# Paid Event: Technology & Everyday Life (£175 Voucher) \| Location: London, UK (In-Person) \| Date: 10 November at Tester Work

> Onsite · United Kingdom · Unspecified · Other · open. Source: https://alderhq.app/jobs/recruitee%3Atesterwork%3A2794434 (read 2026-11-08).

## Facts (observed)

- Company: [Tester Work](https://alderhq.app/companies/tester-work)
- Location text: London, England, United Kingdom
- Where it can be done from (inferred): Onsite · United Kingdom (evidence: "Location: London, England, United Kingdom")
- Posted: 2026-10-22 (17 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://testerwork.recruitee.com/o/paid-event-technology-everyday-life-175-voucher-location-london-uk-in-person-date-10-november

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (London, n 1852): p25 £45k, median £57k, p75 £73k

## Description (the employer's text)

Are you someone who rarely or never uses Artificial Intelligence (AI)? We want to hear from you! We are hosting a paid feedback session in London on the 10th of November to understand how everyday people view and interact with new technologies.

No prior AI experience is needed—in fact, we prefer if you don't use it! We simply want your honest opinions, everyday perspective, and feedback on how technology impacts daily life.

### Who we are looking for

Currently based in or able to commute to London.

Individuals who rarely or never use AI tools (e.g., ChatGPT) in their day-to-day routine.

Willing to share honest opinions in a relaxed, friendly environment.

Apply Now: Spots are limited! Fill out our brief application form to see if you qualify. Selected participants who complete the session will receive a £175 voucher as a thank-you for their time.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Atesterwork%3A2794434 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
