Amazon SageMaker Ground Truth
- Vendor
- Amazon Web Services, Inc.
- Also known as
- amazon-sagemaker-ground-truth
Available worldwide
What is Amazon SageMaker Ground Truth?
A machine learning service that enables organizations to improve generative AI model performance by incorporating human feedback throughout the model lifecycle. It helps transform generic AI models into production-ready solutions optimized for specific business requirements through collaborative fine-tuning, testing, and expert support.
Amazon SageMaker Ground Truth pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Pay-as-you-go model with no minimum commitment or upfront fees. Free tier included for most components. Amazon Q Developer charged at fixed rate per user/month. SageMaker Catalog charges per GB, API requests, and compute units after free allotment.
SageMaker AI - Pay-as-you-go
FreeUsage-based pricing for compute, storage, data processing, and model operations
- free_monthly
- AWS Free Tier for SageMaker notebooks, API requests, and metadata storage
- Instance usage for training and hosting
- Storage (EBS volumes, S3)
- Data processing jobs
- Model deployment
- MLOps via SageMaker Pipelines and Model Monitor
Amazon Q Developer
Fixed monthly cost for AI-assisted development and analysis features
- Code generation and testing
- Security scanning
- Resource optimization
- Data integration support
- Natural language query support
SageMaker Catalog
FreePay-as-you-go for metadata management, data discovery, and asset ingestion
- api_requests
- 4,000 free per month
- compute_units
- 0.2 free per month
- metadata_storage
- 20 MB free per month
- Metadata storage and management
- API requests for data access
- Automatic asset ingestion from data sources
- Scheduled synchronization
- AI-generated business descriptions
What Amazon SageMaker Ground Truth does
The capabilities that matter for data labeling, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Model assisted labeling
- ✓
- Programmatic labeling
- -
- Rlhf preference data
- -
- On prem private cloud
- ✗
- Open source
- ✗
- SOC2
- -
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
Integrations (15)
Independently observed- Amazon S3
- Amazon Redshift
- AWS Glue
- Amazon Athena
- Amazon EMR
- Amazon MWAA
- JupyterLab
- Amazon Bedrock
- SageMaker Pipelines
- SageMaker Model Monitor
- SageMaker Feature Store
- SageMaker Data Wrangler
- Amazon Q
- CloudWatch
- CloudTrail
Security & compliance
Independently observed- PCI-DSSactive
- HIPAA/HITECHactive
- FedRAMPactive
- FIPS 140-3active
Amazon SageMaker Ground Truth FAQ
Common questions about Amazon SageMaker Ground Truth, answered from independent, dated evidence.
What is Amazon SageMaker Ground Truth?
A machine learning service that enables organizations to improve generative AI model performance by incorporating human feedback throughout the model lifecycle. It helps transform generic AI models into production-ready solutions optimized for specific business requirements through collaborative fine-tuning, testing, and expert support. It is indexed under Data Labeling.
Source: https://aws.amazon.com/sagemaker/pricing/?nc2=h_pr_sgm
Is Amazon SageMaker Ground Truth free?
Amazon SageMaker Ground Truth offers a free tier, so you can start without paying. Paid plans are also available: SageMaker AI - Pay-as-you-go, Amazon Q Developer and SageMaker Catalog. Pricing changes often, so verify at source before relying on it.
Source: https://aws.amazon.com/sagemaker/pricing/?nc2=h_pr_sgm
What platforms does Amazon SageMaker Ground Truth support?
Amazon SageMaker Ground Truth supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://aws.amazon.com/sagemaker/pricing/?nc2=h_pr_sgm
Can Amazon SageMaker Ground Truth be self-hosted?
We have only confirmed a cloud / SaaS deployment for Amazon SageMaker Ground Truth, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.
Source: https://aws.amazon.com/sagemaker/pricing/?nc2=h_pr_sgm
What does Amazon SageMaker Ground Truth integrate with?
We have confirmed 15 integrations for Amazon SageMaker Ground Truth, including Amazon S3, Amazon Redshift, AWS Glue, Amazon Athena, Amazon EMR, Amazon MWAA, JupyterLab and Amazon Bedrock, plus 7 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://aws.amazon.com/sagemaker/pricing/?nc2=h_pr_sgm
What security certifications does Amazon SageMaker Ground Truth have?
We have independently confirmed HIPAA and GDPR for Amazon SageMaker Ground Truth. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Amazon SageMaker Ground Truth not holding them. Always confirm compliance directly before you rely on it.
Amazon SageMaker Ground Truth alternatives
Other data labeling we track, ranked by the same independent score.
- iMeritPlatform for AI training data preparation and model evaluationlow · 26%
- Kili TechnologyA collaborative platform for building and managing high-quality training datasets with AI assistancemedium · 73%
- Scale AIEvaluation infrastructure and benchmarking tools for AI modelslow · 45%
- SuperviselyA collaborative data annotation platform for computer vision and machine learning with AI-assisted labeling.medium · 74%
- AppenCurated human-annotated datasets and AI evaluation services for developing advanced AI systemslow · 39%
- LabelboxData and evaluation infrastructure for training AI agents to perform real-world tasksmedium · 58%
Compare Amazon SageMaker Ground Truth
Side by side against other data labeling, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Amazon SageMaker Ground Truth, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Security posture | 100 | 0.12 | 12.2 | ✓ |
| Pricing transparency | 80 | 0.05 | 4.3 | ✓ |
| Price level | 80 | 0.04 | 3.3 | ✓ |
| Integrations | 35 | 0.04 | 1.5 | ✓ |
| Capabilities | 29 | 0.04 | 1.1 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 62% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Model assisted labeling | mediumsource · 2026-08-21 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 15 | mediumsource · 2026-08-21 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-10-02 · 75% |
Pricing
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-10-02 · 60% |
| Fedramp | Yes | highsource · 2026-10-02 · 75% |
| Gdpr | Yes | highsource · 2026-10-02 · 75% |
| Hipaa | Yes | highsource · 2026-10-02 · 75% |
| Pci | Yes | highsource · 2026-10-02 · 75% |
| Certifications | PCI-DSS, HIPAA/HITECH, FedRAMP, FIPS 140-3 | mediumsource · 2026-10-02 · 60% |
| Iso27001 | Yes | highsource · 2026-10-02 · 75% |
| Soc2 | Yes | highsource · 2026-10-02 · 75% |
| Trust center | https://aws.amazon.com/security/?nc1=f_cc | mediumsource · 2026-10-02 · 60% |
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