Alternatives to Nlp Labelling

Zero-shot auto labeling platform using foundation models for images, video, text, audio.

Open-source data labeling and AI evaluation for all data types

Free open-source annotation platform for text, audio, images, video, and AI agents, with YAML setup.

Collaborate and label any type of data in an easy web interface or desktop app.

Synthetic data platform for privacy-safe analytics with agentic AI.

Decentralized AI training data verified by public consensus

Mercor connects AI companies with vetted domain experts for high-pay AI evaluation tasks

Decentralized, ethically sourced video data and human feedback for AI video model training.

Open-source multimodal lakehouse for AI data curation, search, and training.

RL data engine for AI teams building foundation models and evals

Managed training data platform for AI agents and LLMs — agentic skills, coding, AI safety.

Flexible freelance platform for training AI models remotely

Offline image annotation with AI on your machine, no subscription.

Private-deployment data annotation platform for multimodal AI training.

Collect high-quality human data for AI training and research, fast.

Open-source data annotation platform for vision AI teams

Real-world egocentric video and robot data for embodied AI training.

Industrial data layer for robotics training with VLM + human-in-the-loop annotation.

Web data platform for AI training and agentic access

Curated video datasets and evals for training multimodal AI with spatial reasoning.

Self-hosted annotation tool for custom AI, ML, and NLP pipelines.

Verifier-grounded training data for frontier AI models

Interactive data exploration for unstructured datasets from your dataframe.

Expert data development for frontier AI models and agents

B2B crowdsourcing platform for AI training data and data services from 8M+ verified workers.

A drop-in replacement MNIST benchmark for fashion image classification.

Open-source data engine for multimodal AI pipelines at any scale.

Open-source framework for grounded synthetic data generation with real execution traces.

Open-source Python library for fast, memory-efficient AI dataset loading and processing.

Generate 100s of SWE task instances from any GitHub repo in ~10 minutes.