Credit Repair Onboarding Specialist

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

TYPE OF WORK

Full Time

SALARY

$3-$5

HOURS PER WEEK

40

DATE UPDATED

Sep 25, 2026

JOB OVERVIEW

We are a fast-growing U.S.-based credit consulting company looking for a highly skilled Virtual Assistant (Philippines only) to handle new client onboarding and credit bureau account setup.
This is a long-term position with growth opportunities for the right person.
You will be responsible for onboarding new clients and helping them complete the setup process for faster dispute results.
Your daily tasks will include:
• Calling new clients and guiding them through onboarding
• Helping clients create a new Gmail account (for internal use)
• Assisting clients with setting up accounts on:
o Experian
o Equifax
o TransUnion
• Collecting login credentials securely
• Walking clients through identity verification steps
• Troubleshooting login or verification issues
• Ensuring all onboarding steps are completed properly
• Communicating clearly and professionally with clients
Requirements:
• MUST have prior Credit Repair experience (REQUIRED)
• Strong understanding of credit reports and disputes
• Excellent English speaking skills (VERY IMPORTANT)
• Clear pronunciation (U.S. clients must understand you easily)
• Comfortable being on the phone for extended periods
• Patient and professional with clients
• Tech-savvy (can guide clients step-by-step)
• Reliable internet and quiet workspace

To be considered, you MUST submit a 1–2 minute voice recording answering the following:
1. Introduce yourself
2. Explain your experience with credit repair
3. Describe how you would help a client create a Gmail and set up a credit bureau account
?? DO NOT use Vocaroo (we cannot access those recordings)
? Use one of these instead:
• Google Drive link
• Dropbox
• Loom (audio/video)
Applications without a voice recording will be automatically rejected.
???? Compensation:
• Competitive hourly pay (based on experience)
• Performance bonuses available
• Long-term growth opportunity

???? Bonus Skills (Preferred but not required):
• Experience with identity theft disputes
• Experience calling credit bureaus
• Familiar with CRM systems (GoHighLevel, CDM, etc.)
• Experience handling U.S. clients

???? Important:
We are looking for someone serious, reliable, and long-term.
If you are not experienced in credit repair, please do not apply.


“To confirm you read this entire job post, type: ‘READY TO HELP CLIENTS WIN’ at the top of your application.”

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0053
Controller Execution Time ( Jobseekers / Job )  0.0354
Total Execution Time  0.0416
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,511,568 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Credit-Repair-Onboarding-Specialist-1616289
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0215 seconds)  (Hide)
0.0035   SELECT *
                                
FROM exrates
                                WHERE rate_name 
= 'USD-PHP' 
0.0023   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1616289
 LIMIT 1 
0.0025   SELECT *
FROM `employers`
WHERE `employer_id` = 325165
 LIMIT 1 
0.0024   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1616289
AND `misc`.`id` IS NULL 
0.0008   SELECT e.business_name, e.logo, e.website, e.rebill_date, e.date_added member_date, hits, DATEDIFF('2026-09-27',ej.date_added) duration_days, DATEDIFF('2026-09-27',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('2026-09-27',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1616289' 
0.0016   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1616289 
0.0016   UPDATE employer_jobs SET hit_counts = '***Apr-03-2026=551***Apr-04-2026=54***Apr-05-2026=59***Apr-06-2026=591***Apr-07-2026=48***Apr-08-2026=35***Apr-09-2026=14***Apr-10-2026=7***Apr-11-2026=10***Apr-12-2026=4***Apr-13-2026=3***Apr-14-2026=5***Apr-15-2026=3***Apr-16-2026=2***Apr-17-2026=4***Apr-18-2026=3***Apr-19-2026=2***Apr-20-2026=3***Apr-21-2026=3***Apr-22-2026=2***Apr-23-2026=4***Apr-24-2026=1***Apr-26-2026=1***Apr-27-2026=1***Apr-28-2026=2***Apr-29-2026=1***Apr-30-2026=1***May-01-2026=2***May-02-2026=2***May-05-2026=1***May-07-2026=1***May-08-2026=4***May-09-2026=1***May-11-2026=3***May-12-2026=2***May-14-2026=1***May-16-2026=1***May-18-2026=3***May-19-2026=2***May-20-2026=1***May-21-2026=1***May-22-2026=1***May-23-2026=1***May-24-2026=1***May-26-2026=1***May-29-2026=1***Jun-01-2026=2***Jun-02-2026=2***Jun-04-2026=2***Jun-05-2026=1***Jun-07-2026=1***Jun-08-2026=2***Jun-09-2026=1***Jun-10-2026=3***Jun-11-2026=2***Jun-12-2026=2***Jun-13-2026=2***Jun-14-2026=4***Jun-15-2026=1***Jun-17-2026=2***Jun-18-2026=1***Jun-22-2026=4***Jun-23-2026=2***Jun-28-2026=3***Jun-29-2026=331***Jun-30-2026=47***Jul-01-2026=38***Jul-02-2026=17***Jul-03-2026=19***Jul-04-2026=10***Jul-05-2026=7***Jul-06-2026=16***Jul-07-2026=10***Jul-08-2026=13***Jul-09-2026=6***Jul-10-2026=7***Jul-11-2026=8***Jul-12-2026=1***Jul-13-2026=2***Jul-14-2026=7***Jul-15-2026=1***Jul-16-2026=1***Jul-17-2026=4***Jul-20-2026=1***Jul-21-2026=2***Jul-22-2026=2***Jul-23-2026=6***Jul-24-2026=1***Jul-25-2026=10***Jul-26-2026=12***Jul-27-2026=15***Jul-28-2026=11***Jul-29-2026=11***Jul-30-2026=12***Jul-31-2026=13***Aug-01-2026=13***Aug-02-2026=13***Aug-03-2026=10***Aug-04-2026=10***Aug-05-2026=13***Aug-06-2026=7***Aug-07-2026=16***Aug-08-2026=20***Aug-09-2026=19***Aug-10-2026=16***Aug-11-2026=20***Aug-12-2026=23***Aug-13-2026=17***Aug-14-2026=20***Aug-15-2026=23***Aug-16-2026=22***Aug-17-2026=24***Aug-18-2026=28***Aug-19-2026=25***Aug-20-2026=24***Aug-21-2026=23***Aug-22-2026=21***Aug-23-2026=22***Aug-24-2026=22***Aug-25-2026=24***Aug-26-2026=20***Aug-27-2026=5***Aug-28-2026=8***Aug-29-2026=3***Aug-31-2026=2***Sep-01-2026=1***Sep-04-2026=1***Sep-07-2026=2***Sep-09-2026=2***Sep-12-2026=2***Sep-20-2026=1***Sep-25-2026=469***Sep-26-2026=35***Sep-27-2026=1' WHERE job_id= '1616289'  
0.0009   UPDATE employer_jobs SET monthly_hits = '***Apr-2026=1413***May-2026=30***Jun-2026=415***Jul-2026=263***Aug-2026=513***Sep-2026=513' WHERE job_id= '1616289'  
0.0014   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1616289' AND status LIKE 'sent%' ORDER BY id DESC  
0.0004   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1616289 
0.0015   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '325165'
AND `date_added` >= '2022-06-08' 
0.0008   select * from teasers 
0.0018   SELECT * FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)