Research Engineer — AI Search Methodology
Remote · Full time or contract
$60K–$110K USD + equity
The company
The company is a New York based startup,
$55M+ in funding
, with strong traction -
5x revenues in 2025
, and a fast growing team of
+100 employees
.
The product is a content engineering platform for AI-mediated discovery across ChatGPT, Perplexity, Gemini, Claude, and AI Overviews.
Brands use it to understand
where they appear, why they are cited, and which content influences AI-generated answers
.
Customers include
Ramp, Chime, Carta, Webflow, Klaviyo, Kayak, and Rippling
. Investors include Greylock, Unusual Ventures, Wing VC, and Founder Collective.
Revenue grew 5x last year.
The role
You will help build the research function for a new category:
how AI search systems retrieve, rank, cite, summarize, and recommend content
.
This is not copywriting or product documentation. It is an
applied research role with a public writing surface
.
You will design studies, build datasets, analyze messy AI-search data, validate findings,
and turn them into public research that technical readers, SEOs, analysts, journalists, marketers, and customers can trust.
Best fit: research engineer, data scientist, search/relevance analyst, computational journalist, or technical SEO analyst with strong Python/SQL and clear writing.
The problem
AI search is early, noisy, and easy to misread. Most market claims rely on small samples, unclear prompts, biased datasets, cherry-picked examples, and confident conclusions from fragile evidence.
Good research means knowing what counts as retrieved vs. cited, which confounders matter, and where the evidence stops. The hard part is making a claim that survives skeptical readers.
What you’ll own
• Research design: prompt sets, query taxonomies, samples, comparison groups, and measurable outcomes.
• Dataset construction: AI responses, cited URLs, retrieved URLs, fan-out queries, SERP results, scraped pages, extracted text, schem
📌 Research Engineer (India)
🏢 AURORA
📍 India