MLS Data Entry Specialist – MLS EXPERIENCE REQUIRED

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

TYPE OF WORK

Full Time

SALARY

800

HOURS PER WEEK

40

DATE UPDATED

Oct 2, 2026

JOB OVERVIEW

IMPORTANT: THIS IS NOT AN ENTRY-LEVEL POSITION.
Please do not apply hoping to be trained from scratch. We are looking for candidates who already have direct MLS listing experience.

You MUST have previous, hands-on experience entering and publishing real estate listings directly into MLS systems.
If you have never personally entered listings into an MLS, please DO NOT apply. General real estate experience, virtual assistant experience, Zillow experience, CRM experience, or general data entry experience does NOT qualify.

We are specifically looking for candidates who can join our team already understanding how MLS data entry works.

What You’ll Be Doing
- Enter and publish property listings across multiple MLS systems and states
- Navigate different MLS platforms efficiently
- Accurately enter property details, remarks, photos, showing instructions, disclosures, and other required information
- Review listings for missing or incorrect information before submission
- Follow individual MLS rules and requirements
- Make listing changes and updates when needed
- Maintain a high level of accuracy while working at a fast pace
- Meet daily productivity goals and deadlines
- Communicate with team leads when information is missing or an MLS issue occurs

MLS EXPERIENCE IS MANDATORY
To be considered, you MUST:
- Have previous hands-on experience entering and publishing listings directly into an MLS
- Be able to identify the MLS platforms you have personally worked with
- Understand the basic MLS listing process from data entry through submission
- Have strong attention to detail and accuracy
- Be comfortable handling a high volume of listings
- Be able to work independently with minimal supervision
- Have reliable attendance and be available for your full scheduled shift
- Have strong English reading comprehension
- Have a reliable computer and internet connection
- Have TWO computer monitors

Again: If you do not have actual MLS data-entry experience, please do not apply. We will verify MLS experience during the interview process.

Position Details
Salary: $650–$900 USD/month, based on MLS experience and performance
Bonuses: Additional performance-based bonuses available
Schedule: Monday–Friday, 9:00 AM–6:00 PM EST with a 1-hour lunch
Location: Remote
Employment Type: Full-time

HOW TO APPLY
Please send the following to ----------
1. Your resume/CV
2. A brief description of your MLS experience
3. The names of the MLS systems/platforms you have personally used
4. How long you have been entering MLS listings
5. Approximately how many listings you handled per day in your previous role

APPLICATIONS THAT DO NOT INCLUDE SPECIFIC MLS EXPERIENCE WILL NOT BE CONSIDERED. Please do not apply hoping to be trained from scratch. We are looking for candidates who already have direct MLS listing experience.

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0010
Controller Execution Time ( Jobseekers / Job )  0.0184
Total Execution Time  0.0201
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,500,832 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/MLS-Data-Entry-Specialist-MLS-EXPERIENCE-REQUIRED-1742516
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0101 seconds)  (Hide)
0.0005   SELECT *
                                
FROM exrates
                                WHERE rate_name 
= 'USD-PHP' 
0.0005   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1742516
 LIMIT 1 
0.0005   SELECT *
FROM `employers`
WHERE `employer_id` = 739629
 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` = 1742516
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('2026-10-03',ej.date_added) duration_days, DATEDIFF('2026-10-03',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('2026-10-03',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1742516' 
0.0007   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1742516 
0.0018   UPDATE employer_jobs SET hit_counts = '***Oct-02-2026=889***Oct-03-2026=207' WHERE job_id= '1742516'  
0.0009   UPDATE employer_jobs SET monthly_hits = '***Oct-2026=1092' WHERE job_id= '1742516'  
0.0010   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1742516' AND status LIKE 'sent%' ORDER BY id DESC  
0.0009   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1742516 
0.0005   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '739629'
AND `date_added` >= '2022-06-08' 
0.0009   select * from teasers 
0.0003   SELECT * FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)