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LXLXT logo

LXT

New York City

Part-Time Retail Data Collection Associate (Driving Role).

PART TIMEREMOTEPEOPLE & OPS

LXT is an emerging leader in AI training data to power intelligent technology for global organizations. In partnership with an international network of contributors, LXT collects and annotates data across multiple modalities with the speed, scale and agility required by the enterprise. Our global expertise spans over 145 countries and coverage for more than 1000 language locales. Founded in 2010, LXT is headquartered in Toronto, Canada with presence in the United States, UK, Egypt, Turkey and Australia. The company serves customers in North America, Europe, Asia Pacific and the Middle East. Learn more at lxt.ai.



Job Summary

We are hiring part-time Retail Data Collection Associates to conduct in-store data collection across multiple retail locations within a designated territory. This is a field-based position requiring regular driving between stores and adherence to a structured visit schedule. 

Associates will use a mobile application to capture high-quality images of product shelves for data analysis. Work is project-based but ongoing, with variable hours (<30 hours/week) and typically 2–3 active work weeks per month. 

All associates must successfully complete required training and onboarding certification before beginning fieldwork.



Employment Type 

  • Part-time employee (less than 30 hours per week) 
  • Employed through an Employer of Record (EOR) 
  • Hourly, non-exempt position 
  • Ongoing role, with work assigned on a recurring, project-based basis

Key Responsibilities 

  • Drive to and visit assigned retail store locations within your designated territory  
  • Typical distance between stores: up to ~9 miles apart 
  • Complete approximately ~50 store visits per month (subject to project scope) 
  • Execute store visits using a mobile app to:  
  • Follow assigned visit plans (pre-determined locations and timing) 
  • Capture high-quality, complete images of product shelves 
  • Ensure all data meets quality standards:  
  • Full shelf coverage (top-to-bottom, left-to-right) 
  • Straight-on alignment (no angled photos) 
  • Clear, non-blurry images 
  • Follow task structure requirements (category-based collection rules) 
  • Upload data promptly after completing visits 
  • Report issues such as:  
  • Closed or inaccessible stores 
  • Missing or unclear assignments 
  • Technical/app issues

Work Schedule & Structure 

  • Part-time, less than 30 hours per week 
  • Work is ongoing but project-based, typically 2–3 weeks per month 
  • Daily work consists of driving between multiple stores within a defined service area 
  • Visits must be completed within assigned time windows and deadlines

Compensation & Pay Transparency 

  • Hourly Rate: $24.00  per hour . 
  • Pay Type: Hourly (non-exempt; eligible for overtime in accordance with applicable law) 

Paid Time Includes:  

  • Time spent performing in-store tasks 
  • Travel time between assigned store locations during the workday

**This role does not guarantee a minimum number of weekly or monthly hours. Hours are dependent on project availability and assignment volume.

Travel, Mileage & Reimbursement 

  • Associates are expected to drive their personal vehicle between assigned store locations 
  • Typical store routes are geographically grouped, with locations generally within ~9 miles of each other 
  • Travel time between stores is compensated as hours worked 
  • Mileage reimbursement is provided where required by applicable law or contract terms  
  • If applicable, reimbursement will be aligned with standard business mileage rates or state-specific requirements 
  • Employees are responsible for
    maintaining: 
     
  • Valid driver’s license 
  • Insurance coverage as required by law

Training & Onboarding 

  • Completion of mandatory training is required prior to being scheduled for fieldwork 
  • Training includes:  
  • Mobile app usage 
  • Image capture standards 
  • Task and quality requirements 
  • Associates must demonstrate ability to meet quality standards before being placed into production 
  • Ongoing performance is monitored through quality checks and feedback

Minimum Requirements 

  • Must be at least 18 years old 
  • Must have a valid driver’s license and reliable personal vehicle 
  • Willingness and ability to drive between multiple retail locations daily 
  • Smartphone (iOS or Android) capable of running required application 
  • Reliable internet access (Wi-Fi or mobile data) 
  • New York city (Manhattan), NY, United States (Applicants must reside in one of the following ZIP codes: 10002, 10003, 10009, 10011, 10025, 10023, 10024)

Ability to:  

  • Stand and walk for extended periods 
  • Navigate retail environments independently 
  • Strong attention to detail and ability to follow structured instructions

Preferred Qualifications 

Prior experience in:  

  • Retail merchandising 
  • Field data collection, auditing, or mystery shopping 
  • Experience in route-based or multi-location work environments 
  • Familiarity with grocery or retail store layouts

Work Environment 

-Field-based role in retail store environments (grocery, pharmacy, convenience stores) 

-Frequent driving between locations is required 

-Work performed independently with minimal supervision 

-Interaction with store personnel and customers may occur

Performance Expectations 

-Completion of assigned monthly store volume (~50 stores) 

-Adherence to visit schedules and deadlines 

-Consistent delivery of high-quality, usable data 

-Full completion of required tasks before submission 

-Timely upload of all collected data

Additional Role Requirements 

-Work must be completed on the same device used to start each visit 

-Store visits are pre-assigned and cannot be modified by associates 

-Associates may be required to revisit stores if quality standards are not met



For more information about LXT please visit our site: https://www.lxt.ai/

Pay
Not stated
Where
New York City · Manhattan · New York
Work
Remote
Type
Part time
Posted
8 Jul, 2026
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