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.
Validate problem difficulty by testing against frontier language models and iterating to ensure meaningful challenge.
Our partner is an AI research organization focused on improving model performance through expert-generated engineering problem sets. The company operates with a small, collaborative team in a fully remote, asynchronous environment.
Design and author rigorous multiple-choice assessment questions in mechanical engineering at graduate or postgraduate complexity.
Develop detailed explanations and rationales for answer choices, ensuring clarity and precision in academic settings.
Review and validate the technical accuracy and pedagogical quality of AI-generated mechanical engineering materials.
Our client is a rapidly growing, venture-backed AI company that helps shape next-generation intelligent systems by combining human expertise with machine learning workflows. Backed by over $40 million in funding and a rapidly expanding global network, they build critical human intelligence infrastructure for the AI economy.
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 difficult chemistry problems reflecting real scientific workflows.
Create deterministic tasks with one correct answer and full verified solutions.
Develop reasoning-intensive and computationally grounded problems using Python.
Anyone AI creates high-quality STEM training data for frontier AI models used by leading AI labs. The company is a remote-first, small team offering part-time contract work.
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.
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.
Design precise grading criteria for pre-sales, solutions engineering, and technical sales deliverables.
Evaluate AI-generated and human-produced work samples against established criteria with detailed justifications.
Assess technical discovery, solution design, demonstrations, and proof-of-concept work for quality and effectiveness.
The partner company focuses on evaluating AI-generated and human-created sales engineering deliverables. The remote team is collaborative, consisting of experienced professionals and senior reviewers, fostering a culture of expert feedback and calibration.