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Legal Professionals Paid Research

Terac is onboarding legal professionals for a paid, remote project focused on improving how AI understands real-world legal scenarios. The role involves analyzing legal situations, identifying issues, and enhancing them based on practical legal judgment.

Legal Professionals Paid Research - $220 USD

Legal Experts: AI Research Insights

Terac is conducting a research study with legal professionals to gather real-world scenarios that will aid in training AI models for complex advisory situations. Participants will share scenarios resolved through conversation or consultation, focusing on nuanced legal situations that require detailed understanding.

Terac is conducting a research study with legal professionals to collect real-world scenarios that will assist in training AI models for complex advisory situations. The role involves submitting conversation-only legal scenarios that reflect actual experiences in the field.

Reinforcement Learning Environments Engineer - Cybersecurity

Preference Model is building automated ML research engineering, focusing on creating high-quality reinforcement learning environments for real-world tasks. The role involves designing and building environments that teach LLMs to address cybersecurity challenges, including vulnerability discovery and patching.

Machine Learning Engineer, RL Environments - New Graduates

Preference Model is building automated ML research engineering, focusing on creating RL environments that reflect real-world complexity. The role involves designing and building RL environments for frontier models, contributing to the data layer that powers ML capabilities.

Research Engineer / Research Scientist

Preference Model is building automated ML research engineering, aiming to create RL environments that reflect real-world complexity. The role involves training and evaluating models, optimizing RL training infrastructure, and designing methodologies for RL agents.

Founding Engineer

Terac is a company that helps teams achieve faster research breakthroughs through a marketplace of verified experts. The Founding Engineer will own and scale the recruitment engine, build and extend the Terac API, and design the expert network experience while working closely with the CTO.