Computer Science PhD (Denmark)

Anyone AI Inc.; Denmark; Remote; DKK 1.179.000 - 1.584.000; Vollzeit

Benefits dieser Stelle

Remote work

Flexible hours

Zusammenfassung

Anyone AI Inc. is seeking experienced Machine Learning and AI Experts to train and evaluate advanced models. This remote, flexible role focuses on assessing AI-generated content, crafting prompts and answers, and evaluating model responses for accuracy and clarity.

You will identify errors and provide targeted feedback to help improve AI systems. A PhD in ML/AI or a closely related field is highly desirable; strong English writing is essential.

Qualifikationen

• PhD in ML/AI or adjacent field required or strongly preferred.
• Proven ability to write clearly about complex technical topics in English.
• Experience in ML model training, evaluation, and real-world deployment concepts.

Aufgaben

• Assess factual accuracy and quality of AI-generated content.
• Craft and answer advanced questions in ML/AI and related domains.
• Evaluate, rank, and compare AI responses for correctness and clarity.
• Identify errors, hallucinations, or weak reasoning in outputs.
• Provide actionable feedback to improve AI systems.

Kenntnisse

PhD in ML/AI

ML Engineer

AI Researcher

Technical English

Analytical thinking

Ausbildung

PhD in ML/AI

Jobbeschreibung

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