AfterQueryMultilingual & translation
Linguistics Expert
$75/hr
About this role, in AfterQuery's words
Linguists to build the language analysis scenarios frontier AI labs use to test model judgment on syntax, semantics, and phonology.
What you'll do
Responsibilities
- Author linguistic scenarios that test analysis across syntax, semantics, and phonology
- Write reference analyses with the argumentation behind each judgment
- Grade model output for analytical accuracy and data handling
- Flag analyses that read plausible but misparse the data or mislabel the phenomenon
Candidate background
Who this is for
- Linguists with an advanced degree and at least two years of research, teaching, or applied work.
- Specialists in any subfield, syntax, semantics, phonology, morphology, sociolinguistics, psycholinguistics, and beyond.
- Analysts who reason from data to generalization and can say what would falsify their own account.
- People with strong written English who can make technical analysis clear without flattening it.
Required qualifications
- Advanced degree in linguistics or a closely related field
- 2+ years of research, teaching, or applied linguistics work
- Depth in a subfield such as syntax, semantics, phonology, or sociolinguistics
- Clear written English for documenting linguistic analysis
- Able to commit at least 10 hours per week
Preferred qualifications
- PhD and peer reviewed publications
- Computational linguistics or corpus methods experience
- Fieldwork or documentation of understudied languages
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 ↗
Linguists to build the language analysis scenarios frontier AI labs use to test model judgment on syntax, semantics, and phonology.
AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring linguists as contractors to author and grade the language analysis scenarios those evaluations run on. Models are made of language, and linguists are unusually well placed to find where their command of it breaks.
What you'll actually do
• Author linguistic scenarios that test real analysis, from syntactic ambiguity to semantic entailment to phonological pattern.
• Write reference analyses with the argumentation behind each judgment, the data, the generalization, the exceptions.
• Grade model output for analytical accuracy and honest handling of the data.
• Flag analyses that read plausible but misparse the sentence or mislabel the phenomenon.
Who this is for
• Linguists with an advanced degree and at least two years of research, teaching, or applied work.
• Specialists in any subfield, syntax, semantics, phonology, morphology, sociolinguistics, psycholinguistics, and beyond.
• Analysts who reason from data to generalization and can say what would falsify their own account.
• People with strong written English who can make technical analysis clear without flattening it.
Contract and pay
• $50 to $100/hr , paid weekly via Stripe. Your rate is set from your experience, not negotiated down after you start.
• Remote and async: 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/linguistics-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 linguistic scenarios that test analysis across syntax, semantics, and phonology - Write reference analyses with the argumentation behind each judgment - Grade model output for analytical accuracy and data handling - Flag analyses that read plausible but misparse the data or mislabel the phenomenon
Required qualifications - Advanced degree in linguistics or a closely related field - 2+ years of research, teaching, or applied linguistics work - Depth in a subfield such as syntax, semantics, phonology, or sociolinguistics - Clear written English for documenting linguistic analysis - Able to commit at least 10 hours per week
Preferred qualifications - PhD and peer reviewed publications - Computational linguistics or corpus methods experience - Fieldwork or documentation of understudied 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 language itself
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 Multilingual & translation 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: Multilingual & translation
Across 619 roles in this field with a stated hourly rate in US dollars, on 16 platforms, the middle half pays $20 to $55 an hour at the top of the range, and the median is $35. This role's top rate, $75, is in the top quarter. Of the 82 distinct rates we count, 69 are lower and 11 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Meridial (Invisible) | 310 | $20 to $65 |
| SME Careers | 64 | $15 to $60 · median $35 |
| RWS TrainAI | 46 | $10 to $36.45 · median $22 |
| Alignerr | 43 | $20 to $120 · median $80 |
| DataAnnotation | 40 | $40 |
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 $100/hr before, $75/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
- 1787873802551
Pay as the source states it: “$75/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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