Computer Science AI Training Expert (Mexico) at Anyone AI

We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Computer Science AI Training Expert (Mexico) at Anyone AI. Remote Location: Mexico - Fully Remote. Location: . Remote. Type: . Contract / Part-time. Commitment: . 20 hours per week. Compensation:. Up to 40 USD / hr. Project duration:. . 2 months. , with potential extension. Availability: . Immediate start. About the role. We create high-quality STEM training data for frontier AI models. Our work improves model reasoning in advanced technical domains and is used directly in training and evaluation pipelines at leading AI labs.. We are looking for Computer Science experts to design difficult, deterministic problems with exactly one verifiable correct answer, along with complete, verified solutions.. What you’ll do. Design advanced problems in algorithms, systems, theory, machine learning, or computational methods. Create code-first and reasoning-heavy tasks that challenge state-of-the-art AI systems. Submit complete and verified solutions, including programmatic approaches when needed. Develop multi-part tasks that mirror real technical and research workflows. Ensure problems are deterministic, rigorous, and reproducible. Write clearly and precisely in English. What we’re looking for. Bachelor's, Master’s or PhD in Computer Science or a related field. Strong research or industry experience in computational problem-solving. Strong Python skills; experience with scientific or ML tooling is a plus. Excellent understanding of algorithms, complexity, numerical methods, and software-based workflows. Ability to create hard, original problems beyond standard interview-style questions. Strong written communication and attention to detail. Nice to have. Experience in machine learning, formal methods, distributed systems, optimization, or scientific computing. Experience with benchmarking, evaluations, or technical assessment creation. Familiarity with advanced libraries, solvers, or symbolic systems