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Computer Science PhD (Sweden)

Role overview

Qualifications

  • A PhD in Machine Learning, Artificial Intelligence, or an adjacent field
  • Experience working as a Machine Learning Engineer, AI Researcher, or similar role
  • Strong understanding of core Machine Learning and AI concepts
  • Ability to write clearly about complex technical topics

Responsibilities

  • Assessing the factual accuracy and relevance of AI-generated text
  • Crafting and answering advanced questions in Machine Learning and AI
  • Evaluating and ranking AI-generated responses based on correctness and clarity
  • Identifying errors and providing feedback to improve AI performance

About the company

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Anyone AI

We invest in talent from Latam to bridge the talent gap in AI. Join our AI community: www.anyoneai.com We are AI / ML experts and second-time entrepreneurs, members of the founding team at Deep Vision AI (acquired in early 2020). We've worked with many Fortune 500 companies completing multiple projects in the early days of AI while leveraging remote talent from LatAm. We are VC-backed from day 1 by top global investors like GFC -Global Founders Capital- (investors in Facebook, LinkedIn, Slack, Canva, Trivago, etc), Canvas Ventures (early investor in Coursera), Latitud Fund (the largest community of angel investors for LatAm including investments in QuintoAndar, La Haus, Clara, Platzi, OnTop, Pomelo, etc), among other investors.

Company details

Company size11 - 50

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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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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