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Super Annotate
✓ verifiedPaid
Enterprise data-annotation and evaluation platform pairing a labeling tool with a managed expert annotator workforce.
406K visits/mo
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SourceBae
✓ verifiedFree
Marketplace connecting paid domain-expert contractors to AI labs for data labeling, RLHF and model evaluation work.
29K visits/mo
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encord.com
✓ verified
Data platform for computer-vision teams to build and deploy AI models; strong traffic.
267K visits/mo
Pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦Customizable multimodal annotation editors for image, video, text and audio
- ✦Support for RLHF preference data, SFT datasets, RAG and agent evaluation workflows
- ✦Managed expert annotator workforce option
- ✦Data curation, exploration and analytics tools
- ✦Team and project management with SSO on higher tiers
- ✦Integrations with AWS, GCP, Databricks, Snowflake and others
- ✦Data annotation and multi-format labeling
- ✦RLHF and human preference feedback
- ✦AI model red-teaming and safety testing
- ✦On-demand vetted ML/prompt engineering talent
- ✦Synthetic data generation
- ✦Structured model evaluation and benchmarking
- ✦Annotation tooling & workflow management
- ✦Model evaluation & observability
- ✦Data management & curation
Use cases
- →Building large-scale labeled datasets to train computer vision or NLP models
- →Running human evaluation and RLHF pipelines for LLM fine-tuning
- →Auditing and scoring AI agent decisions with human review
- →AI labs sourcing domain experts for RLHF projects
- →Companies needing red-teaming of a new model
- →Teams building custom labeled training datasets
- →Domain experts (healthcare, legal, finance) earning remote pay for AI training work
- →Building and scaling labeling workflows for ground truth creation
- →Monitoring and troubleshooting data and labels impacting model performance
- →Understanding and managing visual data for active learning pipelines
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