Route Mapping & Property Research Virtual Assistant

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Part Time

SALARY

negotiable

HOURS PER WEEK

TBD

DATE UPDATED

Apr 10, 2026

JOB OVERVIEW

We are a UK cleaning company looking for a detail-oriented Virtual Assistant to help us build targeted residential walking routes for door hanger distribution.

You will use Google Maps, Google My Maps, Zoopla, and spreadsheets to identify high-value residential houses in the UK based on strict criteria.

Your Responsibilities:

Research UK residential areas using Google Maps and Zoopla
Identify houses worth £300,000+
Confirm properties have 3+ bedrooms
Exclude bungalows, flats, apartments, and inaccessible gated communities
Use Google My Maps to create tight circular walking routes
Add and organize 100–130 qualifying houses per route
Label areas, polygons, and route markers correctly
Update spreadsheets with route name, area, and number of houses mapped
Follow our SOP exactly without skipping checks

Requirements:

Strong experience with Google Maps and Google My Maps
Good research skills and attention to detail
Able to verify properties carefully before adding them
Comfortable using spreadsheets
Able to follow detailed instructions
Bonus if you have experience with Zoopla, Rightmove, UK property research, or route planning

Work Type:
Project-based / part-time

To Apply:
Start your application with the words: ROUTE MAP UK
Then answer these 4 questions:

What experience do you have with Google Maps, My Maps, or route planning?
Have you ever researched property data using Zoopla, Rightmove, or similar websites?
How do you make sure you do not include wrong houses by mistake?
Can you send a short sample or screenshot of similar research work you have done?

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0009
Controller Execution Time ( Jobseekers / Job )  0.1461
Total Execution Time  0.1475
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,489,496 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Route-Mapping-Property-Research-Virtual-Assistant-1616629
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.1397 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0009   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1616629
 LIMIT 1 
0.0004   SELECT *
FROM `employers`
WHERE `employer_id` = 820138
 LIMIT 1 
0.0180   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1616629
AND `misc`.`idIS NULL 
0.0006   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-15',ej.date_added) duration_daysDATEDIFF('2026-04-15',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_jobs ej WHERE e.employer_id ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-04-15',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1616629' 
0.0108   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1616629 
0.0009   UPDATE employer_jobs SET hit_counts '***Apr-03-2026=269***Apr-04-2026=437***Apr-05-2026=137***Apr-06-2026=126***Apr-07-2026=81***Apr-08-2026=42***Apr-09-2026=22***Apr-10-2026=1071***Apr-11-2026=185***Apr-15-2026=1' WHERE job_id'1616629'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Apr-2026=2369' WHERE job_id'1616629'  
0.0115   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1616629' AND status LIKE 'sent%' ORDER BY id DESC  
0.0004   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1616629 
0.0946   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '820138'
AND `date_added` >= '2022-06-08' 
0.0004   select from teasers 
0.0002   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)