Computer Science PhD (Italy)

Anyone AI Inc.; Italia; Remoto; EUR 157.000 - 213.000; Tempo pieno

Descrizione del lavoro

Anyone AI Inc. is seeking experienced Machine Learning and AI Experts to train and evaluate advanced AI models. You will apply domain expertise to assess AI-generated content, craft technical prompts, and evaluate responses for accuracy and clarity.

This is a remote, flexible opportunity for experts aiming to contribute to better AI systems and model evaluation in diverse domains.

Competenze

• PhD in ML/AI or adjacent field such as CS, statistics, applied math.
• Experience as ML engineer, AI researcher, applied scientist, data scientist, or similar.
• Strong understanding of core ML/AI concepts: training, evaluation, optimization, real-world use.

Mansioni

• Assess factual accuracy, technical quality, and relevance of AI-generated text.
• Craft and answer advanced questions across ML/AI topics.
• Evaluate and rank AI outputs by correctness, reasoning quality, and clarity.

Conoscenze

Strong analytical skills

Written English proficiency

Domain expertise in ML/AI

Critical thinking

Formazione

PhD in Machine Learning/AI

Descrizione del lavoro

Overview

We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.

In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity.

This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems.

Compensation

• US$150 per hour

Key Responsibilities

As a Machine Learning / AI Expert, you may contribute by:

• Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence.

• Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains.

• Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity.

• Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs.

• Providing clear feedback that helps improve the performance of AI systems.

Ideal Qualifications

We are especially interested in candidates with one or more of the following:

• A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science.

• Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role.

• Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application.

• Ability to write clearly, precisely, and fluently in English about complex technical topics.

• Strong analytical judgment and attention to detail.

Work Arrangement

• Remote

• Flexible hours