Alternatives to Raiinmaker

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

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

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

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

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.

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

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

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

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

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

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

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

Spotlight is Renumics' open-source Python library for visualizing and curating unstructured datasets as interactive similarity maps.

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.

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

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

Browser and offline desktop data labeling for image, text, document, and video annotation.

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

Open-source data annotation for text, image, audio, video, 3D, and AI agent traces — built in YAML, self-hosted free.

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.

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

Labelbox builds RL environments frontier labs train on and background agents engineering teams hand their backlog to.

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

Offline AI image annotation desktop app with local SAM2, SAM3 and YOLO-World — one-time purchase from $49.

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.