iMerit
AI data annotation and evaluation firm, now part of EXL, that also runs content moderation.
About iMerit
iMerit is a data annotation and generative AI services company that is now part of EXL. It serves AI and machine learning companies by enriching, annotating and labeling data in autonomous technology, geospatial technology, medical AI and other industries. Its solutions cover Gen AI services, computer vision, natural language processing and content services. In content services, its data labeling team validates, enriches, moderates and tags data. It also offers the Ango Hub annotation and model evaluation platform.
Radha Basu founded iMerit in 2012 and serves as its Founder and CEO. The company says it has a pool of more than 10,000 active resources spanning more than 60 countries. Its iMerit Scholars program draws on a global community of subject experts, listed at more than 25,000 domain experts.
Drafted from imerit.ai · not yet confirmed by iMerit
Open jobs
Posted directly by the hiring team at iMerit.
Nothing open at iMerit right now.
Locations
Their service
In Tools & Services. Listed, not recommended.
Recently
From iMerit's own newsroom feed and from the hiring team.
When Coding Benchmarks Stop Being Reliable and What to Build InsteadFrom their feed
Coding benchmarks are leaking answers, not testing skills. See how contamination inflates scores and what a reliable replacement requires. The post When Coding Benchmarks Stop Being Reliable and What to Build Instead appeared first on iMerit .
October 9, 2026
Why Industrial Robot Deployments Need Triage Programs as Much as Autonomous Vehicles DoFrom their feed
See how industrial robot triage helps robotics teams identify, prioritize, and route rare production failures for human review. The post Why Industrial Robot Deployments Need Triage Programs as Much as Autonomous Vehicles Do appeared first on iMerit .
October 8, 2026
Beyond FID and CLIP: What Production-Grade Video Evaluation Actually RequiresFrom their feed
Learn why FID and CLIP miss temporal consistency, subject drift, and motion artifacts, and what production video evaluation needs. The post Beyond FID and CLIP: What Production-Grade Video Evaluation Actually Requires appeared first on iMerit .
October 7, 2026
Data Management for Multimodal AI Pipelines: Keeping Datasets Model-Ready Through Feedback LoopsFrom their feed
Learn how scenario mining helps AV teams detect edge cases, prioritize long-tail events, and improve model coverage. The post Data Management for Multimodal AI Pipelines: Keeping Datasets Model-Ready Through Feedback Loops appeared first on iMerit .
October 7, 2026
5 Research Papers Shaping Dexterous Manipulation Training Data in 2026From their feed
See the research papers shaping dexterous manipulation training data in 2026 and what the findings mean for robotics teams. The post 5 Research Papers Shaping Dexterous Manipulation Training Data in 2026 appeared first on iMerit .
October 5, 2026
Measuring Annotation Quality for Multimodal Data: Agreement, Consensus, and QA Across ModalitiesFrom their feed
Learn how scenario mining helps AV teams detect edge cases, prioritize long-tail events, and improve model coverage. The post Measuring Annotation Quality for Multimodal Data: Agreement, Consensus, and QA Across Modalities appeared first on iMerit .
September 30, 2026