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AI Training Specialist in Computer Science (Remote - Chile)

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 discipline. Robust experience in computational problem-solving, either in research or industry settings. Proficient in Python; familiarity with scientific or machine learning tools is advantageous. Deep understanding of algorithms, complexity, numerical methods, and software workflows. Ability to devise challenging, original problems that surpass conventional interview questions. Strong written communication skills and meticulous attention to detail.

About the job

anyone-ai focuses on producing high-quality STEM training data that advances AI model reasoning. The work directly supports training and evaluation at leading AI research organizations. This remote position is open to candidates based in Chile.

The AI Training Specialist in Computer Science will design and solve challenging technical problems. These problems must have a single, verifiable correct answer and include a thorough, validated solution.

What You Will Do

  • Create complex, deterministic problems in areas such as algorithms, systems, theory, machine learning, or computational methods.
  • Develop tasks that require both coding and deep reasoning, aiming to challenge current AI systems.
  • Deliver complete solutions, including code implementations when relevant.
  • Design multi-step tasks that reflect real-world technical and research scenarios.
  • Ensure all problems are rigorous, replicable, and yield a single correct answer.
  • Communicate clearly and accurately in English.

Requirements

  • Bachelor's, Master’s, or PhD in Computer Science or a closely related field.
  • Significant experience solving computational problems, gained in research or industry.
  • Strong Python skills; experience with scientific or machine learning libraries is a plus.
  • Solid grasp of algorithms, computational complexity, numerical methods, and software workflows.
  • Proven ability to invent original, challenging problems that go beyond typical interview questions.
  • Excellent written communication and a keen eye for 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 crafting high-quality STEM training data specifically designed for next-generation AI models, contributing to advancements in AI reasoning capabilities across various technical domains.

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