Linguistics Expert - Remote Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires experienced linguists and computational linguists for flexible, part-time contract projects that improve how AI models handle language. You bring hands-on work in linguistic analysis, corpus methods, or NLP tooling to judge AI-generated answers and write feedback that reflects how a working linguist reasons. Assignments run on an ongoing, project basis, so you can add them alongside another role. There is no fixed schedule and no minimum hour target. The fellowship pays $75 per hour and requires US work authorization.
What You'll Do5
- 1Design expert-level linguistics problems and scenarios that mirror real analytical, corpus, and computational workflows.
- 2Assess AI responses for technical accuracy, analytical depth, and fit with established linguistic practice.
- 3Write structured feedback that points out errors, gaps, and reasoning flaws in model outputs.
- 4Apply your specialization in morphology, syntax, phonology, corpus methods, or phonetics to guide model evaluation.
- 5Set your own hours and complete assignments at a pace that works with your other commitments.
Requirements10
- 1PhD or MS in Linguistics or Computational Linguistics.
- 2Research record with publications and proven expertise in a language or linguistic phenomenon that AI models struggle with.
- 3Depth in at least one sub-domain: morphology, syntax, or phonology with formal grammars; corpus methods and low-resource languages; or phonetics using Praat and IPA along with computational/NLP tools.
- 4Meet at least two of the three core qualifications above if you do not meet all three.
- 5US work authorization.
- 6Clear written communication and close attention to detail.
- 7Ability to explain complex linguistic concepts in plain terms.
- 8Comfort working on your own in a remote, asynchronous setting.
- 9Bonus: skill with computational/NLP tooling and corpus analysis software.
- 10Bonus: experience with low-resource or typologically diverse languages.
Who Should Apply
The strongest applicant combines a linguistics PhD or MS with published research on a language problem that current AI systems miss. You also have a sub-domain specialty such as formal syntax, morphology, phonology, corpus work with low-resource languages, or phonetics with Praat and IPA. People who lack US work authorization or cannot show research depth often get filtered out in the first review. Applications also score low when candidates list general linguistics knowledge but no publications or concrete corpus and NLP projects. This role suits independent workers who can write precise feedback on their own schedule, not people who need steady hours, live collaboration, or a permanent position.
Salary Insight
The listing states $75.00 per hour. For project-based AI training work that requires a PhD or MS and a publication record, this rate sits at the higher end of what such specialized evaluation roles tend to offer. Pay is tied to project tasks, so total earnings depend on how much work you choose to take on.
Pay and demand for Language & Linguistics roles
AggregatedTypical pay
$30/hour
This role
$75/hr
Most Language & Linguistics roles pay $22–$48 per hour. This role's pay sits above that range.
Based on 257 similar roles that publish pay · 101 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
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- Listed in last 30 days
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Hiring most right now: SME Careers (105) · micro1 (77) · Mercor (37)
Most requested skills · share of roles
- localization32%
- translation quality review29%
- translation27%
- proofreading27%
Figures from Language & Linguistics roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$75/hr
Required Skills
Application Tip
In your application, name the exact linguistic sub-domain you know best, then give one published or project example where you analyzed a language phenomenon that trips up AI models. Include tools such as Praat, IPA, or corpus software and a quantified result if possible, because reviewers look for proof of research depth and clear writing.
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