Technology Retail Experience Auditor – London

Transperfect

Greater London

On-site

GBP 207,000 - 344,000

Full time

14 days+

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Job summary

DataForce by TransPerfect is seeking a reliable Retail Experience Auditor for an on-site assignment in London. This freelancer project runs on two specified dates, October 16 and October 23, 2026, with in-person visits to consumer electronics retailers and strict documentation of observations.

Applicants should be fluent in English, highly detail-oriented, tech-savvy and able to travel to London for both visits.

Qualifications

  • Be located in or able to travel to London.
  • Be available for in-person store visits on both dates.
  • Fluent English and native or proficient language.
  • Interest in technology or retail.
  • Strong observation and documentation skills.

Responsibilities

  • Visit assigned store on Oct 16 and Oct 23, 2026.
  • Observe customer service, product presentation, and store environment.
  • Follow project guidelines and questionnaire.
  • Capture permitted photos when required.
  • Submit observations in English within the timeframe.

Skills

Attention to detail
Observation skills
Fluent English
Tech-savvy
In-person work

Job description

Retail Experience Auditor – London

Work Location: London – On-site retail visits

Engagement Model: Freelancer / Independent Contractor

Project Dates:

  • October 16, 2026
  • October 23, 2026

Retail Experience Auditor

We are looking for reliable and detail-oriented contributors to participate in a short-term retail research project.

In this role, you will visit an assigned consumer electronics retail location on two specific dates and document your experience according to project guidelines. Your observations will help support research related to customer experience, retail operations, and consumer technology.

This is a freelance project requiring in-person attendance at a designated store. Participants should be comfortable spending an extended period at the location if needed due to customer traffic or waiting times.

Main Responsibilities
  • Visit an assigned retail store on October 16 and October 23, 2026.
  • Arrive at the location at the instructed time and follow the project schedule.
  • Observe and document the overall retail and customer experience.
  • Evaluate areas such as:
    • customer service and sales approach
    • product presentation
    • store environment
    • customer journey and overall experience
  • Follow a structured questionnaire and project guidelines.
  • Capture permitted store/product photos when required.
  • Submit clear and detailed observations following each visit.
  • Provide collected information in English within the required timeframe.
  • Communicate promptly with the project team regarding any issues during the assignment.
Role Requirements

Applicants must:

  • Be located in or able to travel to London.
  • Be available for an in-person store visit on both October 16 and October 23, 2026.
  • Be available for an extended visit if required due to store traffic or waiting times.
  • Have strong attention to detail and observation skills.
  • Be comfortable using smartphones and consumer technology.
  • Have an interest in technology, electronics, or retail.
  • Be able to follow detailed written instructions accurately.
  • Be fluent in English.
  • Be a native or highly proficient speaker of the language used at the assigned store.

Previous experience with retail audits, mystery shopping, customer experience research, market research, or consumer technology is preferred but not required.

Compensation

This is a flat-rate paid assignment per completed store visit.

The same compensation will apply separately to each approved visit completed on October 16 and October 23.

Specific compensation details will be communicated during the recruitment process.

About DataForce

DataForce by TransPerfect is part of the TransPerfect family of companies, a global provider of language and AI data solutions.

We deliver high-quality datasets that support Machine Learning and Artificial Intelligence technologies through data collection, annotation, enrichment, evaluation, and real-world research projects.

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