Staff Writer, Home (Remote)

AI overview

Produce engaging content on home services, guiding readers through informed decisions while collaborating closely with editorial leadership and maintaining high-quality standards.

Forbes Home is looking for a part-time staff writer with a background in digital content creation, writing, reporting and SEO best practices. This is for a 10-month contract for 30 hours a week. The ideal candidate should have expertise in a range of home services topics including moving, car shipping, home warranty, home security, solar and internet, and the ability to break complex topics down in a digestible way. 

At Forbes Home, we want to guide our readers to make smart, informed home decisions through best-ofs, product reviews, engaging content and data-driven journalism. In this role, you’ll be responsible for delivering 3-4 pieces of well-researched and well-written home content per week, working within the Forbes Home editorial team. If you’re passionate about service journalism and you're looking for challenges and opportunities similar to those of a startup, with the benefits of a seasoned and successful company, then read on: 

Responsibilities:

  • Write helpful, accurate and engaging best-ofs, product reviews and product comparisons 
  • Consistently write and publish high-performing content that drives traffic and engagement, and update stories with timely information as needed 
  • Work collaboratively with fellow writers and editorial leadership to ensure output meets Forbes Home’s quality standards, reporting to a Managing Editor 

Requirements:

  • A portfolio that displays your writing proficiency and ability to tell compelling stories 
  • Ability to turn complex home topics into easily digestible snippets 
  • Creative vision that aligns with Forbes Home’s editorial tone, voice and vision 
  • Experience with SEO best practices preferred 
  • Extremely organized and detail-oriented 
  • Nimble and open to quick changes in strategy 
  • Ability to work in a startup environment 

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

#LI-REMOTE #LI-NM1

Forbes Advisor is looking for a Data Research Engineer - Data Extraction to join the Forbes Marketplace Performance Marketing team with a focus on supporting one of Forbes business verticals. If you're looking for challenges and opportunities similar to those of a start-up, with the benefits of an established, successful company read on.We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.The Data Extraction Team is a brand new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization.A typical day in the life of a Data Research Engineer will involve acquiring and integrating data from various sources, developing and maintaining data processing workflows, and ensuring data quality and reliability. They collaborate with the team to identify effective data acquisition strategies and develop Python scripts for data extraction, transformation, and loading processes. They also contribute to data validation, cleansing, and quality checks. The Data Research Engineer stays updated with emerging data engineering technologies and best practices. 

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