Current Employment Status:
Hired Part Time on Jun 17, 2026

Mariz

Data Annotator and Data Entry specialist

Verified

With Timeproof

mark as hired

Overview

Looking for full-time work (8 hours/day)

at $2.49/hour ($480.00/month)

Bachelors degree

Last Active

June 27th, 2026 (11 days ago)

Member Since

February 23rd, 2020

Profile Description

Detail-oriented professional with 4 years of office experience and 4 years of freelance data annotation experience. Skilled in data annotation, data entry, invoice processing, bank reconciliation, collections management, and administrative support. Experienced in maintaining accurate records, processing financial documents, and ensuring data quality through careful review and verification. Proficient in Microsoft Excel, Google Workspace, and various annotation tools. Known for strong attention to detail, accuracy, adaptability, and the ability to follow complex guidelines while meeting deadlines. Based on your resume, you have experience in both finance-related office work and AI data annotation projects.

Top Skills

Office and Administration » Microsoft Excel

Experience: 2 - 5 years

Office and Administration » Data Entry

Experience: 2 - 5 years

Other Skills

Office and Administration » Data Collection » Skip Tracing

Experience: 1 - 2 years

Accounting » Bookkeeping

Experience: Less than 6 months

Basic Information

Age: 29

Gender: Female

Website: Sign Up with Pro Account to View

Address: Mandaluyong City, Metro Manila

Tests Taken: None

Government ID: Sign Up with Pro Account to View

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BENCHMARKS

Loading Time: Base Classes	0.0008
Controller Execution Time ( Jobseekers / Info )	0.0278
Total Execution Time	0.0292

GET DATA

No GET data exists

MEMORY USAGE

1,593,488 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/1051790

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0185 seconds) (Show)

0.0004	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0009	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '1051790' LIMIT 1
0.0030	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '1051790'
0.0009	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '1051790'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '1051790' AND `is_private` = 1
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0.0002	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 1051790 LIMIT 1`
0.0009	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 1051790 LIMIT 1`
0.0006	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '1051790' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
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0.0003	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0019	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '1051790'
0.0025	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0015	SELECT `jsct`., `jsct`.`id` as `jsct_id`, `sct`. FROM `jobseekers_skills_categories` `jsct` LEFT JOIN `skills_categories` `sct` ON `sct`.`id` = `jsct`.`skill_category_id` WHERE `sct`.`is_approved` = 1 AND `jsct`.`jobseeker_id` = '1051790' ORDER BY `jsct`.`rate` DESC
0.0004	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '1051790'
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0003	`select * from teasers`
0.0003	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
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0.0002	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0001	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

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honeypot	Array ( [name_field] => my_name [enabled] => 1 )

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HTTP_CONNECTION	Upgrade
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SERVER_NAME	v1.stage.onlinejobs.ph
REMOTE_ADDR	127.0.0.1
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HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
REQUEST_METHOD	GET
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SERVER_PROTOCOL	HTTP/1.1
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HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.216.196
HTTP_DNT