Verified current PhD Opportunity

Computer Science PhD (Netherlands)

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 technica...

PhD Opportunity Remote Full source details
Anyone Ai Careers Copenhagen, Hovedstaden, Denmark Source published Jun 4, 2026 Verified 4 hours ago
✓ 92% verification score · Source: Anyone Ai Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentPart Time
Published compensationUSD 150.00 – 150.001 HOUR
Work modeRemote / location-flexible
CountryDenmark
DepartmentSoftware Engineering

Overview

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

Complete research opportunity details

Full 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

Tips for this phd opportunity

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
  2. Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
  3. Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
  4. Contact a supervisor before applying only when the official instructions recommend or require it.

Verification notes

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