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Computer Science PhD (Netherlands)

anyone-ai · Denmark

RemoteExternal listingpart-time2 months ago

About The Role

## 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.

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## Work Arrangement

  • Remote
  • Flexible hours

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