Claude AI Expert for Ad Research & High-Converting Recruiting Ads (Life Insurance Niche)

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

TYPE OF WORK

Part Time

SALARY

5

HOURS PER WEEK

20

DATE UPDATED

Mar 26, 2026

JOB OVERVIEW

Overview

I’m a life insurance agent scaling a team by recruiting high-ticket sales professionals (setters & closers).

I’m looking for a Claude Code expert who can combine:

AI-powered research
Marketing strategy
Ad creative development

Your role is to identify, analyze, and replicate winning ads—then turn them into high-converting recruiting ads tailored to my niche.

This is NOT a basic VA role. I’m looking for someone who can think, analyze, and build systems.

What You’ll Be Doing
Use Claude (with code capabilities) to:
Research ads across platforms (Meta, TikTok, YouTube, Google)
Analyze large volumes of ads and extract patterns
Break down winning ads into:
Hooks
Messaging
Offers
Emotional triggers
Identify what makes ads perform and why
Create:
Short-form video ad scripts (TikTok / Reels style)
Written ad copy
Multiple hook variations for testing
Continuously improve ads based on findings and performance
Requirements (MUST HAVE)
Strong experience using Claude AI with code capabilities
You understand how to use Claude beyond basic prompting
You can analyze, structure, and extract insights from data
Strong understanding of:
Direct response marketing
High-converting ad creatives
Ability to:
Think critically and identify patterns (not just generate content)
Strong English writing skills
BONUS (Highly Preferred)
Experience with:
Meta Ads Library / TikTok Creative Center
Recruiting ads or high-ticket sales ads
Insurance, finance, or opportunity-based marketing
Experience with n8n (or similar tools like Zapier / Make)
Ability to build workflows that automate ad research and analysis
Basic coding or scripting experience (Python, APIs, scraping tools)
Experience building repeatable AI + automation systems
Compensation
Competitive (based on experience)
Performance-based bonuses tied to ad results
Opportunity for long-term growth
To Apply

Please include ALL of the following:

Examples of your work (ads, copy, or AI workflows)
A short Loom video (2–3 minutes) explaining:
How you would use Claude Code to find and analyze winning ads
Describe ONE workflow you would build using Claude (and n8n if applicable) to improve ad performance
Share one ad you think is currently “winning” and explain why

Who This Is Perfect For

Someone who:

Knows how to use AI as a research and analysis engine
Can combine technical skills + marketing thinking
Enjoys reverse-engineering what makes ads work
Wants to build systems—not just complete tasks

If you understand both AI systems AND marketing psychology, this role is for you.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0107
Controller Execution Time ( Jobseekers / Job )  0.1421
Total Execution Time  0.1734
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,493,064 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Claude-AI-Expert-for-Ad-Research-High-Converting-Recruiting-Ads-Life-Insurance-Niche-1607310
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0905 seconds)  (Hide)
0.0011   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0026   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1607310
 LIMIT 1 
0.0044   SELECT *
FROM `employers`
WHERE `employer_id` = 392921
 LIMIT 1 
0.0010   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1607310
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 '1607310' 
0.0013   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1607310 
0.0022   UPDATE employer_jobs SET hit_counts '***Mar-22-2026=224***Mar-23-2026=62***Mar-24-2026=31***Mar-25-2026=36***Mar-26-2026=522***Mar-27-2026=42***Mar-28-2026=15***Mar-29-2026=6***Mar-30-2026=16***Mar-31-2026=86***Apr-01-2026=7***Apr-02-2026=8***Apr-03-2026=16***Apr-04-2026=3***Apr-06-2026=5***Apr-07-2026=4***Apr-08-2026=2***Apr-09-2026=1***Apr-10-2026=1***Apr-11-2026=1***Apr-15-2026=1' WHERE job_id'1607310'  
0.0010   UPDATE employer_jobs SET monthly_hits '***Mar-2026=1040***Apr-2026=49' WHERE job_id'1607310'  
0.0070   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1607310' AND status LIKE 'sent%' ORDER BY id DESC  
0.0007   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1607310 
0.0670   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '392921'
AND `date_added` >= '2022-06-08' 
0.0011   select from teasers 
0.0007   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)