Vacancy description

Imported 2026-11-06 16:15:32.944841+00:00

The role Nebius Science is looking for an AI Science Writer based in the EU. This is an ongoing contract role with a fixed monthly retainer and opportunities for growth, including the potential to transition to a full-time position at Nebius. You may be an AI/ML researcher or engineer who moved into journalism, a computer science graduate with substantial editorial experience, or a technical writer who has worked directly with research teams. Whatever your path, you should be able to read a technical paper, understand the underlying method, assess its limitations, and turn it into a clear and compelling story. A central part of the role will be producing weekly reviews of new AI models, architectures, and in-house research. You should be able to identify what is genuinely new and explain how it works creatively across a range of formats. These reviews can be visual as well as written. You will be expected to develop clear, engaging infographics, diagrams, charts, and other multimedia elements, creating them yourself by using AI tools where appropriate or working with designers and multimedia producers. Your responsibilities will include: Produce scientific and technical reviews of new AI models, architectures, papers, in-house research and trends. Turn model architectures and complex technical ideas into clear visual narratives by developing infographics, diagrams, charts, and other multimedia components for your stories. Interview researchers, engineers, founders, and scientific leaders. Cover major research conferences, emerging fields, and important debates across the AI ecosystem. Write and edit across formats, including analytical reports, features, interviews, explainers, newsletters, webinar scripts, and social content. Host or moderate research webinars, interviews, and other on-camera formats. Work with researchers to verify technical claims while preserving a clear editorial voice. Collaborate with designers and multimedia producers on more complex visual stories. Experiment with models, agents, coding, and automation to improve research, editorial, and visual-production workflows. We expect you to have: Have professional or academic experience in AI/ML research, machine learning engineering, or a closely related technical field. Have a degree in computer science, machine learning, mathematics, physics, engineering, computational science, or another relevant technical discipline. Be comfortable reading papers, inspecting model architectures, comparing results, and discussing technical details directly with researchers. Have strong visual instincts and be able to explain technical mechanisms through diagrams, infographics, charts, or other multimedia formats. Write with precision and flair, using LLMs to support your work, not to do the writing for you. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement:

Full-text baseline

Classified 2026-11-07 12:47:23.136820+00:00

No Data or AI scopeNeeds review

The title has a broad keyword but professional Data/AI tasks were not established; review scope.

Skills suggested

  • AI application use
    Source passage

    You will be expected to develop clear, engaging infographics, diagrams, charts, and other multimedia elements, creating them yourself by using AI tools where appropriate or working with designers and multimedia producers.

Proposed e-CF links

Suggested links for review. They do not assess skill levels.

No e-CF links were suggested.

AI suggestion

Classified 2026-11-07 16:23:11.225411+00:00

AINeeds review

AI is supported by explicit model and research review duties. Data scope is not established: charts and analytical reports are described in an editorial context, without explicit data-analysis or BI tasks. Requirement importance is not clearly distinguished between mandatory requirements and preferences.

Skills suggested

  • Information reporting
    Source passage

    Write and edit across formats, including analytical reports, features, interviews, explainers, newsletters, webinar scripts, and social content.

  • Data visualisation
    Source passage

    Turn model architectures and complex technical ideas into clear visual narratives by developing infographics, diagrams, charts, and other multimedia components for your stories.

  • Needs and results communication
    Source passage

    Interview researchers, engineers, founders, and scientific leaders.

  • Workflow automation
    Source passage

    Experiment with models, agents, coding, and automation to improve research, editorial, and visual-production workflows.

  • AI application use
    Source passage

    Write with precision and flair, using LLMs to support your work, not to do the writing for you.

  • Machine learning development
    Source passage

    Have professional or academic experience in AI/ML research, machine learning engineering, or a closely related technical field.

Proposed e-CF links

Suggested links for review. They do not assess skill levels.

Other source passages

A central part of the role will be producing weekly reviews of new AI models, architectures, and in-house research.

Produce scientific and technical reviews of new AI models, architectures, papers, in-house research and trends.