Sciloop

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Sciloop provides expert-crafted evaluation and training data for frontier AI labs, built by Olympiad medalists and top researchers. It offers benchmark sets, SFT, RLHF, and reward modeling data across various scientific domains.

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Pricing

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API

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Skill level

Technical

About

What is Sciloop?

Sciloop specializes in creating high-quality, expert-crafted evaluation and training data for advanced AI models, particularly focusing on reasoning capabilities. Their network comprises Olympiad medalists and top researchers across mathematics, physics, chemistry, biology, and computer science, ensuring the data is built to challenge frontier models. Sciloop offers various data types including benchmark sets, Supervised Fine-Tuning (SFT) data, Reinforcement Learning from Human Feedback (RLHF) data, and reward modeling data. The platform also allows domain experts to contribute by solving complex problems, earning compensation for their submissions, and provides a continuous data streaming service for AI labs.

Best used for

Ideal for AI labs and researchers who need to train and evaluate advanced reasoning models, develop new AI benchmarks, and access high-quality, expert-crafted datasets. Especially valuable for those working on frontier AI models that require challenging and domain-specific problem sets.

Common actions

train AI models

evaluate AI models

curate datasets

benchmark AI performance

Capabilities

Key features

Expert-crafted evaluation data
Reasoning model training data
Frontier benchmark datasets
SFT, RLHF, reward modeling
Domain expert problem curation
Continuous data streaming

Target Audience

data scientistdeveloperstartup founder

Integrations

Not yet documented

Pricing & Plans

Custom

Not publicly disclosed. Check sciloop.dev for current pricing.

FAQs

What types of data does Sciloop provide for AI labs?

Sciloop provides a range of expert-crafted data including benchmark sets, Supervised Fine-Tuning (SFT) data, Reinforcement Learning from Human Feedback (RLHF) data, and reward modeling data. This data is designed to challenge and evaluate frontier AI models, particularly in reasoning tasks across various scientific domains.

How does Sciloop ensure the quality of its data?

Sciloop leverages a network of top domain experts, including Olympiad medalists and leading researchers in math, physics, chemistry, biology, and computer science. These experts craft problems that push the boundaries of current AI capabilities, and all data undergoes rigorous quality control and cross-checking.

Can individual experts contribute to Sciloop and earn money?

Yes, Sciloop offers a platform for domain experts to contribute by solving complex problems. Experts can browse open projects, work at their own pace without deadlines, and get paid per problem solved, with compensation starting at $225+ per problem.

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