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Home Based Remote Recipe Developer Jobs (NOW HIRING)

AI Architect Claude Code Senior Developer

NY · On-site +1

$160K - $220K/yr

AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not ... Home office / equipment allowance Base Salary: $160,000 - $220,000 USD What Success Looks Like (6 ...

S2P Solutions Engineer - Long Term Contract (W2) - US-based Remote We are seeking an S2P Solutions Engineer to design and optimize Source-to-Pay (S2P) solutions on the Jaggaer platform. You'll ...

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Home Based Remote Recipe Developer information

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How much do home based remote recipe developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for home based remote recipe developer in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $59.62 per hour, depending on experience, location, and employer.

What is the difference between Home Based Remote Recipe Developer vs Food Blogger?

AspectHome Based Remote Recipe DeveloperFood Blogger
CredentialsCooking or culinary certifications often preferredNo formal credentials required
Work EnvironmentPrimarily remote, collaborating with brands or publishersMostly independent, online platform-based
Industry UsageUsed by food companies, publishers, and recipe platformsUsed by individuals sharing personal recipes and content
Search & Comparison IntentLooking for professional recipe development rolesSeeking personal blogging or content creation info

While both roles involve recipe creation, a Home Based Remote Recipe Developer typically works professionally for brands or publishers, often with culinary certifications, and focuses on developing recipes for commercial use. A Food Blogger operates independently, sharing personal recipes and content online without formal credentials. The former is more industry-focused, while the latter is more personal and content-driven.

What are some common challenges faced by home-based remote recipe developers, and how can they be overcome?

Home-based remote recipe developers often face challenges such as sourcing unique ingredients, maintaining creativity without in-person team collaboration, and ensuring recipe accuracy without direct test kitchen resources. To overcome these, many rely on networking with local suppliers, staying updated on food trends, and participating in virtual brainstorming sessions with culinary teams. Regular feedback from remote testers and thorough documentation of each recipe step also help maintain consistency and quality. Establishing a structured work routine and utilizing digital project management tools can further enhance productivity in a home-based setting.

What is a Home Based Remote Recipe Developer?

A Home Based Remote Recipe Developer is a culinary professional who creates, tests, and refines recipes from their own home rather than in a traditional test kitchen or office. They often work with food brands, magazines, websites, or meal kit companies to develop original recipes or adapt existing ones for specific audiences. This role requires strong cooking skills, creativity, and the ability to document and photograph recipes clearly for publication. Remote recipe developers typically collaborate with editors, nutritionists, and photographers online. The job offers flexibility, allowing professionals to manage their own schedules and work from anywhere with a suitable kitchen.

What are the key skills and qualifications needed to thrive as a Home Based Remote Recipe Developer, and why are they important?

To thrive as a Home Based Remote Recipe Developer, you need a strong background in culinary arts, recipe formulation, and food safety, often supported by formal culinary education or relevant experience. Familiarity with food photography, nutrition analysis software, and content management systems is typically important for creating and sharing recipes online. Creativity, attention to detail, and excellent written communication are crucial soft skills for developing original, clear, and engaging recipes. These skills ensure recipes are innovative, accurate, and accessible to a wide audience, supporting both user satisfaction and professional growth.
More about Home Based Remote Recipe Developer jobs
What cities are hiring for Home Based Remote Recipe Developer jobs? Cities with the most Home Based Remote Recipe Developer job openings:
What are the most commonly searched types of Remote Recipe Developer jobs? The most popular types of Remote Recipe Developer jobs are:
What states have the most Home Based Remote Recipe Developer jobs? States with the most job openings for Home Based Remote Recipe Developer jobs include:
Infographic showing various Home Based Remote Recipe Developer job openings in the United States as of June 2026, with employment types broken down into 69% Full Time, 30% Part Time, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $79,780 per year, or $38.4 per hour.

AI Architect Claude Code Senior Developer

BluZinc

NY • On-site, Remote

$160K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Job Description
AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not chatbots, not hype.
We are conducting a confidential search for an experienced AI Business, Solutions and Technical Architect to join a scaled, high-growth US consumer digital business. This role is for a former senior software engineer who now designs and builds production-grade, agentic AI systems. You will not be prompting and hoping for the best. You will be architecting the harness around the model so AI can reliably execute multi-step workflows at scale.
The Mission
Your mandate is to turn AI into a reliable operating system for the business.
Work will progress across three levels:
Level 1: Automate operational processes
Level 2: Automate complex but binary workflows (clear right/wrong outcomes)
Level 3: Apply AI to creative, non-binary work with verification, control, and measurement
Success is defined by measurable wins, not impressive demos
What You Will Do
Architect and build agentic AI systems using Claude Code
Design the AI harness, including:
State management
Context management (preventing context rot)
Tool orchestration
Error recovery strategies
Verification and validation loops
Failure reflection and learning
Define SOPs and system logic before building agents
Apply context engineering (ACE) so AI receives only what it needs - no more, no less
Convert non-binary business problems into binary, measurable questions
Ensure continuous improvement, performance tracking, and cost optimization
Act as the bridge between product vision and technical execution
Required Background
Be US-based (remote within the US)
Have a strong background as a software engineer / senior developer
Have hands-on production experience with Claude Code
Understand that AI ≠ chat
Be able to clearly define a "win" and measure it
Strong experience across:
LLM & reasoning model fundamentals
Agentic system design and orchestration
APIs, integrations, data architecture, and security
Python, TypeScript / JavaScript, SQL
Cloud platforms (AWS, GCP, or Azure)
How You Think
Build systems and SOPs before agents
Prefer principles over tools
Avoid over-engineering
Read source material, not shiny YouTube summaries
Can deliver an actionable, measurable improvement within 48 hours
Red flags we screen out:
Vague specifications
Tool or framework zealotry
Cool demos that don't survive production
Research-only or academic profiles
Over-engineered solutions
Compensation & Benefits
Bonus:
10-20% annual performance bonus
Based on company results and individual system impact
Benefits include:
Medical, dental, vision insurance
401(k) with employer contribution
Generous PTO and holidays
Fully remote (US-based)
Home office / equipment allowance
Base Salary:
$160,000 - $220,000 USD
What Success Looks Like (6-12 Months)
Multiple AI systems running in production
High multi-step success rates across workflows
Measurable operational or revenue impact
AI treated as infrastructure, not experimentation