Part-Time Retail Data Collection Associate - Portland, OR (Drivi

LXT; United States; On-site; USD 11,000 - 15,000; Part time

Benefits offered by this job

Mileage reimbursement

Travel time paid

Job summary

AI Trainer Jobs is seeking a part-time Field Data Collector to visit retail stores across the Portland metro area, capturing shelf images and ensuring data quality.

You will drive between stores (~9 miles apart) and complete about 50 visits per month within defined time windows. Training is provided; compensation is $22.00 per hour, with travel time and mileage reimbursement.

Qualifications

• Must be at least 18 years old.
• Must have a valid driver's license and reliable personal vehicle.
• Smartphone (iOS or Android) capable of running the required application.
• Reliable internet access through Wi-Fi or mobile data.
• Ability to stand and walk for extended periods.
• Navigate retail environments independently.
• Strong attention to detail and ability to follow structured instructions.
• Oregon ZIP codes listed for residency and work area.

Responsibilities

• Drive between multiple store locations within the defined service area.
• Visit approximately 50 stores per month.
• Capture high-quality, complete images of product shelves following predefined plans.
• Ensure data meets quality standards (full shelf coverage, straight-on photos, clear images).
• Upload data promptly after visits and report any issues (inaccessible stores, app issues).
• Complete training before fieldwork and maintain performance via quality checks.

Skills

Driving

Attention to detail

Independent work

Mobility/standing

Tools

Mobile app usage

Job description

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, up to approximately 15 hours per week
Work is ongoing but project-based, typically 2–3 active work 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
This role does not guarantee a minimum number of weekly or monthly hours. Hours depend on project availability and assignment volume.

Compensation & Pay Transparency

Hourly Rate: $22.00 per hour
Pay Type: Hourly, non-exempt; eligible for overtime in accordance with applicable law.

Paid Time Includes:

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

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 during the workday
Smartphone (iOS or Android) capable of running the required application
Reliable internet access through Wi-Fi or mobile data
Ability to stand and walk for extended periods
Ability to navigate retail environments independently
Strong attention to detail and ability to follow structured instructions
Oregon applicants should reside in or near one of the following ZIP codes:

97005, 97007, 97008, 97051, 97056, 97060, 97080, 97086, 97123, 97140, 97201, 97203, 97209, 97210, 97215, 97219, 97223, 97229, 97236.

The service area primarily covers the Portland metropolitan area and surrounding Oregon communities.

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