Lead Qualification Assistant – Amazon Research

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

TYPE OF WORK

Gig

SALARY

$2.5 USD/Hour

HOURS PER WEEK

40

DATE UPDATED

Apr 10, 2026

JOB OVERVIEW

Lead Qualification Assistant – Amazon Research (Remote)
Flexible Working Hours | Remote

About Us:
The Amazon Whisperer is a fast-growing eCommerce marketing agency helping consumer brands scale profitably on Amazon and other marketplaces. We work with a large volume of brands and rely on clean, accurate data to identify high-potential opportunities.

We’re looking for a detail-oriented Lead Qualification Assistant to help us manually qualify a large list of Amazon seller leads. This is a straightforward, repeatable task and is ideal for someone who is comfortable with spreadsheets, basic research, and working independently.

The Role:
This role is focused entirely on manual lead qualification using a provided spreadsheet and clear instructions.
You will be working through tens of thousands of leads, one by one, and gathering basic data to help us determine whether a brand is worth contacting.
This is not a strategic role and does not require advanced Amazon knowledge — just accuracy, consistency, and reliability.

What You’ll Be Doing:
Open a provided link to a brand’s Amazon store or product listing
Confirm the brand has active products listed on Amazon
Open Helium 10 and:
Check the estimated monthly revenue of products on the first page
Enter required data into a spreadsheet:
Monthly revenue estimate
Confirmation of active products
Any basic notes (if applicable)
Move on to the next lead and repeat the process
Clear SOPs and examples will be provided.


Requirements:
Comfortable working with Google Sheets
Basic familiarity with Amazon product listings
Willingness to follow a repetitive, process-driven task
Strong attention to detail and accuracy
Reliable internet connection
Ability to work independently without constant supervision
Prior experience with Helium 10 is a plus (but not required — guide will be provided)


Pay & Hours:
Flexible hours
Long-term work available due to the large volume of leads
Performance-based continuation (consistent accuracy = ongoing work)

Who This Role Is Best For:
Entry-level virtual assistants
Anyone looking for simple, stable, process-based work
Detail-oriented individuals who prefer clear instructions and minimal ambiguity
Those comfortable doing repetitive tasks efficiently


How to Apply (Important):
To apply, please respond with all of the following:
Your resume (PDF or Google Drive link)
Your email address where we can contact you
Typing test result (screenshot or link) showing:
At least 40 WPM
High accuracy
(You may use sites like ---------- or ---------- )


Applications missing any of the above will not be reviewed.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0007
Controller Execution Time ( Jobseekers / Job )  0.0215
Total Execution Time  0.0228
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,489,616 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Lead-Qualification-Assistant-Amazon-Research-1589668
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0162 seconds)  (Hide)
0.0003   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0004   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1589668
 LIMIT 1 
0.0004   SELECT *
FROM `employers`
WHERE `employer_id` = 644829
 LIMIT 1 
0.0012   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1589668
AND `misc`.`idIS NULL 
0.0005   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 '1589668' 
0.0002   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1589668 
0.0007   UPDATE employer_jobs SET hit_counts '***Feb-27-2026=384***Feb-28-2026=99***Mar-01-2026=57***Mar-02-2026=67***Mar-03-2026=27***Mar-04-2026=35***Mar-05-2026=15***Mar-06-2026=11***Mar-07-2026=6***Mar-08-2026=4***Mar-09-2026=175***Mar-10-2026=169***Mar-11-2026=48***Mar-12-2026=61***Mar-13-2026=34***Mar-14-2026=15***Mar-15-2026=21***Mar-16-2026=21***Mar-17-2026=29***Mar-18-2026=213***Mar-19-2026=139***Mar-20-2026=62***Mar-21-2026=22***Mar-22-2026=17***Mar-23-2026=24***Mar-24-2026=11***Mar-25-2026=14***Mar-26-2026=17***Mar-27-2026=14***Mar-28-2026=6***Mar-29-2026=6***Mar-30-2026=6***Mar-31-2026=4***Apr-01-2026=7***Apr-02-2026=9***Apr-03-2026=1079***Apr-04-2026=86***Apr-05-2026=45***Apr-06-2026=45***Apr-07-2026=30***Apr-08-2026=26***Apr-09-2026=20***Apr-10-2026=581***Apr-11-2026=116***Apr-14-2026=1***Apr-15-2026=2' WHERE job_id'1589668'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Feb-2026=483***Mar-2026=1350***Apr-2026=2046' WHERE job_id'1589668'  
0.0013   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1589668' AND status LIKE 'sent%' ORDER BY id DESC  
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1589668 
0.0096   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '644829'
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)