Amazon FBA Product Research VA (Online Arbitrage & Wholesale – Quality Focused) (BONUSES ON EVERY PURCAHSED PRODUCT))

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

: TYPE OF WORK

Full Time

: SALARY

$2.00/hr + Bonuses (Explained in Desc)

: HOURS PER WEEK

40

: DATE UPDATED

Feb 14, 2026

JOB OVERVIEW

We are a UK-based Amazon FBA business looking for a reliable Product Research Virtual Assistant to help identify profitable products for Online Arbitrage and Wholesale sourcing.

This role focuses on QUALITY OVER QUANTITY. The objective is not to analyse the highest number of products, but to identify stable, profitable opportunities that meet clear and realistic buying criteria.

??????????????????

MAIN RESPONSIBILITIES

Scan supplier and wholesale product lists
Research products on Amazon UK
Analyse Keepa charts and price history
Calculate profit, ROI and competition levels
Identify stable and realistic buying opportunities
Record results accurately in Google Sheets

As the role develops, additional tasks may include researching potential suppliers and distributors and assisting with sourcing and supplier research.

This is a product research role only. No customer service, listing creation or advertising work is required.

??????????????????

REQUIREMENTS

Experience with Amazon FBA product research (Online Arbitrage or Wholesale)
Understanding of Keepa charts and Amazon fees
Strong attention to detail
Ability to prioritise accuracy over speed
Good English communication
Reliable internet connection

??????????????????

WORK STRUCTURE

Initial paid trial period (1 full day, 8 hours). In some cases a few trial days may be used to ensure a good long-term fit.
Trial rate: $2.00 per hour.
No bonus during the trial period.

After successful trial, the role moves to part-time and eventually full-time work.

We are looking for a long-term tea ---------- mber. Pay for this role WILL increase over time as performance, reliability and results improve.

??????????????????

PAY STRUCTURE

Base pay is $2.00 per hour.

In addition, performance bonuses are paid for product leads that meet our buying criteria and are approved for purchase. The bonus structure rewards accuracy and quality rather than high volume.

Bonus structure example:

Approved product with approximately £100–£199 total expected profit ? $3 bonus
Approved product with approximately £200–£399 total expected profit ? $6 bonus
Approved product with approximately £400+ total expected profit ? $12 bonus

This structure encourages focusing on stronger opportunities rather than sending large numbers of low-quality leads.

This will include any wholesale excel sheets I provide (I will be sending quite a few of these to be scanned)

We prefer fewer high-quality leads instead of many low-quality submissions.

??????????????????

EXAMPLE BUYING CRITERIA (FOR GUIDANCE ONLY)

The following is an example of our current criteria. This is not final and we will discuss and agree on realistic criteria together once work begins.

Minimum ROI around 30%
Minimum profit around £3 per unit
Stable pricing history on Keepa
Reasonable competition levels
Products with strong overall profit potential

In general, if a product cannot comfortably generate approximately £100 total profit per purchase, it is usually not worth buying. Higher profit opportunities are more likely to be selected.

Final criteria will be discussed and refined together to ensure they are realistic and achievable.

??????????????????

WHEN APPLYING, PLEASE ANSWER THE FOLLOWING

How many years of experience do you have with Amazon FBA product research?
Which tools do you use for research (Keepa, SellerAmp, etc.)?
Find one real profitable product OA or Wholesale and explain in detail why it is a good pick (Doesn't have to be 100% ROI I am interested in your reasoning and explanation as to why it is good. Minimum 20% ROI)
On average, how many OA or Wholesale leads do you believe you can find in a full working day? (Please be honest — higher numbers do not mean better.)
What sourcing methods do you normally use (supplier lists, storefront research, reverse sourcing, manual sourcing, etc.)?
What criteria do you believe is most important when d ---------- if a product is a good buy?
Describe a situation where you d ---------- NOT to buy a product and why.

We value honest and realistic answers more than impressive numbers.

??????????????????

To confirm you have read the full job description, please include the word “Keepa” at the beginning of your application.

SKILL REQUIREMENT

Amazon Product Research Microsoft Excel

SHARE THIS POST

Job Post	Reporter	Rank	Reason	Date

BENCHMARKS

Loading Time: Base Classes	0.0009
Controller Execution Time ( Jobseekers / Job )	0.0152
Total Execution Time	0.0169

GET DATA

No GET data exists

MEMORY USAGE

1,513,816 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/job/Amazon-FBA-Product-Research-VA-Online-Arbitrage-Wholesale-Quality-Focused-BONUSES-ON-EVERY-PURCAHSED-PRODUCT-1579643

CLASS/METHOD

jobseekers/job

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 13 (0.0074 seconds) (Hide)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0004	SELECT * FROM `employer_jobs` WHERE `job_id` = 1579643 LIMIT 1
0.0004	SELECT * FROM `employers` WHERE `employer_id` = 904729 LIMIT 1
0.0008	SELECT COUNT(*) AS `numrows` FROM `t_thread` `t` LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id` WHERE `t`.`job_id` = 1579643 AND `misc`.`id` IS NULL
0.0004	SELECT e.business_name, e.logo, e.website, e.rebill_date, e.date_added member_date, hits, DATEDIFF('2026-04-22',ej.date_added) duration_days, DATEDIFF('2026-04-22',e.rebill_date) duration_rebill, ej.*, e.deactivate FROM employers e, employer_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('2026-04-22',ej.date_added) <= 14 )) AND e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1579643'
0.0003	SELECT * FROM `employer_jobs_skills` `ejs` LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id` WHERE `job_id` = 1579643
0.0014	UPDATE employer_jobs SET hit_counts = '*Feb-14-2026=144Feb-15-2026=239Feb-16-2026=75Feb-17-2026=39Feb-18-2026=19Feb-19-2026=14Feb-20-2026=15Feb-21-2026=6Feb-22-2026=3Feb-23-2026=12Feb-24-2026=5Feb-25-2026=10Feb-26-2026=3Feb-28-2026=4Mar-01-2026=7Mar-02-2026=3Mar-03-2026=1Mar-04-2026=1Mar-05-2026=4Mar-06-2026=3Mar-07-2026=5Mar-08-2026=3Mar-09-2026=2Mar-10-2026=3Mar-11-2026=3Mar-12-2026=6Mar-14-2026=1Mar-15-2026=5Mar-16-2026=3Mar-17-2026=2Mar-18-2026=3Mar-19-2026=4Mar-20-2026=1Mar-21-2026=5Mar-22-2026=3Mar-23-2026=4Mar-24-2026=3Mar-25-2026=2Mar-26-2026=6Mar-27-2026=4Mar-28-2026=2Mar-30-2026=2Mar-31-2026=3Apr-01-2026=2Apr-02-2026=1Apr-04-2026=3Apr-05-2026=2Apr-06-2026=3Apr-07-2026=1Apr-08-2026=1Apr-09-2026=2Apr-10-2026=2Apr-11-2026=4Apr-12-2026=1Apr-13-2026=4Apr-14-2026=3Apr-15-2026=4Apr-16-2026=4Apr-18-2026=2*Apr-22-2026=1' WHERE job_id= '1579643'
0.0006	`UPDATE employer_jobs SET monthly_hits = '*Feb-2026=588Mar-2026=94**Apr-2026=40' WHERE job_id= '1579643'`
0.0009	`SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1579643' AND status LIKE 'sent%' ORDER BY id DESC`
0.0003	SELECT * FROM `employer_jobs_skills` `ejs` LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id` WHERE `job_id` = 1579643
0.0009	SELECT COUNT(*) AS `numrows` FROM `employer_jobs` WHERE `employer_id` = '904729' AND `date_added` >= '2022-06-08'
0.0003	`select * from teasers`
0.0005	`SELECT * FROM skill_categories WHERE skill_cat_id=''`

HTTP HEADERS (Show)

SESSION DATA (Show)

__ci_last_regenerate	1776826785
last_page	https://v1.stage.onlinejobs.ph/jobseekers/job/Amazon-FBA-Product-Research-VA-Online-Arbitrage-Wholesale-Quality-Focused-BONUSES-ON-EVERY-PURCAHSED-PRODUCT-1579643
csrf-token	5b9f464c7fa2afbdf16bc51b892b6fa8
job_search_keyword

CONFIG VARIABLES (Show)

base_url	https://v1.stage.onlinejobs.ph
log_threshold	2
enable_profiler
index_page
uri_protocol	PATH_INFO
url_suffix
language	english
charset	UTF-8
enable_hooks	1
subclass_prefix	MY_
composer_autoload	vendor/autoload.php
permitted_uri_chars	a-z 0-9~%.:_\=\-\+\@?\&
enable_query_strings
controller_trigger	c
function_trigger	m
directory_trigger	d
allow_get_array	1
log_path
log_file_extension
log_file_permissions	420
log_date_format	Y-m-d H:i:s
error_views_path
cache_path
cache_query_string
encryption_key	OdBUArjiWg9I7u7bvAwQ7Fu35VB1kzga
sess_driver	files
sess_cookie_name	ci_session
sess_expiration	2678400
sess_save_path
sess_match_ip
sess_time_to_update	300
sess_regenerate_destroy
cookie_prefix
cookie_domain
cookie_path	/
cookie_secure
cookie_httponly
standardize_newlines
global_xss_filtering	1
csrf_protection
csrf_token_name	csrf_test_name
csrf_cookie_name	csrf_cookie_name
csrf_expire	7200
csrf_regenerate	1
csrf_exclude_uris	Array ( )
compress_output
time_reference	local
rewrite_short_tags
proxy_ips
ojadmin	JpjZkQN5A8l@^L
salt	+UFjSAT49tPZLtmU2CIG2FYN7pRhgsWyLHgSyQa6k3I=
queue_enabled
twilio	Array ( [sid] => AC00c0594045c6eef9407e8fff01f3d467 [token] => f0bfc0b73444a077894a43f5f75e6d41 [length] => 6 [from] => +639221200200 [code_expiry_seconds] => 14400 )
maintenance	Array ( [admin] => Array ( [verification] => ) [announcement_bar] => Array ( [show_slow_issue_message] => ) )
trustpilot	Array ( [to_email] => onlinejobs.ph+3d844ebf71@invite.trustpilot.com )
services	Array ( [google_tag_manager] => Array ( [id] => GTM-T5CQMS6P ) [chatgpt] => Array ( [secret] => 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 ) [claude] => Array ( [secret] => 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 ) )
v2_url	https://v2.stage.app.onlinejobs.ph
replacemyself_secret_key	Kk1WpgTMkc4wBQOqC5rqCssdLhACKrsJeTtO1ywUkT4=
app	Array ( [app] => Array ( [command] => Array ( [map] => Array ( [OnlineJobs\Mailer\Command\SendEmailCommand] => OnlineJobs\Mailer\Handler\SendEmailHandler [OnlineJobs\Mail\Command\SendEmailCommand] => OnlineJobs\Mail\Handler\SendEmailHandler [OnlineJobs\Mail\Command\QueueEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueEmailPendingHandler [OnlineJobs\Mail\Command\QueueJobEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueJobEmailPendingHandler [OnlineJobs\Mail\Command\QueueUnapprovedEmailCommand] => OnlineJobs\Mail\Handler\QueueUnapprovedEmailHandler [OnlineJobs\Mail\Command\ProcessEmailQueueCommand] => OnlineJobs\Mail\Handler\ProcessEmailQueueHandler [OnlineJobs\Mail\Command\PutJobseekerEmailOnHoldCommand] => OnlineJobs\Mail\Handler\PutJobseekerEmailOnHoldHandler [OnlineJobs\Purchase\Command\RealEstateVaCourseCommand] => OnlineJobs\Purchase\Handler\RealEstateVaCourseHandler [OnlineJobs\Test\Command\HelloCommand] => OnlineJobs\Test\Handler\HelloHandler ) [middleware] => Array ( ) ) [providers] => Array ( [0] => OnlineJobs\Bus\BusServiceProvider [1] => OnlineJobs\Database\DbServiceProvider [2] => OnlineJobs\Mailer\MailerServiceProvider [3] => OnlineJobs\Support\SupportServiceProvider [4] => OnlineJobs\Employer\ServiceProvider [5] => OnlineJobs\Jobseeker\ServiceProvider [6] => OnlineJobs\Mail\ServiceProvider [7] => OnlineJobs\Postal\ServiceProvider [8] => OnlineJobs\Queue\ServiceProvider [9] => OnlineJobs\Courier\ServiceProvider [10] => OnlineJobs\Job\ServiceProvider [11] => OnlineJobs\Purchase\ServiceProvider ) ) )
meta	Array ( [facebook] => Array ( [input] => 1 [connect] => 2 [timezone] => 3 [url] => 30 [id] => 31 [photo] => 32 [name] => 33 [email] => 34 [review] => 35 ) [trust] => Array ( [government_id] => 4 [utility_bill] => 5 [selfie_photo] => 6 [profile_picture] => 7 [phone_number] => 8 [facebook] => 9 ) [verify] => Array ( [profile_picture] => 10 [government_id] => 11 [selfie_photo] => 12 [utility_bill] => 13 [address] => 14 [name] => 15 [reviewed] => 16 [government_group] => 28 [address_group] => 29 [mobile] => 38 ) [address] => Array ( [complete] => 17 [room_unit_no] => 20 [house_no] => 21 [street] => 22 [subdivision] => 23 [barangay] => 24 [city] => 25 [province] => 26 [postcode] => 27 ) [reviewed] => Array ( [similar_names] => 1 ) [name] => 18 [phone] => 19 [sms_verification_code] => 36 [resend_verification_code] => 37 [address_read] => 39 [first_name] => 100 [middle_name] => 101 [last_name] => 102 [edit] => Array ( [government_id_group] => 40 [address_group] => 41 [mobile_group] => 42 ) [salary_re_entry] => 103 [id_proof_recalibrate] => 104 [email] => 44 [mobile_verification_type] => 45 )
honeypot	Array ( [name_field] => my_name [enabled] => 1 )

HTTP_ACCEPT	/
HTTP_USER_AGENT	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
HTTP_CONNECTION	Upgrade
SERVER_PORT	80
SERVER_NAME	v1.stage.onlinejobs.ph
REMOTE_ADDR	127.0.0.1
SERVER_SOFTWARE	Apache/2.4.58 (Ubuntu)
HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
REQUEST_METHOD	GET
HTTP_HOST
REMOTE_HOST
CONTENT_TYPE
SERVER_PROTOCOL	HTTP/1.1
QUERY_STRING
HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.217.7
HTTP_DNT

Amazon FBA Product Research VA (Online Arbitrage & Wholesale – Quality Focused) (BONUSES ON EVERY PURCAHSED PRODUCT))

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

TYPE OF WORK

SALARY

HOURS PER WEEK

DATE UPDATED

Why is this blurred?