Alternatives to Mercor

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

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.

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

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

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

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

PublicAI pays a decentralized workforce in crypto for multi-modal AI training data, annotation, and real coding trajectories.

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

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

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

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.

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

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

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

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

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

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

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

Offline AI image annotation desktop app with 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.

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

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

LabelGPT auto-labels images from a text prompt—zero-shot bounding boxes and segmentation in minutes.

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

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

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

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