Amplify focus: act as Editor-in-Chief-using AI to rigorously test assumptions and retire ideas that do not genuinely serve the user's workflow in a way that works for the business. * Amplify ...
Amplify focus: act as Editor-in-Chief-using AI to rigorously test assumptions and retire ideas that do not genuinely serve the user's workflow in a way that works for the business. * Amplify ...
Remote Editor information
See Moline, IL salary details
$32.1K - $37.9K
4% of jobs
$37.9K - $43.8K
13% of jobs
$45.6K is the 25th percentile. Wages below this are outliers.
$43.8K - $49.7K
26% of jobs
The median wage is $52.1K / yr.
$49.7K - $55.6K
17% of jobs
$55.6K - $61.4K
13% of jobs
$62.9K is the 75th percentile. Wages above this are outliers.
$61.4K - $67.3K
9% of jobs
$67.3K - $73.2K
9% of jobs
$73.2K - $79K
3% of jobs
$79K - $84.9K
0% of jobs
$84.9K - $90.8K
2% of jobs
$90.8K - $96.7K
3% of jobs
$32.1K
$57.8K
$96.7K
How much do remote editor jobs pay per year?
As of Jul 16, 2026, the average yearly pay for remote editor in Moline, IL is $57,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,200.00 and $65,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Remote Editor, and why are they important?
To thrive as a Remote Editor, you need strong language proficiency, attention to detail, and experience with editing standards, often supported by a degree in English, journalism, or a related field. Familiarity with editing software such as Microsoft Word, Google Docs, and content management systems (CMS) is commonly required. Excellent communication, time management, and self-motivation are important soft skills for managing deadlines and collaborating virtually. These skills ensure high-quality, error-free content and effective teamwork in a remote work environment.
What are some common challenges faced by remote editors, and how can they be managed effectively?
Remote editors often encounter challenges such as coordinating with writers and other team members across different time zones, maintaining clear communication, and managing multiple projects simultaneously. To address these challenges, it’s important to establish regular check-ins, use collaborative editing tools, and set clear expectations regarding deadlines and feedback. Proactive communication and strong organizational skills are key to ensuring projects stay on track and maintaining a positive workflow in a remote environment.
What are Remote Editors?
Remote Editors are professionals who review, revise, and improve written content from a remote location, usually working online rather than in a traditional office setting. Their tasks include checking for grammar, spelling, punctuation, clarity, and consistency in various types of documents such as articles, books, reports, and marketing materials. They often collaborate with writers, publishers, or content teams via digital communication tools. Remote Editors need strong language skills, attention to detail, and proficiency with editing software. This flexible work arrangement allows them to serve clients from anywhere in the world.
What Is the Job of Remote Editors?
A remote editor’s job is to improve written communication for their employer. Unlike in-house editors, remote editors work from home or another location outside the office. Remote editors work on all types of written formats, such as books, articles, websites, corporate publications, training manuals, legal documents, and scientific papers. The specific tasks of an editor include correcting spelling, grammar, and punctuation errors; fact-checking; and rewriting unclear sentences. Background knowledge in the subject matter of the materials is essential for an editor to be able to take what was written and make it clear, organized, and appropriate for the target audience.
What is the difference between Remote Editor vs Remote Content Writer?
| Aspect | Remote Editor | Remote Content Writer |
|---|---|---|
| Primary Role | Reviewing, editing, and refining content for clarity, accuracy, and style | Creating original content such as articles, blog posts, and marketing copy |
| Required Skills | Strong editing, grammar, and language skills; attention to detail | Excellent writing, research, and creativity skills |
| Work Environment | Typically collaborates with writers and publishers remotely | Works independently to produce content for websites, blogs, or clients |
| Common Usage | Used by publishing houses, media companies, and content agencies | Used by marketing firms, blogs, and online publishers |
Remote Editors focus on refining and improving existing content, ensuring quality and consistency. Remote Content Writers create original content from scratch. Both roles often work remotely and require strong language skills, but their core responsibilities differ significantly.
More about Remote Editor jobs
What are popular job titles related to Remote Editor jobs in Moline, IL? For Remote Editor jobs in Moline, IL, the most frequently searched job titles are:
What job categories do people searching Remote Editor jobs in Moline, IL look for? The top searched job categories for Remote Editor jobs in Moline, IL are:
What cities near Moline, IL are hiring for Remote Editor jobs? Cities near Moline, IL with the most Remote Editor job openings:
Deloitte rating
8.1
Based on 90 frontline employees who took The Breakroom Quiz
59th of 148 rated financial services
Job description
An Applied AI Product Manager is a senior individual contributor responsible for ensuring a product's value and viability within a product line. This role involves leading empowered, cross-functional product teams to solve moderate complexity customer problems that align with high value business needs. The Applied AI Product Manager is accountable for the product's success, from vision to execution, and collaborates closely with various functions and stakeholders to deliver valuable, viable, usable, and feasible solutions. The Applied AI Product Manager harnesses AI and agentic tools to compress the concept-to-cash learning loop-automating analysis, prototyping, and compliance detail-work so the team can focus on the human judgment AI cannot replace: product sense-making.
The Applied AI Product Manager plays a crucial role in ensuring the success of our high value, moderately complex products by balancing customer needs with business objectives. This role requires a blend of strategic vision, analytical skills, and collaborative teamwork to deliver valuable, viable, usable, and feasible solutions. It demands significant experience in the modern product management craft and a drive for continuous improvement-amplified by the fluent, responsible use of AI to learn faster and earn faster.
Recruiting for this role ends on 9/30/2026.
Work you'll do
- Product Accountability
- Responsible and accountable for the product's value and viability showcasing a measurable Return on Investments (ROI)
- Drive strategy-aligned solutions to achieve product value objectives.
- Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve.
- Measure KPIs and analyze outcomes to inform future strategies.
- Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO).
- Vision and Strategy
- Co-create, own, and evangelize the product vision, strategy, and roadmap, using AI to deepen domain knowledge and simulate future scenarios to chart pathways others have not yet seen.
- Align product objectives with the product line and business goals.
- Co-create in collaboration with business stakeholders, engineering, experience, and delivery.
- Use AI to expedite research, gather evidence, bolster domain knowledge, and craft and innovative visions backed by compelling strategic rationale.
- Market and User Engagement
- Conduct user research and competitive analysis, using AI agents to synthesize research at speed-accelerating the data crunching, ensuring the human connection.
- Engage the team with users and stakeholders through continuous research and direct interactions.
- Collaborate and guide the team toward solutions that address priority user and business needs.
- Apply analytical skills to analyze data and derive actionable insights, shifting from waiting on analysis to working on insights.
- Adopt innovative and experimental approaches to solving complex problems, including AI-built, disposable prototypes that validate solutions quickly and retire bad ideas just as fast.
- Collaboration and Teamwork
- Work side-by-side with cross-functional (business, engineering, experience, and delivery) team members to achieve KPI outcomes.
- Promote a product operating model that emphasizes outcomes over output (minimize overproduction while maximizing value).
- Build empowered teams and product communities who exhibit collective product ownership and level-up their outcome potential through AI and agentic tools
- Continuous Improvement
- Promote and drive rapid, emergent, and ongoing learning and adaptation to meet objectives.
- Drive innovation and improvement of the process to drive out waste and accelerate value achievement, using AI as a force-multiplier to offload the repetitive, speed up the sluggish, and automate the mundane.
- Remove obstacles for the team and ensure smooth flow of continuous value achievement.
- Spread knowledge and best practices within the product vertical community.
- Applied AI Ways of Working
- Amplify innovation: use AI to rapidly deepen domain knowledge, surface untapped market and user potential, and simulate future scenarios-charting new pathways for the business.
- Amplify learning: use AI agents to synthesize research and validate ideas before they enter the backlog-compressing lead time by accelerating the data crunching, ensuring the human connection.
- Amplify focus: act as Editor-in-Chief-using AI to rigorously test assumptions and retire ideas that do not genuinely serve the user's workflow in a way that works for the business.
- Amplify experimentation: use AI to build early, functional, disposable prototypes that validate the architecture and the solution, playing a key role in the Agentic Secure Software Development Life Cycle that paves a clear path to productionize early and often.
The successful candidate will possess:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte Product Engineering (PxE) is developing advanced, agentic AI-enabled solutions that are redefining the future of work across our organization and for global clients. We are committed to bringing together outstanding product, engineering, and design talent to lead this transformation.
Qualifications
Required:
- Bachelor's degree in business, Marketing, Engineering, or a related field.
- 6+ years of proven experience in lean product management or related roles.
- 3+ years enterprise scale experience across multiple business areas.
- 1+ years of building AI based intelligent products
- 1+ year's experience in using GenAI tools to perform product management tasks like conduct idea research, shaping, synthesis, roadmaps, requirements, prototyping, testing
- Limited immigration sponsorship may be available
- Ability to travel 0-20%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred:
- MBA or related advanced degree
- Demonstrated experience in modern product craft of delivering the right thing, in the right way, at the right time. Significant experience in lean product management craft and domain (tools, methods, and practices). Seen as a leader in this space.
- Proven accountability for value, viability and P&L objectives for a product and for an empowered product team.
- Customer-Centricity: Deep understanding of customer needs and engagement patterns, driving teams to deliver solutions that customers love and that work for the business. Expertise in applying customer-centric methods and practices.
- AI Agentic Fluency: Comfortable orchestrating multiple AI agents across the concept-to-cash flow (research, insight, prototyping, specification, coding, and compliance), with guardrails at each hand-off-assumptions, confidence levels, and links to sources of truth.
- AI Realism and Eval Fluency: Understands the difference between deterministic logic and probabilistic generation; designs guardrails for hallucination, bias, and drift; uses evaluation harnesses before launch and monitors drift after, with a kill-switch mentality-and knows when not to use AI.
- Experience with modern agentic AI tools such as Claude Code, Claude Co-work, Open AI Codex Cursor, and Visual Studio Code.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:
An Applied AI Product Manager is a senior individual contributor responsible for ensuring a product's value and viability within a product line. This role involves leading empowered, cross-functional product teams to solve moderate complexity customer problems that align with high value business needs. The Applied AI Product Manager is accountable for the product's success, from vision to execution, and collaborates closely with various functions and stakeholders to deliver valuable, viable, usable, and feasible solutions. The Applied AI Product Manager harnesses AI and agentic tools to compress the concept-to-cash learning loop-automating analysis, prototyping, and compliance detail-work so the team can focus on the human judgment AI cannot replace: product sense-making.
The Applied AI Product Manager plays a crucial role in ensuring the success of our high value, moderately complex products by balancing customer needs with business objectives. This role requires a blend of strategic vision, analytical skills, and collaborative teamwork to deliver valuable, viable, usable, and feasible solutions. It demands significant experience in the modern product management craft and a drive for continuous improvement-amplified by the fluent, responsible use of AI to learn faster and earn faster.
Recruiting for this role ends on 9/30/2026.
Work you'll do
- Product Accountability
- Responsible and accountable for the product's value and viability showcasing a measurable Return on Investments (ROI)
- Drive strategy-aligned solutions to achieve product value objectives.
- Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve.
- Measure KPIs and analyze outcomes to inform future strategies.
- Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO).
- Vision and Strategy
- Co-create, own, and evangelize the product vision, strategy, and roadmap, using AI to deepen domain knowledge and simulate future scenarios to chart pathways others have not yet seen.
- Align product objectives with the product line and business goals.
- Co-create in collaboration with business stakeholders, engineering, experience, and delivery.
- Use AI to expedite research, gather evidence, bolster domain knowledge, and craft and innovative visions backed by compelling strategic rationale.
- Market and User Engagement
- Conduct user research and competitive analysis, using AI agents to synthesize research at speed-accelerating the data crunching, ensuring the human connection.
- Engage the team with users and stakeholders through continuous research and direct interactions.
- Collaborate and guide the team toward solutions that address priority user and business needs.
- Apply analytical skills to analyze data and derive actionable insights, shifting from waiting on analysis to working on insights.
- Adopt innovative and experimental approaches to solving complex problems, including AI-built, disposable prototypes that validate solutions quickly and retire bad ideas just as fast.
- Collaboration and Teamwork
- Work side-by-side with cross-functional (business, engineering, experience, and delivery) team members to achieve KPI outcomes.
- Promote a product operating model that emphasizes outcomes over output (minimize overproduction while maximizing value).
- Build empowered teams and product communities who exhibit collective product ownership and level-up their outcome potential through AI and agentic tools
- Continuous Improvement
- Promote and drive rapid, emergent, and ongoing learning and adaptation to meet objectives.
- Drive innovation and improvement of the process to drive out waste and accelerate value achievement, using AI as a force-multiplier to offload the repetitive, speed up the sluggish, and automate the mundane.
- Remove obstacles for the team and ensure smooth flow of continuous value achievement.
- Spread knowledge and best practices within the product vertical community.
- Applied AI Ways of Working
- Amplify innovation: use AI to rapidly deepen domain knowledge, surface untapped market and user potential, and simulate future scenarios-charting new pathways for the business.
- Amplify learning: use AI agents to synthesize research and validate ideas before they enter the backlog-compressing lead time by accelerating the data crunching, ensuring the human connection.
- Amplify focus: act as Editor-in-Chief-using AI to rigorously test assumptions and retire ideas that do not genuinely serve the user's workflow in a way that works for the business.
- Amplify experimentation: use AI to build early, functional, disposable prototypes that validate the architecture and the solution, playing a key role in the Agentic Secure Software Development Life Cycle that paves a clear path to productionize early and often.
The successful candidate will possess:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic enviro...