OpenTrain vs Scale AI
Side-by-Side Comparison
| Feature | OpenTrain | Scale AI |
|---|---|---|
| Pricing Model | Transparent: 15% marketplace fee or 20% managed fee. No per-task software charges. | Custom enterprise pricing. Per-task fees bundled with platform access. |
| Tooling | Tool-agnostic. Work happens in your tools (Label Studio, CVAT, Labelbox, custom). | Proprietary platform. Data processed inside Scale's infrastructure. |
| Data Ownership | Full ownership. Your data stays in your accounts. OpenTrain never hosts datasets. | Data processed on Scale's servers. Contractual data controls vary. |
| Talent Access | Direct access to 100,000+ pre-vetted specialists. You hire and manage them. | Managed workforce. Limited visibility into individual contributors. |
| Minimum Commitment | No minimums. No contracts. Pay as you go. | Enterprise contracts with minimum commitments typical. |
| Specializations | PhD-level domain experts across 70+ languages and 100+ domains. | Broad coverage with emphasis on autonomous driving and GenAI. |
| Self-Service Option | Yes. Post a job and manage independently. | Primarily managed service model. |
| Setup Time | Qualified candidates within days. No platform migration required. | Onboarding and pipeline setup typically takes weeks. |
Key Differences
Which Is Right for You?
-
You want to use your own annotation tools (Label Studio, CVAT, Labelbox, or custom) - You need transparent, predictable pricing without enterprise contracts
- You want to hire and manage specialists directly
- You need domain experts (medical, legal, multilingual) for LLM evaluation or RLHF
- Data sovereignty is a priority and you need data to stay in your infrastructure
- You need a fully managed, end-to-end data labeling solution with proprietary tooling
- You are working primarily in autonomous driving or computer vision at massive scale
- You prefer a single vendor for both tooling and workforce
- Your organization requires enterprise-grade SLAs with dedicated account management
Frequently Asked Questions
Yes. Since OpenTrain works with your existing tools, switching is straightforward. Post a job on OpenTrain, hire pre-vetted talent, and invite them into the annotation tools you already use. There's no data migration needed because OpenTrain doesn't host your data.
OpenTrain's pricing is transparent: a flat 15% marketplace fee on self-service projects or 20% on managed projects. There are no per-task software fees or platform charges. For many teams, especially those already using their own tools, this results in lower total cost. But pricing depends on your specific requirements — we recommend getting a quote to compare.
Yes. OpenTrain's network includes specialists in point cloud annotation, 3D bounding boxes, and sensor fusion labeling. They can work in tools like CVAT, Supervisely, or your custom pipeline. For large-scale AV projects, our managed service handles recruitment and quality assurance.
With OpenTrain, your data never leaves your infrastructure. Talent works directly in your tool accounts, using your access controls and security policies. OpenTrain provides the talent layer; you control the data layer.