Robelyn

Real Estate Acquisitions VA | Probate, MLS & Data Specialist

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mark as hired

Overview

Looking for part-time work (5 hours/day)

at $6.64/hour ($800.00/month)

College Graduate

Last Active

July 3rd, 2026 (12 days ago)

Member Since

March 1st, 2017

Profile Description

Virtual Associate for 8 years. 6+ years of remote experience in real estate acquisitions and data operations. Expert in managing high-volume property pipelines (300–500 daily) and ensuring MLS compliance. Specialized in probate research, off-market lead generation, and profitability analysis.

Top Skills

Office and Administration » Data Entry

Experience: 5 - 10 years

Strong attention to detail with consistent validation to ensure error-free listings and contact databases.

Office and Administration » Data Management

Experience: 5 - 10 years

Accurate entry, updating, and maintenance of property and client records using real estate MLS systems

Office and Administration » Reliability

Experience: 5 - 10 years

Proven ability to work independently.

Other Skills

Real Estate » Lead Generation

Experience: Less than 6 months

Real Estate » Listing Coordination

Experience: Less than 6 months

Office and Administration » Google Workspace

Experience: 5 - 10 years

Creation and maintenance of reports using Google Sheets and Google Docs

Accounting » Quickbooks

Experience: Less than 6 months

Real Estate » Commercial Real Estate

Experience: Less than 6 months

Basic Information

Age: 43

Gender: Female

Website: Sign Up with Pro Account to View

Address: Baguio City, Benguet

Tests Taken: IQ
Score: 101: DISC
Dominance: 35%
Influence: 28%
Steadiness: 30%
Compliance: 7%: English
C2(Advanced/Mastery)

Government ID: Sign Up with Pro Account to View

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BENCHMARKS

Loading Time: Base Classes	0.0009
Controller Execution Time ( Jobseekers / Info )	0.0566
Total Execution Time	0.0581

GET DATA

No GET data exists

MEMORY USAGE

1,641,696 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/410146

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0439 seconds) (Show)

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0.0007	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0008	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

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