Computer Science PhD (Sweden)
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- Sweden, Швеція
- Швеція
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Computer Science PhD (Sweden) at anyone-ai is a Senior IT / Data Science & ML role in Sweden, with an onsite workplace classification and a source excerpt written in English. JobGrid normalizes the posting from structured fields and preserves the original application route through the public employer page with referral parameters; the source excerpt also states compensation of US$150 per hour, while the structured salary field is empty.
- Role facts normalized by JobGrid: company anyone-ai, country Sweden, workplace onsite, seniority Senior, category IT, subcategory Data Science & ML.
- Source freshness is recent: posted 2026-06-04 and last checked 2026-06-05.
- The source text is in English; JobGrid keeps the employer description separate and does not merge it into the publisher value.
- Comparable classification is based on the structured role label, not on unsupported claims about duties or hiring context.
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