Amazon SageMaker Ground Truth
Service that helps organizations customize AI models through human feedback and expert guidance to improve accuracy and performance for specific use cases
- Also known as
- amazon-sagemaker-ground-truth
Available worldwide · Popular in: US
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
Amazon SageMaker Ground Truth alternatives
Other data labeling we track, ranked by the same independent score.
- Scale AIDataset preparation and AI model assurance platform for enterprise systemslow · 45%
- CVATA comprehensive data annotation platform designed for computer vision teams to convert raw visual data into training-ready datasetslow · 26%
- iMeritData labeling and model fine-tuning platformlow · 14%
- AppenDeliver human-validated data to train advanced AI systems with nuance and contextual understanding at scalelow · 13%
- Kili TechnologyPlatform for building high-quality training datasets through collaborative annotation and labelingmedium · 55%
- LabelboxInfrastructure and services for collecting, managing, and evaluating training data for AI systemslow · 21%
Compare Amazon SageMaker Ground Truth
Side by side against other data labeling, attribute by attribute, with a source on every value.
The Vioscale 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 |
|---|---|---|---|---|
| Pricing transparency | 80 | 0.08 | 6.7 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Security posture | 35 | 0.07 | 2.6 | ✓ |
| Capabilities | 29 | 0.05 | 1.4 | ✓ |
| Integrations | 35 | 0.04 | 1.4 | ✓ |
| 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.
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 · 2026-08-21 · 75% |