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Labellerr

Data labeling and annotation platform with auto-labeling for images, video, text and LLM/RLHF training data.

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US Est. 2019 Active AI API / SDK for Developers

Our Verdict

Pragmatic labeling choice if price matters and your datasets aren't at hyperscale.

Pros

  • Auto-labeling speeds up high-volume datasets
  • Covers image, video, text and RLHF in one tool
  • Competitive pricing vs big-name rivals

Cons

  • UI and reliability not quite Scale/Labelbox polish
  • Smaller ops team for massive projects
  • Advanced workflows need manual configuration
Best for: Mid-size ML teams labeling multi-modal data on a budget Not for: Foundation labs with billion-example RLHF operations

When to Use Labellerr

Good fit if you need

  • Managing end-to-end data labeling workflows for ML teams
  • Running AI-assisted annotation to reduce manual labeling effort
  • Tracking annotator quality and dataset consistency over time
  • Building active learning pipelines to prioritize impactful labels

Labellerr Pricing

Pricing Model
freemium
Free Tier
Yes
Entry Price
β€”
Enterprise Available
No
Transparency Score
β€”

Beta β€” estimates may differ from actual pricing

1,000
1001K10K100K1M

Estimated Monthly Cost

$25

Estimated Annual Cost

$300

Estimates are approximate and may not reflect current pricing. Always check the official pricing page.

Lock-in Assessment

Medium 3/5
Lock-in Score
3/5

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