capture program · retail & grocery

AI training jobs for grocery and retail workers. $12 an accepted hour, aisle by aisle.

Stockers, grocery clerks, online-order pickers, and counter staff wear a small chest camera through an ordinary shift. eeko pays $12 for each hour of footage that clears review, separate from what the store pays you. A robot can already roll down an aisle. It cannot face a shelf, judge a bruised apple, or bag eggs so they survive the trip home. Your footage is how it learns.

$12 per accepted hour The store signs first Shoppers blurred No schedule, no quota
Hero image · 840 × 1050

What are AI training jobs for grocery and retail workers?

AI training jobs for grocery and retail workers pay you to record the shift you already work. A camera on your chest captures your hands, the product, and the shelf or counter in front of you while you stock, pick, slice, or bag. The footage becomes training data for the robots and vision systems being built for stores, and eeko pays $12 for every hour of it that a reviewer accepts.

Nothing to learn, nothing to label. A store is one of the hardest places a machine can work: tens of thousands of products in every shape and weight, half of them fragile, and every one of them out of place by lunchtime. The only way to teach a robot the judgment a clerk uses on autopilot is to show it, hour after hour, from the clerk's own eyes.

The program is one of the hands-on tracks on eeko's get paid to train AI hub, and it runs on the same consent and review method as the rest of our data capture practice. Buyers receive the footage through our retail and e-commerce training data line, with a signed record on every clip.

What a morning stocking shift looks like on the record.

An illustrative early shift in a grocery store that has signed up. Camera on at the stockroom door, off at the break room.

// shift-0412.log review.log payout.log
tail -f
05:00 START Clock in, camera clipped to the apron, store agreement on file, floor notice posted at both entrances.Store agreement on file · consent record attached to the session RECORDING
05:04 RECEIVE Overnight delivery broken down in the stockroom: pallets cut, cases sorted to aisles, damaged cartons set aside.Shipping labels blurred at review CLEAN
05:40 STOCK Cereal and canned goods: cases opened, dated stock rotated to the front, shelf faced, cardboard flattened.Exactly the two-handed shelf work buyers ask for CLEAN
06:55 PAUSE Manager conversation about a planogram change. Camera paused, then resumed for the reset.Paused minutes are not counted and not paid PAUSED
07:10 PRODUCE Online orders picked before opening: avocados chosen by feel, substitutions logged, cold items staged last.Order screen blurred at review CLEAN
08:00 OPEN Doors open. Stocking continues on the quiet end of the store; two shoppers pass through frame and are blurred.Store floor is recorded only where the posted notice applies BLURRED
09:30 UPLOAD Camera off at break. 4h 06m uploaded from the break room over store Wi-Fi.Session hashed and timestamped on receipt SENT
+3 days REVIEW 3h 48m accepted; 18 minutes rejected for an out-of-focus stretch while the lens was smudged.$45.60 credited · paid out through Stripe · note: wipe the lens after the cooler PAID

Every job in the store, front and back.

If it involves product, a shelf, a counter, or a cart, somebody is building a machine for it. These roles are open now.

01 / stockingMOST WANTED
Stocking and facing
Cutting cases, filling and fronting shelves, rotating by date, building end caps, and keeping the aisle walkable while you do it.
02 / pickingMOST WANTED
Online-order picking
Working a pick list through the store, choosing produce a customer would choose, handling substitutions, staging cold and frozen last, and handing off.
03 / checkoutWHERE SET UP
Cashier and bagging
Scanning, weighing, and bagging heavy under light and cold with cold. Recorded only in stores that have arranged checkout capture with signage and sign-off.
04 / countersOPEN
Deli, bakery, meat, and seafood
Slicing to a requested thickness, wrapping and weighing, boxing a cake, filleting, and the sanitizing routine between orders.
05 / stockroomOPEN
Stockroom and receiving
Breaking down deliveries, sorting to aisle, backstock, bailing cardboard, and checking counts against the invoice.
06 / merchandisingOPEN
Merchandising and resets
Planogram resets, price changes, tagging, folding and hanging apparel, and rebuilding a display after a weekend.

The store agrees in writing. Shoppers never become data.

Retail is public-facing, so this program is built around when and where you record, and around removing anyone who was not part of the agreement.

Stocking image · 800 × 1000
Quiet hours — stocking and resets are recorded before open or overnight.
Store notice image · 800 × 1000
Posted — the store signs a written agreement and puts up a notice.
Blurred shopper image · 800 × 1000
Blurred — people, payment screens, and receipts, before any clip is shared.

The store or chain signs, not you

Nothing is recorded on the floor until the operator has put its agreement in writing. We almost always enroll the store itself, so coworkers join under the same agreement and nobody negotiates with a manager alone. Chains can mark departments or stores off limits.

You hold the pause button

A customer question, a word with a supervisor, a break, a phone call: pause, and resume when you are back on task. Minutes you do not record are not reviewed or paid, and nobody asks why.

Licensed to named buyers only

Clips go to vetted AI and robotics organizations under a written license, with your consent record attached to each one. They are never published or put on an open marketplace. Each item carries the fingerprint and provenance record described on our verified human data page.

Get paid to train AI as a retail worker: the arithmetic.

Itemized payout image · 1200 × 900
Every upload comes back itemized: what passed, what did not, and why.

Accepted hours, not scheduled hours

  • $12 per accepted hour — counted on the footage a reviewer passes. Expect 70% to 85% of your uploads to get through once your setup is right.
  • A realistic week — ten recorded hours, eight accepted, $96. Thirty recorded hours at the same rate is roughly $288.
  • On top of your wages — the store still pays you exactly as it does today. This is a separate payment for the recording, and it is not a wage.
  • First hour guaranteed — your first genuine hour after onboarding is paid even if it fails, and you get a note on what to change.
  • Paid through Stripe — reviewed inside a few days, credited to your balance, paid out automatically.
  • Your own camera — a phone or action camera on a chest mount. eeko does not ship equipment but checks yours before you record.
  • Each task paid once — re-uploads and the same simple task repeated all shift are turned down.

Run a store or a chain? Say so in the form. Stores enroll as a group, every associate is paid for their own accepted hours, and eeko handles the notice and consent paperwork for everyone.

Join the retail and grocery capture program.

Two minutes. A person on the eeko data team reads it and replies within one business day. Recording starts only after the onboarding call and the store's written agreement.

$12 per accepted hour · nothing to buy · stop any time
[ received ]

Got it. A person will be in touch.

Someone on the eeko data team replies within one business day with whether the program fits your store and what happens on the onboarding call. You can also reach us at thomas@eeko.systems.

Retail AI training jobs, asked often.

How much can a grocery or retail worker make training AI?

$12 for every hour of footage a reviewer accepts, paid separately from your store wages. Breaks and unrecorded register time are not counted, and about 70% to 85% of what people upload in this program passes. A realistic week of ten recorded hours with eight accepted pays $96; thirty recorded hours at the same rate is around $288. There is no cap and no minimum.

Do shoppers end up on camera?

As little as possible, and never recognizably. The store signs a written agreement and puts up a notice, and you are asked to record stocking, facing, and backroom work during quiet hours, early mornings and overnight resets being ideal. Any shopper, coworker, payment screen, or receipt that still lands in frame is blurred before a clip is shared. Checkout is recorded only in stores that have set it up deliberately, with signage and sign-off.

Does my store manager have to approve this?

Yes. A store is private premises, so nothing is recorded until the store or the chain has agreed in writing. We prefer to enroll the whole store rather than one associate, so you are not the one asking a manager for a favor, and every coworker who wants to record can. If you would like us to approach your store, say so in the form.

What camera do I wear in a store?

Your own phone or action camera on a chest mount over your apron or vest, with no trailing cables. Store lighting is bright and even, which makes retail some of the cleanest footage we get. We do not supply equipment, but on the onboarding call we check what you have and show you the angle that keeps shelves, product, and your hands in frame.

What counts as an accepted hour of footage?

An hour a reviewer on the eeko data team has watched and found usable: real store work from your point of view, sharp enough to follow, recorded under the store's written agreement, and not a repeat of a task you already uploaded. Every upload comes back itemized, with a reason next to anything that did not pass, so most people pass 80% acceptance within a couple of shifts.

Is this a wage, and do I have to commit to hours?

It is not a wage and we do not want it mistaken for one. Your employer pays you as before; eeko pays extra, at $12 per accepted hour, under a short participation agreement covering consent and payment. No schedule, no quota, no exclusivity, and you can stop whenever you like. Your first recorded hour is paid in full whether or not it passes, provided it is a real attempt at your usual work after onboarding.

What is the footage used for, and who gets it?

Training and testing robots and AI systems for stores and fulfillment: how a person breaks down a case, faces a shelf, picks produce for an online order, or bags so nothing is crushed. Vetted AI and robotics organizations license it from eeko under a written agreement, with your consent record attached to every item and identifying details blurred first. It never appears publicly and is never sold on an open marketplace.

Same shift. Second paycheck.

Clip on a camera before the doors open, work the aisle, upload at break. $12 for every accepted hour, the store's agreement handled by us, shoppers blurred, and a real person replying within one business day.

Experienced within

  • SOC 2 Type II
  • ISO 27001
  • HIPAA
  • HITRUST r2
  • ISO 27701
  • PCI DSS
  • NIST CSF 2.0
  • CMMC
  • FedRAMP
  • GDPR

Markets served.

As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets:

New York City, New York (NY)

Los Angeles, California (CA)

Chicago, Illinois (IL)

Houston, Texas (TX)

Phoenix, Arizona (AZ)

Philadelphia, Pennsylvania (PA)

San Antonio, Texas (TX)

San Diego, California (CA)

Dallas, Texas (TX)

San Jose, California (CA)

Austin, Texas (TX)

Jacksonville, Florida (FL)

Fort Worth, Texas (TX)

Columbus, Ohio (OH)

Charlotte, North Carolina (NC)

Indianapolis, Indiana (IN)

San Francisco, California (CA)

Seattle, Washington (WA)

Denver, Colorado (CO)

Washington, District of Columbia (DC)

Boston, Massachusetts (MA)

El Paso, Texas (TX)

Nashville, Tennessee (TN)

Detroit, Michigan (MI)

Oklahoma City, Oklahoma (OK)

Portland, Oregon (OR)

Las Vegas, Nevada (NV)

Memphis, Tennessee (TN)

Louisville, Kentucky (KY)

Baltimore, Maryland (MD)

Milwaukee, Wisconsin (WI)

Albuquerque, New Mexico (NM)

Tucson, Arizona (AZ)

Fresno, California (CA)

Sacramento, California (CA)

Kansas City, Missouri (MO)

Atlanta, Georgia (GA)

Miami, Florida (FL)

Colorado Springs, Colorado (CO)

Raleigh, North Carolina (NC)

Omaha, Nebraska (NE)

Long Beach, California (CA)

Virginia Beach, Virginia (VA)

Oakland, California (CA)

Minneapolis, Minnesota (MN)

Tulsa, Oklahoma (OK)

Arlington, Texas (TX)

New Orleans, Louisiana (LA)

Wichita, Kansas (KS)

Cleveland, Ohio (OH)

Tampa, Florida (FL)

Bakersfield, California (CA)

Aurora, Colorado (CO)

Honolulu, Hawaii (HI)

Anaheim, California (CA)

Santa Ana, California (CA)

Corpus Christi, Texas (TX)

Riverside, California (CA)

Lexington, Kentucky (KY)

St. Louis, Missouri (MO)

Stockton, California (CA)

Pittsburgh, Pennsylvania (PA)

Saint Paul, Minnesota (MN)

Cincinnati, Ohio (OH)

Greensboro, North Carolina (NC)

Anchorage, Alaska (AK)

Plano, Texas (TX)

Lincoln, Nebraska (NE)

Orlando, Florida (FL)

Irvine, California (CA)

Newark, New Jersey (NJ)

Toledo, Ohio (OH)

Durham, North Carolina (NC)

Chula Vista, California (CA)

Fort Wayne, Indiana (IN)

Jersey City, New Jersey (NJ)

St. Petersburg, Florida (FL)

Laredo, Texas (TX)

Madison, Wisconsin (WI)

Chandler, Arizona (AZ)

Buffalo, New York (NY)

Lubbock, Texas (TX)

Scottsdale, Arizona (AZ)

Reno, Nevada (NV)

Glendale, Arizona (AZ)

Gilbert, Arizona (AZ)

Winston-Salem, North Carolina (NC)

North Las Vegas, Nevada (NV)

Norfolk, Virginia (VA)

Chesapeake, Virginia (VA)

Fremont, California (CA)

Garland, Texas (TX)

Richmond, Virginia (VA)

Baton Rouge, Louisiana (LA)

Boise, Idaho (ID)

San Bernardino, California (CA)

Spokane, Washington (WA)

Des Moines, Iowa (IA)

Modesto, California (CA)

Birmingham, Alabama (AL)

Tacoma, Washington (WA)

Fontana, California (CA)

Oxnard, California (CA)

Fayetteville, North Carolina (NC)

Huntsville, Alabama (AL)

Moreno Valley, California (CA)

Rochester, New York (NY)

Glendale, California (CA)

Yonkers, New York (NY)

Augusta, Georgia (GA)

Amarillo, Texas (TX)

Little Rock, Arkansas (AR)

Akron, Ohio (OH)

Shreveport, Louisiana (LA)

Grand Rapids, Michigan (MI)

Mobile, Alabama (AL)

Salt Lake City, Utah (UT)

Huntsville, Texas (TX)

Tallahassee, Florida (FL)

Overland Park, Kansas (KS)

Knoxville, Tennessee (TN)

Worcester, Massachusetts (MA)

Brownsville, Texas (TX)

New Port Richey, Florida (FL)

Jackson, Mississippi (MS)

Providence, Rhode Island (RI)

Fort Lauderdale, Florida (FL)

Sioux Falls, South Dakota (SD)

Tempe, Arizona (AZ)

Cape Coral, Florida (FL)

Springfield, Missouri (MO)

Pembroke Pines, Florida (FL)

Eugene, Oregon (OR)

Peoria, Arizona (AZ)

Corona, California (CA)

Lancaster, California (CA)

Rockford, Illinois (IL)

Salinas, California (CA)

Palmdale, California (CA)

Springfield, Massachusetts (MA)

Charleston, South Carolina (SC)

Duluth, Minnesota (MN)

London, England (ENG)

Dublin, Ireland (IRE)