Spare5 (Scale AI) Review 2026: Image Annotation Earnings, Qualification & Task Availability

If you're looking for a way to earn money by tagging images, drawing bounding boxes, or classifying data for artificial intelligence, you've probably heard of Spare5. Originally a standalone microtask platform, Spare5 was acquired by Scale AI, one of the biggest names in data labeling. But what does that mean for workers in 2026? Is Spare5 still active, and does it pay better than Remotasks or Appen?

In this honest review, we'll cover everything you need to know: task types available (image annotation, text classification, audio transcription), how to pass the qualification assessments, real earnings per task and per hour, payment schedules, task availability by region (US vs international), and a direct comparison with competing platforms. By the end, you'll know if Spare5 is worth your time or if you should focus on other AI training platforms.

What Is Spare5 (Scale AI) in 2026?

Spare5 was originally a microtask platform launched in 2014, focusing on "five-minute tasks" like image tagging, data categorization, and transcription. In 2018, Scale AI acquired Spare5 to expand its workforce for high‑volume data labeling. Since then, Spare5 has operated under the Scale AI umbrella, but the platform remains accessible via the Spare5 mobile app and web interface (though many tasks have migrated to Scale's main platform).

In 2026, Spare5 is still active, but task volume has fluctuated. It's not the primary brand for Scale AI anymore — most new workers are directed to Scale's dedicated annotation tools. However, existing Spare5 users and those who download the app can still find paid annotation tasks, especially for computer vision projects (bounding boxes, polygon segmentation, image classification).

Compared to other microtask platforms, Spare5 is known for its gamified interface and relatively low pay per task, but it can be a starting point for beginners who want to learn data annotation before moving to higher‑paying platforms like Appen or Remotasks.

Task Types: Image Annotation, Text & Audio Tasks

Spare5 offers a variety of microtasks, but the majority are related to image and video annotation for training AI models. Here's a breakdown of common task categories in 2026:

• Image Annotation: Drawing bounding boxes around objects (cars, pedestrians, products), polygon segmentation (outlining irregular shapes), landmark annotation, and image classification (e.g., "does this image contain a dog?").
• Text Categorization: Classifying short text snippets (sentiment analysis, topic labeling, entity recognition). These tasks pay less per unit but can be done quickly.
• Audio Transcription: Transcribing short audio clips or verifying existing transcriptions. Not as common as image tasks.
• Video Frame Annotation: Annotating objects across multiple frames in a video (used for autonomous driving and surveillance AI).
• Data Verification: Checking the quality of annotations done by other workers (sometimes called "review tasks").

The majority of available tasks in 2026 are still computer vision‑focused. If you have experience with bounding boxes or segmentation, you'll find more work. New users usually start with simpler image classification tasks before qualifying for higher‑complexity annotation.

Qualification Process: How to Get Approved

Unlike open platforms like MTurk, Spare5 requires you to pass qualification tests for each task type. The process is as follows:

1. Sign up via the Spare5 mobile app (iOS/Android) or web portal. You'll need to provide basic demographic info.
2. Take initial screening tests – these are simple image classification or text tasks to assess your accuracy. You'll need to score above 80–90% to proceed.
3. Qualify for specific task families – after the initial screening, you can attempt individual qualification modules for bounding boxes, segmentation, or transcription. Each module includes a tutorial and a graded test (usually 10–20 items).
4. Maintain quality – once qualified, your work is periodically audited. If your accuracy drops below the threshold (typically 85%), you may be temporarily suspended from that task type.

The pass rate for advanced qualifications (e.g., polygon segmentation) is relatively low – around 30% of testers pass on their first try. However, you can retake after a cooldown period (usually 7 days). Many users report that the key to passing is reading the instructions carefully and practicing on the tutorial tasks multiple times.

For a deeper dive into how to succeed in AI annotation qualifications, check our image annotation job guide.

Real Earnings: How Much Can You Make Per Task and Per Hour?

This is the most important section for anyone considering Spare5. Let's be honest: Spare5 is not a high‑payer. Based on our analysis of user reports and 2026 task data, here are typical earnings:

• Image classification (simple yes/no): $0.01–$0.03 per image. You can process 300–500 per hour → $3–$7/hour.
• Bounding boxes: $0.05–$0.20 per box. Average 100–200 boxes per hour → $5–$10/hour depending on object complexity.
• Polygon segmentation: $0.15–$0.50 per polygon. Slower work (30–60 polygons/hour) → $4.50–$9/hour.
• Text categorization: $0.02–$0.05 per item. Can do 400–600/hour → $8–$12/hour, but tasks are less frequent.
• Video frame annotation: $0.10–$0.30 per frame. Very slow, ~20–40 frames/hour → $2–$8/hour.

Effective hourly earnings most users report: $4–$8 per hour. That's in line with general survey sites, not specialized AI training platforms like Outlier or DataAnnotation.tech (which can pay $14–$20+).

However, Spare5 can be a decent supplemental earner if you have downtime and enjoy annotation work. The best earners focus on text categorization tasks (when available) and maintain very high speed.

Payment Methods, Schedule & Minimum Payout

Spare5 pays via PayPal only (as of 2026). There is no minimum payout threshold – you can request a withdrawal at any time, even for $0.01. This is a major advantage over platforms with high minimums.

Payment processing: once you request a withdrawal, it typically takes 1–3 business days to appear in your PayPal account. No fees are deducted by Spare5 (though PayPal may charge a small fee for currency conversion).

Important: Spare5 does not offer gift cards, direct bank transfer, or crypto. If PayPal is not available in your country, you cannot use Spare5.

For tax purposes, Spare5 will send a Form 1099‑NEC if you earn over $600 in a calendar year (US workers). Keep your own records regardless. See our survey and tasks tax guide for how to report microtask income.

Task Availability by Region: US vs International Workers

One of the biggest complaints about Spare5 is that task availability heavily favors workers in the United States. Here's the reality in 2026:

• US workers: Consistent task volume, especially for image annotation and text categorization. You can usually find work every day, though it may be limited during weekends.
• UK, Canada, Australia: Moderate availability. Fewer tasks than US, but still enough to earn $50–$150/month if you check frequently.
• Europe (non-UK): Low to moderate. Some tasks are restricted due to data privacy laws (GDPR). Text tasks in local languages may appear occasionally.
• Asia, Africa, South America: Very low task availability. Spare5/Scale AI primarily uses workers in these regions through other partners (like Remotasks or Appen). You may see only a handful of tasks per week.

If you're outside the US, we recommend trying Remotasks or Clickworker first, as they have better international coverage. For workers in Nigeria or other African countries, read our AI data labelling guide for region‑specific advice.

Pros & Cons of Spare5

Spare5 vs Remotasks vs Appen: Which Pays More?

Let's stack Spare5 against two major competitors: Remotasks (focused on annotation for autonomous vehicles) and Appen (global AI training projects).

As you can see, Spare5 is at the lower end of the pay spectrum. If you're in the US and can pass harder qualification tests, you should prioritise Remotasks or Appen. For workers outside the US, Appen and Remotasks (and sometimes Clickworker) offer far more consistent tasks. Spare5 is best used as a beginner's training ground or a backup when other platforms are dry.

Read our detailed Remotasks review and Appen review to see if those are better fits.

How to Maximize Your Earnings on Spare5

If you decide to use Spare5, follow these strategies to increase your effective hourly rate:

1. Focus on text categorization tasks when available – they pay $8–$12/hour, the highest on the platform.
2. Use keyboard shortcuts for bounding box tasks (if the interface supports them). Speed is everything.
3. Check the app multiple times per day – tasks are released in batches and disappear quickly.
4. Never rush to the point of making errors. One quality audit failure can lock you out of a task family for weeks.
5. Combine Spare5 with other platforms (e.g., run Spare5 on your phone while waiting for higher‑paying tasks on Remotasks or Appen).
6. Avoid video annotation tasks – the time vs pay ratio is terrible.

For a complete strategy on stacking multiple AI task platforms, see our beermoney routine guide.

Is Spare5 Worth It in 2026? Final Verdict

After reviewing the data and user experiences, here's our honest verdict:

• Worth it if: You're a complete beginner who wants to learn image annotation, you live in the US and have no other microtask options, or you need a no‑minimum payout platform for small earnings ($20–$50/month).
• Not worth it if: You have annotation skills (bounding boxes, segmentation) and can qualify for Remotasks or Appen – those platforms pay 2–3x more. Also not worth it if you're outside the US (task drought).
• Maybe worth it as a supplement: If you already use Prolific or survey sites, Spare5 can fill gaps, but don't rely on it for significant income.

Spare5 is a relic of the early microtask era. Scale AI has largely moved on to enterprise annotation tools, and the platform feels neglected. In 2026, you'll earn more on Outlier, DataAnnotation, or Appen. That said, the lack of a payout minimum is a unique feature that can be useful for casual earners who want to cash out tiny amounts.

For a broader perspective, read our final verdict on surveys and tasks.