A human intelligence workforce layer for your AI systems.
Organizations can use EarnLayer's contributor network to support AI evaluation, human feedback, annotation, and dataset quality work at scale.
Human intelligence, applied where AI needs it most.
From evaluation to annotation, EarnLayer connects your team with structured, quality-reviewed human input.
AI Evaluation
Structured human review of model outputs against your quality criteria.
Human Feedback
Preference data and structured feedback to guide model alignment.
Data Annotation
Labeled training data across text, image, and structured formats.
Dataset Quality Review
Independent audits of existing datasets for accuracy and consistency.
Language Evaluation
Translation review, grammar assessment, and fluency scoring across languages.
AI Response Ranking
Comparative ranking of model outputs to support preference-based training.
Image Annotation
Bounding boxes, segmentation, and tagging to support computer vision work.
Data Quality Assurance
Ongoing quality checks to keep training and evaluation data reliable.
Positioned as a workforce layer, not a one-off vendor.
EarnLayer is designed to sit between your AI systems and a quality-reviewed pool of human contributors — providing structured evaluation and annotation work as an ongoing capability, not a single project.
- Reviewed contributor pool with fraud-prevention safeguards
- Task tiers matched to complexity, from quick judgments to expert review
- Structured submission and review pipeline built for consistency
- Flexible engagement as your evaluation and annotation needs evolve
Talk to Our Team
Tell us about your evaluation or annotation needs and we'll get back to you.