Alternatives to AfterQuery

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

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

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

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

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.

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

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

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

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

Mercor is a marketplace where vetted domain experts do AI model evaluation and training data work for frontier labs and enterprises, averaging $112/hr.

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

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.

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

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

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

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

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

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

Data, evaluations, and applied research for perceptual AI across audio, video, and emerging modalities.

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

Multimodal real-world human data for training embodied AI agents

Open Somali AI datasets, speech and language models, benchmarks, and free bootcamps from an open research lab in Mogadishu.

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.

Structured3D: a 3,500-design photo-realistic synthetic dataset with dense 3D structure annotations for scene-understanding research.