The iMerit Blog
From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the artificial intelligence and machine learning data-enrichment marketplace.
Nov 4, 2026
Introducing iMerit Scholars: A Domain Expert Network Powered by Ango Hub
iMerit launches Ango Scholars, automating onboarding, assessments, contracts, and payments for its 30,000+ global domain experts worldwide.
Oct 7, 2026
Data Management for Multimodal AI Pipelines: Keeping Datasets Model-Ready Through Feedback Loops
Learn how scenario mining helps AV teams detect edge cases, prioritize long-tail events, and improve model coverage.
Oct 5, 2026
5 Research Papers Shaping Dexterous Manipulation Training Data in 2026
See the research papers shaping dexterous manipulation training data in 2026 and what the findings mean for robotics teams.
Oct 5, 2026
Why Pass Rate is the Wrong Metric for Agentic AI and What Agent Trajectory Evaluation Replaces it With
Agent trajectory evaluation reveals tool errors, inefficient paths, policy violations, and recovery failures beyond pass rates.
Sep 30, 2026
Measuring Annotation Quality for Multimodal Data: Agreement, Consensus, and QA Across Modalities
Learn how scenario mining helps AV teams detect edge cases, prioritize long-tail events, and improve model coverage.
Sep 30, 2026
Why the Rarest AV Scenarios Are Also the Most Expensive to Miss
Learn how scenario mining helps AV teams detect edge cases, prioritize long-tail events, and improve model coverage.
Sep 29, 2026
Beyond Pick-and-Place: Why Cable, Cloth, and Transparent Object Manipulation is Where Policies Break Down
Why do robot policies struggle with deformable objects? Explore manipulation challenges and the training data needed to improve them.
Sep 29, 2026
The Multimodal Voice AI Problem Nobody Has Solved Yet: Labeling Audio Alongside Images and Documents
Learn how cross-modal annotation connects speech, images, and documents to build reliable multimodal voice AI training data.
Sep 24, 2026
From Transcription to Behavior: Why Intent Annotation is the Real Driver of Enterprise Voice AI
Learn why annotating intent, sentiment, and escalation risk, not transcription accuracy, determines enterprise voice AI reliability.
Sep 23, 2026
iMerit Scholars vs. Scale AI vs. Mercor vs. Prolific: How to Choose an MTurk Replacement
Scale AI, Mercor, Prolific, and Scholars solve different problems. Here's how to pick the right MTurk replacement for your AI workflows.
Sep 23, 2026
MTurk Migration: How to Move Your MTurk HITs (Human Intelligence Tasks) to Ango Hub + Scholars Before the September 30 Shutdown
MTurk closes September 30, 2026. Here's a step-by-step guide to migrating your HITs to Ango Hub + Scholars before the deadline.
Sep 22, 2026
Why Synthetic Data Alone Cannot Train Dexterous Robot Policies and What Real-world Annotation Fills in
Sim environments can't replicate contact dynamics or friction at scale. Here's where real-world annotation closes the gap.
Sep 17, 2026
Autonomous Tractor Perception Failure in Low Light and Bad Weather: The Training Data That Fixes it
What causes autonomous tractor perception failure in dust, dawn, and rain? A breakdown of the annotation gap most teams miss.
