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MLDataLabeler

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Dartmouth College

MLDataLabeler Ratings

Workers feel this requester pays fairly

Good Communication

Approves Slowly

No Rejections

No Blocks
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MLDataLabeler Wage History

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Top Worker Reviews

JensenIsHere Fast Reader
Image classification task - $0.01

Unrated

Unrated

Approved

$18.00 / hour

00:00:02 / completion time

Pros

Penny HITs that pay. You have to classify a short string of text by some criteria. For example, you may have to look for spaces before and after the text, or decide if it is punctuation or not. It's really easy. And thanks to their formatting, it only takes a few keystrokes and half a second to do each HIT. As long as you have a fast computer and a solid internet connection, you should have no problem making these pay.

Great for new Turkers because it builds up numbers while still paying well, unlike all of those terrible receipt transcription HITs. I got over 1000 HITs in under two hours, no problem.

Cons

You could very realistically hit the 3800 HIT/day cap while doing these...and only have $38 to show for it, too. Not good if you plan on Turking all day!
Jul 22, 2019 | 8 workers found this helpful.
hvnnvr Average Pace
What do you see: a Musical Instrument a Fruit a Cheetah a Tiger a Snowman? - $0.01

Good

Unrated

Pending

$12.00 / hour

00:00:03 / completion time

Pros

The usual MLDataLabeler HIT consisting of image classification by identifying the item within the image.

An interesting combination of items to identify from within the image (Musical Instrument / Fruit / Cheetah / Tiger / Snowman)

Bonus content for an inappropriate snowman idea if it would ever snow here enough to build a snowman.

Cons

Nearly all MLDataLabeler HITs have a five day approval time frame.

Requester post the same HITS under different Group IDs, and under multiple Requester IDs: (A1LWCCSJWAGBW / A3OO8KUVWDSZPV / AGDU89ZM13M8C)
Jan 14, 2019 | 3 workers found this helpful.
hvnnvr Average Pace
Image categorization - $0.01

Fair

Unrated

Pending

$9.00 / hour

00:00:04 / completion time

Pros

Review the image of a face and choose the most appropriate emotion from the following categories; Happy, Confused, Angry, Disgusted, Surprised, Sad, Calm, Unsure, and Nonface.

HIT is completed and submitted within the mturk iframe using integrated key binds for selecting the appropriate emotion.

Cons

Approval time is ~5 days.
Jan 23, 2019 | 2 workers found this helpful.