We create high-quality STEM training data for frontier AI models. We are a remote-first company seeking experts in civil engineering to design rigorous problems for AI training.
Design advanced electrical engineering problems for frontier AI training and evaluation.
Create deterministic problems with exactly one verifiable correct answer and complete solutions.
Develop problems covering circuits, electronics, signal processing, control systems, electromagnetics, power systems, or communications.
Anyone AI creates high-quality STEM training data for frontier AI models. They are a small, expert team dedicated to improving AI reasoning in technical domains.
Create original graduate-to-PhD-level academic problems in your field
Write rigorous, step-by-step solutions with exact and verifiable answers
Review AI-generated responses to identify specific reasoning errors
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Author original, technically rigorous free-response engineering problems in Materials Science and Engineering.
Design challenging questions that reflect realistic industrial scenarios and engineering constraints.
Develop expert-level solutions, explanations, and reasoning grounded in established engineering principles.
The partner company is focused on developing and evaluating frontier AI models through expert-level engineering problems. They operate as a remote, contract-based organization with a collaborative culture.
Design advanced biology problems that challenge frontier AI systems in molecular biology, genetics, or computational biology.
Create deterministic tasks with exactly one correct answer and submit complete, verified solutions.
Use Python and bioinformatics tools to build problems involving experimental reasoning and computational analysis.
We create high-quality STEM training data for frontier AI models used by leading AI labs. We are a team of experts working to improve model reasoning in scientific domains.
Reason about software architecture at a deep level to guide AI agents in building the system.
Own a domain end-to-end, from triaging issues to directing agents and updating skill references.
Drive the evolution of the machine—capture conventions and improve the agent system with every session.
Swamp Club builds deterministic automation for AI agents, enabling rapid AI-driven development. The small, mission-driven team of five ships ten releases a day, with a culture of AI maximalism and intense work.
Evaluate and rank AI-generated scientific explanations based on accuracy and logic.
Review scientific papers alongside AI-generated abstracts to identify inaccuracies.
Verify AI-generated data against source documentation for material properties and formulas.
Prolific builds the largest pool of quality human data for AI training, connecting researchers with a global participant network. We serve over 35,000 AI developers and organizations, focusing on ethical data collection.
Complete a paid vetting survey and screening call to qualify for the study.
Design 3D-printable objects using open-source CAD software and capture workflow to train AI models.
Write and execute Python validation scripts and complete tasks across multiple complexity levels.
Prolific builds the largest pool of quality human data for AI developers and researchers. With over 35,000 users, they connect researchers with participants to gather data for AI training.
Design difficult chemistry problems that reflect real scientific workflows
Create deterministic tasks with one correct answer and full verified solutions
Develop reasoning-intensive and computationally grounded problems
They create high-quality STEM training data for frontier AI models that is directly used in training and evaluation workflows at leading AI labs. The company is a small team of contractors, and they value technical rigor and clear documentation.
Design, iterate, and maintain system prompts and instruction sets for AI agents in enrollment, learning, and student support.
Build evaluation frameworks to measure agent accuracy, tone, and task completion using LLM observability tools.
Collaborate with product managers, learning designers, and university stakeholders to translate goals into agent behavior.
We are higher education's leading strategy, services, and technology partner, empowering universities to change the world. We foster an inclusive, dynamic culture with growth opportunities and equity.