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Why this grade This listing scored 61/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Description depth 14 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$127k – $168k
That is the middle half of what comparable roles paid on this board over the last 90 days — 27 listings that did publish a figure, median $145k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
hn-hiring
+ PhD Researcher (part-time, REMOTE US)| https://squoosh.ai
We build AI systems that simulate how people explore digital experiences, helping commerce teams evaluate and improve websites. We're hiring for two roles:
Full-Stack Engineer — $90k–150k USD/year. Own features across the UI, APIs, and data layer; turn tickets into small, tested PRs and follow them through release. Relevant stack: React/Next.js, TypeScript, Python APIs, Postgres, browser automation. We want someone who uses AI coding tools well and can independently debug and validate what they ship. Strong projects and early-career builders welcome.
PhD Researcher — $60–70 USD/hour, part-time alongside current full-time PhD enrollment. Work on LLM/browser-agent evaluation, persona calibration, behavioral modeling, experimental design, and comparison with real A/B-test outcomes. Strong Python and research methods matter; bring a paper, repository, benchmark, or experiment you can explain deeply. US work authorization required; applicable CPT/OPT welcome. Schedule agreed around your doctorate.
Apply: [email protected], subject “HN — Full Stack” or “HN — PhD Researcher”. Include a resume/CV, a shareable work sample and your personal contribution; PhD applicants please include availability and research area.
Apply for this role Opens squoosh.ai — the employer's own page, as linked by the source that listed this role
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Where this listing came from
- 11 Sep 2026 Hacker News first sighting
Seen on 1 board over 11 days.