Reinforcement learning from human feedback (RLHF)
Build AI that actually understands and is helpful, safe, and aligned with humans.
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Elena
Stanford, United States
AI Safety Researcher
About
AI safety specialist with PhD in Machine Learning and Ethics/Philosophy. Expert in alignment testing, bias detection, and harmful output prevention. Ensures AI systems behave safely and ethically under pressure.
Expertise
Industries
Trusted by the world's best
Challenges with RLHF
Finding Quality Human Evaluators
Getting experts who can consistently judge what makes a "good" AI response is expensive and time-consuming.
Building Effective Reward Systems
Creating systems that actually capture human preferences without unintended side effects requires specialized expertise.
Managing Iterative Feedback Cycles
Coordinating multiple rounds of human feedback, model updates, and re-evaluation is resource-intensive.
Quality Domain Data Scarcity
Getting domain-specific, expert-level proprietary data is hard and expensive.
Domain-experts to tune models for your specific domain
End-to-End RLHF Implementation
We handle everything from feedback collection to technical training - you don't need to build internal RLHF infrastructure or hire specialized ML engineers.
Project requirements
Location
USA
Canada
Industry
ML
Healthcare AI
Job role
Healthcare ML Engineer
Clear all
Rachel
ML Engineer
Victoria
ML Engineer
Jamie Corey
ML Engineer
Proven Reward Model Development
We build and validate reward models that accurately capture human preferences without gaming or misalignment issues that plague DIY approaches.
“Write a poem”
“Roses are red, violets are...”
“Moonlight dances on water...”
Rank 1 : Response B
Rank 2 : Response A
Reward Model
Learns human
preferences
Iterative Training Optimization
We manage multiple feedback cycles and model iterations, continuously improving performance while monitoring for alignment and safety issues.
Iteration 1
Iteration 2
Iteration 2 (Final Optimization)
Domain-Specific Evaluation Standards
Our teams include professionals from your industry who understand what "good performance" actually means in healthcare, finance, legal, or technical domains.
RLHF Experts
Emma
Corporate Attorney
Margot
Legal Research Specialist
Aria
Compliance Officer
Luna
Paralegal (Doc Analysis)
Jake
IP Attorney
Some expert-led RLHF examples
Customer Service
Train AI to provide helpful, empathetic responses that match your brand values.
Content Generation
Align AI-generated content with your quality standards and editorial guidelines.
Safety and Compliance
Ensure AI responses meet regulatory requirements and avoid harmful outputs.
Decision Support
Align AI recommendations with human judgment and business priorities.
Ready to evaluate your model. Get started in 48 hours.
Join leading AI teams who've improved their models with deep domain expert feedback
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