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Computer Science AI Training Expert (Ecuador)

Anyone Ai

Quito, Pichincha, Ecuador Remote contract

Posted: March 29, 2026

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Quick Summary

Design and develop high-quality STEM training data for frontier AI models, focusing on solving complex problems with deterministic reasoning.

Job Description

• 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

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