years of litigation practice at a firm, government, or in house
- Hands on motion practice, discovery, and procedural strategy
- Clear written English for documenting legal reasoning
- Able to commit at least 10 hours per week
Preferred qualifications
- First chair or significant second chair trial experience
- Federal court or complex commercial litigation background
- Clerkship or appellate practice experience
Quoted from selected sections of AfterQuery's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in AfterQuery's words
Posted by AfterQuery, reproduced here so you can judge the role before clicking. Original posting ↗
Litigators to build the motions, discovery, and procedural reasoning scenarios frontier AI labs use to test model judgment.
AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring litigators as contractors to author and grade the dispute scenarios those evaluations run on.
What you'll actually do
• Author realistic litigation scenarios from complaint through dispositive motions, the kind a practicing litigator actually works.
• Write reference answers with the procedural and strategic reasoning behind each judgment, from venue and joinder to discovery scope.
• Grade model output on motions, discovery strategy, case assessments, and settlement postures.
• Flag arguments that read persuasive but would fail on procedure or precedent, the misses only a practitioner would catch.
Who this is for
• Attorneys with a JD, active bar admission, and at least two years of litigation practice at a firm, in government, or in house.
• Litigators who have owned real motion practice, discovery, and case strategy, not just document review.
• Practitioners who can explain why an argument wins procedurally, not just that it sounds right.
• People with strong written English who can turn litigation judgment into clear, teachable reasoning.
Contract and pay
• $100 to $200/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
• Apply at /apply/litigation-attorney-expert. About five minutes. Resume plus a few structured questions.
• Resume review. Every application gets read against a published rubric and gets a decision.
• Written assessment. You may be asked to take a written assessment for further placement.
• Onboarding. Sign the contractor agreement, connect Stripe, and get platform access.
• 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 realistic litigation scenarios from complaint through dispositive motions - Write reference answers with the procedural and strategic reasoning behind each judgment - Grade model output on motions, discovery strategy, and case assessments - Flag arguments that read persuasive but would fail on procedure or precedent
Required qualifications - JD and active bar admission in a US jurisdiction - 2+ years of litigation practice at a firm, government, or in house - Hands on motion practice, discovery, and procedural strategy - Clear written English for documenting legal reasoning - Able to commit at least 10 hours per week
Preferred qualifications - First chair or significant second chair trial experience - Federal court or complex commercial litigation background - Clerkship or appellate practice experience
Why apply - Work stays in your specialty, judged on legal judgment rather than billable 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 litigation
Working with AfterQueryPay, getting started and work, from AfterQuery's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Approved work is paid every Friday for the prior week, by Stripe to a bank account, with no fees. Stripe holds the first payout for 7 days. docs.afterquery.com/articles/payments-taxes/payment-setup
- Before your first paid task
- One assessment per expert pool, unpaid and with no retake. Onboarding takes about 10 minutes: legal documents, phone, ID through Persona, and payments. docs.afterquery.com/articles/onboarding/assessments, docs.afterquery.com/articles/onboarding/complete-your-onb...
- How much work
- Projects are assigned by assessment fit as they come up, and higher-rated contributors get priority. docs.afterquery.com/articles/onboarding/assessments, docs.afterquery.com/articles/about/contract-work
- Contract
- Independent contractor. Most contractors register as individuals. docs.afterquery.com/articles/about/contract-work, docs.afterquery.com/articles/onboarding/complete-your-onb...
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Domain experts roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from AfterQuery's posting. How we count.
Pay across the field: Domain experts
Across 751 roles in this field with a stated hourly rate in US dollars, on 21 platforms, the middle half pays $63 to $125 an hour at the top of the range, and the median is $100. This role's top rate, $150, is in the top quarter. Of the 268 distinct rates we count, 217 are lower and 35 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| micro1 | 155 | $12 to $400 · median $110 |
| Alignerr | 148 | $24 to $200 · median $80 |
| AfterQuery (this platform) | 92 | $45 to $175 · median $100 |
| Mercor | 90 | $55 to $450 · median $120 |
| Handshake AI | 81 | $30 to $300 · median $80 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 28 Aug 2026, and still on AfterQuery's list when we last read it on 24 Oct 2026.
- Listed pay changed on 29 Sep 2026: up to $200/hr before, $150/hr after.
A change can also be a correction to how we read AfterQuery's feed. The figure at the top of this page is always the latest read.
- Posted by AfterQuery
- First seen by AIPayList
- Last seen live
- Listing ID
- 1787871215394
Pay as the source states it: “$150/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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