AI Training Specialist in Computer Science (Remote - Peru)

anyone-aiPeru - Fully Remote

Remote Contract $40/hr - $40/hr

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Experience Level

Experience

Qualifications

Bachelor's, Master’s or PhD in Computer Science or a related field. Strong research or industry experience in computational problem-solving. Proficient in Python; experience with scientific or ML tools 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.

About the job

Location: Remote (Peru)
Type: Contract / Part-time
Weekly Commitment: 20 hours
Compensation: Up to $40 per hour
Project Duration: 2 months, with possible extension
Start Date: Immediate

Role Overview

anyone-ai is building high-quality STEM training data to support the next generation of AI models. Our work strengthens model reasoning in technical fields and supports research at leading AI institutions.

This contract role is for Computer Science professionals who can design challenging, deterministic problems with unique, verifiable solutions.

What You Will Do

Develop complex problems in areas such as algorithms, systems, theory, machine learning, or computational methods
Design tasks that require both coding and deep reasoning, aimed at testing advanced AI systems
Deliver full, verified solutions, including programmatic approaches when needed
Create tasks that reflect real technical and research workflows
Ensure all problems are deterministic, rigorous, and reproducible
Communicate clearly and accurately in English

What We’re Looking For

Bachelor’s, Master’s, or PhD in Computer Science or a closely related field
Professional or research experience in computational problem-solving
Strong Python skills; experience with scientific or machine learning libraries is a plus
Solid grasp of algorithms, complexity, numerical methods, and software workflows
Ability to create original, challenging problems that go beyond standard interview questions
Excellent written communication and strong attention to detail

Preferred Qualifications

Background in machine learning, formal methods, distributed systems, optimization, or scientific computing
Experience with benchmarking, technical evaluations, or assessment design

About anyone-ai

anyone-ai is dedicated to creating high-quality STEM training data that enhances AI model capabilities. Our work is instrumental in advancing the field of artificial intelligence by supplying essential resources for training and evaluation at leading AI labs.

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