Alternatives to Outlier AI

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

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

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

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

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

Paper Instruments trains open-source, domain-specific frontier models and agent tooling for specialist knowledge work.

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

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

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

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

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

Snorkel AI builds expert training data, evals, and runnable environments for frontier models and agents.

Open-source platform for data labeling, AI evaluation, and human-in-the-loop workflows across every data modality.

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

Open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

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

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

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

Clickworker turns a verified global crowd of 10M+ people into on-demand data collection, labeling, and validation work for AI, retail, and research teams.

Kiln is a local-first AI workbench for building, evaluating, and optimizing AI systems on your own machine.

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

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

Daft is an open-source multimodal data engine for turning video, images, audio, and sensor data into training-ready datasets.

Aviation AI training datasets plus real-time runway incursion risk detection for ATC safety teams.

Enterprise dataset management platform for AI training teams

Data infrastructure for physical AI: real-world multimodal capture turned into training-ready datasets.

Generate privacy-safe synthetic data with MOSTLY AI's Apache v2 SDK and TabularARGN engine.

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.

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