37.917, Jobs: English; Applied Linguistics: Research Annotator - Qualitative and Mixed Methods Analysis of Digital Hate, NYU

[The LINGUIST List]

LINGUIST List: Vol-37-917. Thu Mar 05 2026. ISSN: 1069 - 4875.

Subject: 37.917, Jobs: English; Applied Linguistics: Research Annotator - Qualitative and Mixed Methods Analysis of Digital Hate, NYU

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================================================================


Date: 04-Mar-2026
From: Matthias Becker [mb10902 at nyu.edu]
Subject: English; Applied Linguistics: Research Annotator - Qualitative and Mixed Methods Analysis of Digital Hate, NYU


Job Location: New York tri-state area, USA
Web Address: https://studyantisemitism.nyu.edu/about-the-center
Job Title: Research Annotator - Qualitative and Mixed Methods Analysis
of Digital Hate
Job Rank: Researcher
Salary: $30 USD per hour

Minimum Education: MA or PHD

Specialty Areas: Applied Linguistics

Specialty Language(s): English (eng)

Other Specialties: Pragmatics, Discourse Analysis, Multimodality, Hate
Speech, Digital Hate Studies, Social Media Studies
Description:
Research Annotator – Qualitative and Mixed Methods Analysis of Digital
Hate
NYU Center for the Study of Antisemitism · Part-time · Tri-state
area-based (NYC-based ideal)
Role Overview:
NYU's Center for the Study of Antisemitism is seeking Research
Annotators to join Decoding Hate, a field-building research hub
examining how hate circulates, adapts, and normalizes in digital
environments. The position offers the opportunity to contribute to
rigorous academic research, policy-relevant insights, and the
development of context-aware AI detection systems.
This isn't mechanical tagging—it's theory-informed interpretive work
that forms the empirical backbone of interdisciplinary hate speech
research. Our work demonstrates that a large portion of hate content
in mainstream digital spaces operates through implicit, coded, or
multimodal forms—spread through irony, political framing, and shared
references largely undetectable by automated systems. Understanding
this requires human expertise.
The role is tri-state-based (NYC-based ideal) and reports to the
project's Lead Researcher.
Key Responsibilities:
1) Qualitative Analysis & Annotation
 - Conduct continuous, systematic annotation of social media content
across platforms including TikTok, X, Instagram, and Reddit
 - Analyze textual, visual, and multimodal content using MAXQDA
 - Identify implicit meanings, indirect references, metaphors,
narrative frames, and visual-symbolic cues
 - Distinguish between legitimate political expression and harmful
discourse with close attention to context and pragmatics
2) Research Collaboration & Method Development
 - Participate in regular team meetings and inter-annotator
calibration sessions
 - Contribute to the iterative refinement of coding schemes and
annotation guidelines
 - Collaborate with senior researchers and data science teams to
support interdisciplinary analysis
 - Maintain structured documentation of analytical decisions and
emerging patterns
Qualifications:
 - Native or near-native English proficiency with strong language
sensitivity
 - MA or PhD student (or completed degree) in Linguistics, Discourse
Studies, Semiotics, Visual Studies, Media Studies, History, Political
Science, Social Sciences, or related field
 - Experience with qualitative content analysis and
discourse-analytical methods (required)
 - Experience with MAXQDA or comparable mixed-methods software
(required)
 - Fluency with contemporary social media platforms, particularly
TikTok, X, Instagram, and Reddit
 - Openness and resilience to engage with hate speech content,
including antisemitism, different forms of racism, and misogyny
Highly Desirable:
 - Research experience in antisemitism studies, misogyny/gender-based
hate, racism studies, or intersectional hate research
 - Experience with multimodal analysis (memes, visual rhetoric,
image–text relations)
 - Strong written documentation skills

Application Deadline: 13-Mar-2026
Mailing Address for Applications:
        Dr. Matthias J. Becker
        CSA, 8th floor
        NYU
        60 5th Ave
        New York, NY 10011
        USA
Email Address for Applications: mb10902 at nyu.edu
Web Address for Applications:
https://docs.google.com/document/d/16L8SMHtAMSS4jj4Cn6xa3i3PbqZC5CPh2FOq-Xrvkak/view?tab=t.0#heading=h.zeqynfy9c6aa
Contact Information:
        Matthias J. Becker
        Email: mb10902 at nyu.edu



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