Automated checks miss what people see at a glance. Workers in the countries you choose check your records, labels and listings against sources, images and real places, and tell you what is wrong.
Records checked in batches · Any country · Review every result
200+
Countries
13,487
Tasks completed
195,000+
Registered workers
~4 Hours
Avg time to results
Split your data into small batches, set clear rules and let real people check every record.
Add a numbered batch of records to the task, for example 10 rows with links, labels or addresses.
Numbered batch of recordsLinks, labels or addresses5 to 15 rows per task
Explain what counts as correct, what to compare with and how to mark problems.
Clear verified / wrong / unclearSources to compare withHow to mark problems
Each worker checks the whole batch once and marks every record as verified, wrong or unclear, with a short note.
One submission per workerStatus for every recordShort note on problems
Approve careful submissions, compare answers from several workers and correct the records they flagged.
Approve or reject each batchCompare double checksCorrect flagged recordsIf a person can check it against a source, an image or a place, it can be verified on RapidWorkers.
Is the label, category or transcript correct for this item? Used for cleaning training and test data.
Do the title, price, image and category match the product page? For e-commerce and marketplaces.
Does the business exist, is it open, are the name and address right? For maps, directories and lead lists.
Do links work, does the page contain the stated information? For scraped and aggregated data.
Does the image match its description, is it clear and usable? For media libraries and AI datasets.
Is there really a shop or sign at this place today? A local worker uploads a photo as proof.
Pick the check that matches your data: online sources, visuals, local visits or double review.
Workers open a link or search a public source and compare it with your record.
Workers look at an image, video or document and confirm it matches the label or description.
Workers in a city visit a public place, such as a shop or a street, and upload a photo as proof.
Two or more workers check the same batch independently. You keep the answers they agree on.
Verification tasks cover public business information, products, places and your own datasets — not private individuals.
Verification covers public business information, products, places and your own datasets.
Field checks are for shops, streets and other public locations — never private homes or people.
Tasks that ask workers to look up, visit or contact private individuals are not allowed.
You decide what counts as verified and review every submission before it joins your clean file.
Give a clear definition of verified, wrong and unclear so every worker judges the same way.
Ask for a short note or proof link for every problem found.
Add control records with a known correct answer to spot careless work.
Use two or more workers per batch for important data. Keep batches of 5 to 15 records.
Find wrong labels and broken files before training.
Confirm that prices, links and descriptions are still correct.
Find closed businesses and wrong addresses.
Spot mismatched images, titles and categories.
Confirm that a shop or product display exists in a city.
Confirm companies are real and active online.
Self-serve
Upload batches, set the rules, choose countries and review the results yourself.
Create a verification taskFully managed
We split your data into batches, recruit and manage workers, run double checks and deliver a clean file with every record marked.
Talk to usYou set the pay per task. One submission is one checked batch. Field checks take longer, so set a higher rate for them. The 15% platform fee is included.
It is a service where real people check your data by hand against sources, images or real places, and mark what is correct, wrong or unclear. It catches errors that automated checks miss.
AI dataset labels, product catalogs, business listings, web data, images and public locations. If a person can check it against a source or a place, it can be verified.
Put a small numbered batch of records into each task, for example 10 rows. Each worker checks the whole batch in one submission. For large datasets, create several tasks with different batches, or let our team manage it.
You review every submission and can use two or more workers per batch, keeping only the answers they agree on. Control records with known answers help you spot careless work.
Yes, for public places. Workers in the city you select can visit the location and upload a photo of the storefront or sign as proof.
No. Tasks that ask workers to look up, visit or contact private individuals are not allowed. Verification covers businesses, products, places and your own datasets.
Paste a numbered batch into the task instructions. Remove any personal or confidential information first.
You set the pay for each task, starting from $0.10, plus a 15% platform fee. A campaign starts from $0.30, so you can test a few batches first.
Workers can start as soon as your task is live. Speed depends on batch size, the countries you choose and your pay rate.
Yes. Our team can split your data into batches, manage workers, run double checks and deliver a clean file. Contact us through the form below.
Tell us what data you have, how many records and what needs to be checked. We will help you set up batches and rules.
