Alternatives to Snorkel AI

Applied research lab that captures expert reasoning and structures it into SFT, RL rubric, agent, and computer-use training data for frontier models.

RL environments and expert-labeled data for frontier models and enterprise agents

Cortex AI supplies real-workplace egocentric video and robot trajectory data for training embodied AI models.

GameEngineBench benchmarks and UE5 training data for AI agents that write real game-engine code.

Managed training data, RL environments, and safety red-teaming for teams building AI agents, coding models, and LLM/VLM pipelines.

Human-recorded computer-use datasets that teach AI agents to operate real software the way people do.

A human data platform connecting AI teams and researchers to 300,000+ verified participants for preference tuning, safety evals, and online studies.

Velvet sources, verifies, and delivers curated video datasets that help AI labs train interactive and world models with real spatial reasoning.

Traverse is a research lab producing expert-captured training data that gives frontier models taste and judgment for ambiguous, long-horizon work.

BioStack Platforms supplies structured clinical datasets and RL environments for healthcare AI teams.

Open-source, multimodal data annotation platform for image, video, 3D point cloud, and audio labeling—self-hosted, cloud, or fully managed

Offline AI image annotation for YOLO and VOC datasets — local SAM2, SAM3 and YOLO-World, one-time purchase from $49.

A free 70,000-image Zalando clothing dataset built as a drop-in replacement for MNIST.

Open-source Python framework for generating grounded synthetic datasets from real sandboxed tool execution traces.

Mercor is a human intelligence marketplace for AI model evaluation and training data, paying vetted domain experts an average of $109/hr.

Open-source framework that turns any GitHub repository into training data for software engineering agents.

Early-stage San Francisco robotics lab building policies for robots that do real work, and hiring its first researchers.

A downloadable Python annotation tool and web app you run yourself to build training and evaluation data for custom AI, ML and NLP models.

Open-source, self-hosted annotation for text, media, and AI agent traces — configured entirely in YAML.

Audio datasets built like research artifacts for teams training speech recognition, translation, synthesis and voice-interaction models

Multimodal real-world human data for training embodied AI agents

Web3 data network paying contributors in crypto for text, audio, video, code, and mapping data that trains AI models.

Raiinmaker builds custom, rights-cleared video datasets and runs real-time human evaluation for generative AI video models.

Outlier AI pays subject-matter experts to train AI models remotely on flexible, project-based work with weekly pay.

Private-deployment data annotation platform for multimodal AI training, from BasicAI.

Web data platform for AI training and agentic web access — pre-collected datasets, live scraping APIs, and a proxy network under one account.

Sahara AI is a blockchain-backed platform for building, deploying, and monetizing autonomous AI agents across trading, enterprise automation, and data services.

Custom audio datasets for training and evaluating voice AI, scoped to your model's spec.

Autoscaled RL data and self-evolving benchmarks for tool-use and computer-use agents, built by the team behind Ragas.

Hugging Face Datasets: open-source Python library to load, stream, and preprocess AI datasets for training