Surge AI is a platform designed to power Reinforcement Learning from Human Feedback (RLHF) by providing scalable, high-quality human data labeling and preference collection. It is used by teams developing large language models (LLMs), generative AI systems, and safety-aligned AI applications that require precise, structured human input for training and evaluation.

Surge combines an advanced labeling interface with a managed workforce of expert annotators, allowing organizations to collect fine-grained, task-specific human feedback across domains. It supports a wide range of use cases, from alignment tuning and toxicity filtering to preference ranking and reward modeling.

Key benefits:

• Purpose-built for RLHF, with specialized tools for ranking, scoring, and instruction following

• High-quality human labelers, with domain expertise and oversight

• Flexible workflows, customizable for LLMs, chatbots, safety systems, and more

What are the main features of Surge AI?

RLHF-native feedback workflows

Surge provides tools specifically designed for RLHF use cases, enabling structured feedback collection at scale.

• Interfaces for comparison, ranking, instruction-following, and critique tasks

• Support for diverse formats: freeform text, multi-turn dialogues, code, and images

• Output formats tailored for training reward models or supervised fine-tuning

Expert human annotation and review

Surge relies on a curated pool of trained annotators with experience in AI-related tasks.

• Annotators selected for domain knowledge and communication clarity

• Human-in-the-loop QA and consensus mechanisms

• Continuous calibration and training for consistency

Customizable evaluation and alignment tasks

The platform supports complex evaluation pipelines for model safety, quality, and behavioral alignment.

• Preference judgments, helpfulness and harmlessness scoring

• Toxicity and bias detection, compliance review

• Fine control over prompt structure, evaluation rubrics, and instructions

Real-time collaboration and management tools

Surge offers tools for task design, reviewer coordination, and progress tracking.

• Role-based permissions and project dashboards

• Analytics for throughput, quality, and inter-rater agreement

• Full audit trails for reproducibility and compliance

Integration with AI and ML pipelines

The platform is built to fit into modern AI development environments.

• API access for automated data ingestion and retrieval

• Compatible with training LLMs, chat models, and reinforcement learners

• Data exports formatted for reward model training, supervised fine-tuning, or evaluation

Why choose Surge AI?

• Tailored for RLHF workflows, with domain-specific interfaces and trained human feedback

• Enterprise-grade quality, with expert annotators and managed quality control

• Highly customizable, for alignment, safety, and preference learning tasks

• Integrates seamlessly into modern ML pipelines with API and automation support

• Trusted by leading AI labs, for scalable and high-stakes human feedback collection