At a Glance
- Tasks: Implement AI tools and create accurate regulatory guidance content.
- Company: Barbour, a leader in health, safety, and environmental information.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with a focus on international legislation and quality standards.
- Why this job: Join a forward-thinking team and shape the future of regulatory content.
- Qualifications: Strong editing skills and knowledge of health and safety regulations.
The predicted salary is between 35000 - 45000 £ per year.
Barbour is seeking a proactive editor to help implement AI tools across the Editorial function.
You will define requirements, research key health, safety, environment and energy topics across multiple jurisdictions, and produce factual guidance content for professionals.
You’ll ensure accuracy, use defined templates, and work to deadlines.
The role focuses on creating and updating international content, researching legislation and official guidance, and applying Barbour standards for quality and
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Remote AI Content Architect for Regulatory Guidance employer: Vantify Limited
Barbour is an excellent employer that values its employees by fostering a collaborative and supportive work culture, particularly in the role of Remote Customer Onboarding & Data Specialist. With a focus on professional growth, employees are encouraged to develop their skills while contributing to a meaningful mission of simplifying EHS compliance for clients worldwide. The flexibility of remote work combined with access to comprehensive resources makes Barbour a unique and rewarding place to build a career.
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We think this is how you could land Remote AI Content Architect for Regulatory Guidance
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We think you need these skills to ace Remote AI Content Architect for Regulatory Guidance
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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