Log inSign up free
  • Home
  • Profile
  • Jobs
    • Applications
    • Career
    • Resume
    • Cover letters
  • Content
    • Posts
    • Media
  • Messages
  • Analytics
    • Overview
    • Pages
  • Portfolio
  • More tools
    • Hiring
  • Settings
All jobs
PAPanoptyc logo

Panoptyc

Philippines

Associate Theft Investigator.

FULL TIMEREMOTEDATA & ML

About Panoptyc

At Panoptyc, we're on a mission to revolutionize loss prevention. Using visual AI and manual reviewers, we help retailers detect theft in over 15,000 markets across the United States. From Fortune 500 giants to local businesses, our impact is far-reaching. As a fully remote, rapidly growing team, we're excited to invite top talent worldwide to join us in reshaping the future of retail security.

About the Role

We're seeking detail-oriented Associate Theft Investigators to analyze video footage from self-service stores and identify potential theft incidents. This role combines analytical skills with attention to detail to support our mission of reducing retail losses.

Responsibilities

  • Conduct thorough analysis of surveillance footage to identify and document theft incidents

  • Classify and interpret events in video feeds according to established guidelines

  • Process theft reports and maintain accurate documentation

  • Collaborate with team members through internal communication channels

  • Provide customer support and manage operational tasks as needed

  • Update and maintain theft tracking systems

Requirements

  • Strong attention to detail and analytical skills

  • Ability to maintain focus while reviewing video content

  • Excellent written communication skills

Device and Internet Requirements

  • Windows:

    • OS: Windows 10 or 11

    • Processor: Intel i5, i7, or higher / AMD Ryzen 5, 7, or higher

    • RAM: 16gb or higher

    • Storage/Memory: 256gb or higher

  • Apple Mac

    • OS: Ventura (version 13 or higher) / Sonoma (version 14 or higher) / Sequoia (version 15 or higher) / Tahoe (version 26 or higher)

    • Processor: Intel i5 or i7 / Apple M1 chip or higher

    • RAM: 16gb or higher

    • Storage: 256gb or higher

  • Internet Connection

    • 50mbps or higher

Compensation

  • Performance-based pay: averages $60/week once ramped up (starting around $32/week), with top performers earning up to $80/week.

 

Must be able to

  • Attend the 2-day self-paced training program

  • Successfully complete the 2-week nesting period

  • Commit to working a minimum of 20 hours/week

 

Why Join Us?

  • Flexible working hours

  • Full remote setup (WFH)

Pay
Not stated
Where
Philippines
Work
Remote
Type
Full time
Posted
15 Nov, 2024
Apply on the original postingSign in to apply

Unverified board

more at Panoptyc.

9 Sep, 2026

Panoptyc

Independent Field Sales Consultant

PAPanoptyc logo
  • Full time
  • Remote
  • Sales & Marketing

United States

Remote

Details
31 Mar, 2026

Panoptyc

Associate Theft Investigator

PAPanoptyc logo
  • Full time
  • Remote
  • Data & ML

India

Remote

Details
2 Oct, 2026

Panoptyc

Recruiter

PAPanoptyc logo
  • Full time
  • Remote
  • People & Ops

Brazil

Remote

Details

similar roles.

22 Oct, 2026

Umiami

Data Analyst 3

UMUmiami logo
  • Data & ML

Miami, FL

Salary not listed

Details
20 Oct, 2026

Umiami

AI Product Specialist

UMUmiami logo
  • Full time
  • Remote
  • Data & ML

Offsite Remote Work - UHealth IT, United States of America

Remote

Details
13 Jul, 2026

Njit

Hourly Data Analyst

NJNjit logo
  • Part time
  • Data & ML

$25–50/hr

Colton Hall, United States of America

Details
13 Jul, 2026

Njit

Hourly Data Analyst

NJNjit logo
  • Data & ML

$15–20/hr

Guttenberg Information Technologies Center, United States of America

Details
22 Oct, 2026

ABOUT YOU

Senior Data Engineer - Sponsored Content & Products (all genders)

AYABOUT YOU logo
  • Full time
  • Senior level
  • Data & ML

Hamburg, de

Full time

Details
22 Oct, 2026

ABOUT YOU

Senior Data Engineer - Sponsored Content & Products (all genders)

AYABOUT YOU logo
  • Full time
  • Senior level
  • Data & ML

Hamburg, de

Full time

Details