Description review

AssumeAI | AI Engineer (£30/hr) and Senior AI

AssumeAI · Remote · back to the listing

HR standards

60/100

needs work

Title ↔ description

61/100

needs work

Reads as

Unclear

no confident match

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

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.

Engineer (£50/hr)| Contract | REMOTE (UK) | https://assume-ai.com

We are a fast-growing AI startup. We help SMEs find where AI will produce a measurable return, then build the systems that deliver it: AI agents, Claude skills and production-grade business software, up to full business and enterprise systems. Stack: Claude Code, Vercel, Supabase.
A good fit for software engineers moving into AI engineering:
- Two weeks of paid AI training in our framework and methods before your first project.
- Projects typically run over several months, and each one is substantial.
- Large token limits for every contractor.
You need to: read code in Python, JS/TS, SQL, HTML/CSS and Bash; design and build databases; use Git and GitHub confidently; and be professional and clear on client calls. The senior role also needs complete products or systems you have designed and shipped.
Nice to have: Claude Code or similar AI tools, building Claude skills, embeddings and vector databases, Vercel/Supabase, project or account management.
Process: introductory interview, short practical exercise, final interview. Starting as soon as possible.
To apply email [email protected] with your CV