Computer Science PhD (Netherlands)

Anyone AI Inc.; Denmark; Remote; DKK 1,179,000 - 1,593,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Job summary

Anyone AI Inc. is seeking experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this remote role you will assess AI-generated content, craft prompts and answers, and evaluate model responses for accuracy, relevance, and clarity.

This is a remote, flexible opportunity, offering compensation at US$150 per hour for a freelance engagement that leverages your expertise in ML and AI to advance AI systems.

Qualifications

• PhD or equivalent in ML/AI or related field.
• Strong written and spoken English for technical topics.
• Experience in evaluating ML model outputs and prompts.
• Analytical thinking and attention to detail.

Responsibilities

• Assess AI-generated content for accuracy and relevance.
• Craft and answer advanced ML/AI prompts.
• Evaluate model responses for reasoning quality.
• Provide clear, actionable feedback to improve systems.

Skills

Machine Learning

AI

Data Science

English

Analytical thinking

Scientific writing

Education

PhD in ML/AI or related

PhD in CS/Math or related

Tools

Python

TensorFlow

PyTorch

Job description

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