Alternatives to Labelbox

Snorkel AI builds expert-curated training data and runnable eval environments that fix where frontier models and agents break.

Agent training data, RL environments, and red-teaming from Toloka for LLM and computer-use agent teams

Mercor matches AI labs with vetted domain experts and publishes APEX benchmarks for evaluating frontier models on real professional work.

AfterQuery turns expert reasoning into SFT, RL rubric, agent, and computer-use training data for frontier models.

Mundo AI builds culturally-aware audio and video training data, evaluations, and applied research for teams working on perceptual AI.

Velvet sources, verifies, and delivers curated video datasets so AI labs can train interactive and world models with spatial reasoning.

Enterprise dataset management platform for AI training teams

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

Hub recruits the physical world to capture egocentric, teleoperation, hand-tracking and tactile training data for embodied AI.

LanceDB is an open-source multimodal lakehouse that keeps curation, features, search, and training on one Lance table.

Outlier AI pays subject-matter experts to train AI models remotely through flexible, project-based prompt writing and answer grading.

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

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

Open-source framework that generates hundreds to thousands of SWE-agent training tasks from any GitHub repository.

Buy pre-collected AI training datasets from 900+ domains, or pull live web data at inference time through Bright Data's scraping APIs and

Prolific connects AI and research teams to 300,000+ verified participants for human feedback, preference tuning, and safety evaluations.

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

Blockchain-verified autonomous AI agents for trading, enterprise workflows, and monetized data pipelines.

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

Daft is an open-source multimodal data engine for building training-ready AI datasets from video, images, and audio.

GameEngineBench scores frontier AI models on real UE5 game-engine programming tasks, not static coding puzzles.

Vision Lab turns industrial video into expert-validated action labels and hand pose data for robot manipulation policies.

Prodigy is a downloadable Python annotation tool for building training and evaluation data for custom AI, ML and NLP models.

Hugging Face Datasets: load, stream, and preprocess training data in one line of Python

Applied AI for aviation: pilot-controller training datasets, the Y4 Aviation Understanding Model, and real-time runway incursion risk detection.

Privacy-safe synthetic tabular data on an Apache v2 SDK, deployable in your own cloud.

PublicAI is a Web3 data infrastructure platform that pays a global workforce in crypto for multi-modal annotation, coding trajectories, and LLM benchmarks.

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

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

CVAT is an open-source data annotation platform for image, video, 3D point cloud, and audio labeling.