Source Job

• Develop, solve, and review advanced mathematical problems with real-world relevance.
• Apply expertise in algebra, calculus, statistics, discrete mathematics, or related areas to design complex problem statements.
• Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.

Alignerr partners with leading AI research teams and labs to build and train cutting-edge AI models. The job posting does not provide company size or culture information.

• Engage with advanced topics across probability theory, measure theory, real and functional analysis, optimization, abstract algebra, and category theory.
• Challenge cutting-edge AI systems with complex proofs, evaluate mathematical reasoning for correctness and rigor, and identify subtle conceptual or logical failures that only trained mathematicians can catch.
• Converse with the model on theoretical problems, construct and evaluate proofs, analyze reasoning steps for validity, articulate failure modes, and collaborate with our team to refine prompts, evaluation frameworks, and mathematical reasoning benchmarks.

I am sorry but I am unable to provide a company description with the provided text.

• Develop interactive courses teaching foundational principles of math.
• Design puzzle-driven learning experiences promoting mathematical thinking.
• Collaborate with product, design, and engineering teams to create new interactive features.

Brilliant is creating a world of better problem solvers providing interactive, adaptive, and fun learning experiences at scale, serving hundreds of thousands of subscribers.

• Evaluate AI model outputs related to artists, performers, and athletes.
• Develop prompts for AI models reflecting your field of expertise.
• Deliver feedback to strengthen the model’s understanding of workplace tasks and language.

Handshake is recruiting Agents and Business Managers of Artists, Performers, and Athlete Professionals to contribute to an hourly, temporary AI research project.

• Evaluate AI model outputs related to the instructional field.
• Develop prompts for AI models reflecting field expertise.
• Provide clear, structured feedback to enhance AI understanding.

Handshake is recruiting Instructional Coordinator Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed.

• Leverage professional experience to evaluate AI models' output in your field.
• Assess content and deliver feedback to strengthen the model’s understanding.
• Work independently from anywhere, with flexible hours and no minimum commitment.

Handshake is a recruiting platform. They connect students and recent graduates with employers.

• Review AI-generated responses and evaluate technical accuracy.
• Provide expert feedback to train AI systems to write better code.
• Work with various programming languages and coding challenges.

G2i connects subject-matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact-checking, and content review.

Leverage professional experience to evaluate AI models in your field. Assess content related to your field of work. Deliver feedback that strengthens the model’s understanding.

Handshake is recruiting Farm Labor Contractor Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed.

• Translate informal mathematical proofs into Lean (and related proof systems) with an emphasis on clarity, structure, and correctness.
• Analyze generic and domain-specific proofs, identifying gaps, hidden assumptions, and formalizable sub-structures.
• Construct formalizations that test the limits of existing proof assistants—especially where tools struggle or fail.

Alignerr partners with leading AI labs to build expert-driven workflows that improve model reasoning.