Description review

Squoosh.AI | Full-Stack Engineer (full-time, REMOTE)

Squoosh.AI · Remote · back to the listing

HR standards

63/100

needs work

Title ↔ description

87/100

strong

Reads as

Full-Stack Engineer

100% confident

How others title the same work

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What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

+ 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.

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 12 points (from 75 before penalties). Reviewed 21 Sep 2026.