Verified current Job

Field Data Collection Specialist\Surveyor

Company Description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, a...

Job Full source details
tsmg (lever) United Kingdom Verified 7 hours ago Reference 39b57eb8-c5c3-44d3-b43a-101dd7f31807
✓ 80% verification score · Source: tsmg (lever) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentContract Full time
CountryUnited Kingdom
DepartmentField Projects

Overview

Company Description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project Objective The goal of the project is to survey businesses in London with an aim to verify business location, working hours, phone number. The collected data should be filled in the specific Google form. The Task The data collectors will be given specific addresses on each day that they will need to attend. Operator will be using a corporate smartphone for data collection. Therefore we are looking for someone who is active and communicative. Duration The project is ongoing and

Full job description

About The Role

Company Description

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe.

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

Project Objective

The goal of the project is to survey businesses in London with an aim to verify business location, working hours, phone number. The collected data should be filled in the specific Google form.

The Task

The data collectors will be given specific addresses on each day that they will need to attend. Operator will be using a corporate smartphone for data collection. Therefore we are looking for someone who is active and communicative.

Duration

The project is ongoing and we are looking for a new person to join our team. We expect it to last till the middle of December ‘23 but the project might grow.

Schedule

The schedule is Monday-Friday, 8 hours/day 40 hours per week.

Qualifications And Requirements

  • Good physical shape (~4 hours of walking every day).
  • Excellent communication skills.
  • Attention to details.
  • Fluent English (at least B1+).
  • Experience in the data collection field is a big advantage but not required.

What We Provide:

  • We provide a full training before the project starts (the training is paid).
  • All expenses related to travel, data plan, SIM card purchase are covered.
  • All necessary equipment (smartphone) is also provided by the company.
  • A letter of recommendation mentioning your experience in the data collection field.
  • Full management support and opportunity to grow.

Additional information

We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!

Requirements & qualifications

  • Good physical shape (~4 hours of walking every day).
  • Excellent communication skills.
  • Attention to details.
  • Fluent English (at least B1+).
  • Experience in the data collection field is a big advantage but not required.

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Verification notes

Discovered directly from the employer’s public Lever Postings API. Full public description, role lists and additional information were normalized into safe candidate-facing content.

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