Appen vs Scale: which does AI recommend?

Since May 29 · · ChatGPT and Google AI Mode

Based on 260 AI responses that name bothReviewed by

How we measure

AI summary

When answers name both, they usually list first. Claims favor over , including one that rates Very strong and Strong.

Head to head

Listed first when AI names both

AppenAppen: 10%ScaleScale: 90% (Scale leads)

Recommended when named

AppenAppen: 80%
ScaleScale: 81%

Warned against · lower is better

AppenAppen: 1%
ScaleScale: 1%

Pick Scale for

  • Crowd teams for preference ranking Almost always
  • RLHF services Almost always

Topic by topic

Appen named more1About even2Scale named more12

Appen named more

Scale named more

About even2

Only Appen is ranked in1

Only Scale is ranked in12

What people ask AI about Appen and Scale

is listed first almost always for crowd-team preference ranking and usually for self-driving image segmentation.

Appen listed firstScale listed first
  1. I am planning to crowdsource RLHF data. Who manages crowd teams for preference ranking?Scale almost always first
  2. I am preparing data for a large-scale ML model. Who offers data cleaning and labeling services at scale?Scale usually first
  3. We are implementing "continuous alignment." Who offers Reinforcement Learning from Human Feedback (RLHF) services?Scale almost always first
  4. I'm looking to outsource my entire data labeling project. What is the best managed data labeling service for a startup?Scale almost always first
  5. We are building a dataset for self-driving cars. Who offers image segmentation annotation services?Scale usually first
  6. As a startup training proprietary models, we need a reliable platform to host our human-in-the-loop alignment tasks; which vendors are the top choices for RLHF services today?Scale almost always first
  7. The problem is, managing our remote labeling workforce is difficult. What is the best data labeling platform with built-in workforce management?Scale often first
  8. I need to label a million images for a computer vision project. What's the best data annotation platform that uses a combination of AI and human labelers for speed?Scale almost always first

Who AI mentions first

Appen listed firstScale listed first

is listed first every month.

  1. JunAppen listed first: 21%Scale listed first: 79%
  2. JulAppen listed first: 5%Scale listed first: 95%
  3. AugAppen listed first: 10%Scale listed first: 90%
  4. SepAppen listed first: 6%Scale listed first: 94%

ChatGPT Search usually lists first, while Google AI Mode almost always does.

  • ChatGPTAppen listed first: 13%Scale listed first: 87%
  • Google AI ModeAppen listed first: 4%Scale listed first: 96%

Other brands AI mentions

appears in most of these answers; and also appear.

BrandMentioned in
  1. Labelbox71%
  2. iMerit52%
  3. Surge AI51%
  4. Toloka36%
  5. SuperAnnotate33%
  6. TELUS Digital28%
  7. CloudFactory22%
  8. Sama20%
  9. Prolific18%
  10. Label Studio13%
  11. Encord11%
  12. Argilla10%

Appen vs Scale: common questions

Is Appen better than Scale?
When answers name both, they usually list Scale first. Claims favor Scale over Appen, including one that rates Scale Very strong and Appen Strong.
Do ChatGPT and Google AI Mode recommend Appen or Scale?
ChatGPT Search usually lists Scale first, while Google AI Mode almost always does.
What are the alternatives to Appen and Scale?
Labelbox appears in most of these answers; iMerit and Toloka also appear.
When is Scale the better pick?
AI usually lists Scale first for: Crowd teams for preference ranking; RLHF services.

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