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.
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.
Review, create, and refine chemistry content to ensure scientific accuracy for AI training datasets.
Develop clear explanations of chemical principles, reactions, and laboratory processes across varying complexity levels.
Provide structured feedback and collaborate with cross-functional teams to improve chemistry content and guidelines.
Our partner is a company at the intersection of scientific expertise and AI development. This is a remote, collaborative, and detail-oriented environment with a focus on precision and consistency.
Review domain archives to understand subject matter and extract key facts.
Create accurate question-and-answer pairs covering various complexity levels.
Ensure answers are traceable, unambiguous, and consistent with approved source content.
Innodata is a global data engineering company that enables responsible AI advancement by providing data, evaluation frameworks, and human expertise. With over 36 years of experience, the company delivers high-quality data and outcomes for Generative AI builders.