AI-Powered Content Generation for Market Research
Summary
Freelancer Client is hiring: AI-Powered Content Generation for Market Research.
Location: Remote
AI Automation Engineer / AI Agent Developer (Market Research Content Automation)
Requirements:
• Build reliable and scalable AI workflows
• Design deterministic content pipelines
• Optimize token usage and API costs
• Implement modular section-wise content generation
• Maintain output consistency across multiple reports
• Create reusable prompt templates
• Develop basic QA/validation workflows
• Handle structured formatting logic
Nice to have:
• OpenAI API / Claude API
• n8n automation workflows
• Python scripting
• Prompt engineering
• Google Sheets API
Skills: Python, Copywriting, Technical Writing, Ghostwriting, Market Research, Content Writing, Prompt Engineering, AI Development
Budget: $1500–$12500 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Original
AI Automation Engineer / AI Agent Developer (Market Research Content Automation)
We are looking for an experienced AI Automation Engineer / AI Agent Developer to build a structured AI-powered content generation workflow for our market research publishing business.
The objective is to develop an automated system capable of generating high-quality market research report descriptions based on predefined templates, report titles, and segmentation structures.
The system should integrate with Google Sheets, extract market segments from report titles, and generate structured long-form content with standardized headings and formatting.
Project Scope
The AI workflow should be capable of:
Reading report titles from Google Sheets
Extracting:
Market name
Segments & subsegments
Regional scope
Forecast period
Industry taxonomy
Automatically generating structured report descriptions (~2500–3500 words)
Following predefined heading structures and formatting standards
Creating content section-by-section
Maintaining consistency in tone, formatting, and SEO structure
Exporting outputs to Google Docs or Sheets
Supporting future improvements and additional inputs
Example Heading Structure
The generated content will typically include:
Market Definition & Overview
Market Dynamics
Drivers
Restraints
Opportunities
Segment Analysis
Regional Scope
Competitive Landscape
Analyst Perspective
Preferred Technical Stack
Candidates with experience in the following are preferred:
OpenAI API / Claude API
n8n automation workflows
Python scripting
Prompt engineering
Google Sheets API
Google Docs integration
Structured JSON workflows
AI content automation systems
RAG (Retrieval-Augmented Generation) systems
Workflow orchestration
Experience with LangChain, CrewAI, AutoGen, or similar frameworks is a plus but not mandatory.
Key Requirements
The ideal candidate should be able to:
Build reliable and scalable AI workflows
Design deterministic content pipelines
Optimize token usage and API costs
Implement modular section-wise content generation
Maintain output consistency across multiple reports
Create reusable prompt templates
Develop basic QA/validation workflows
Handle structured formatting logic
Important Notes
This is NOT a generic chatbot project.
The system should focus on workflow automation and structured content generation.
Content quality, consistency, and scalability are critical.
The workflow should be optimized for cost-efficient large-scale generation.
Expected Deliverables
End-to-end automated workflow
Google Sheets integration
Segment extraction logic
AI content generation pipeline
Prompt architecture
QA/validation layer
Documentation for future scaling
Preferred Experience
Candidates with prior experience in any of the following are highly preferred:
Market research industry
SEO content automation
Long-form AI content generation
Publishing workflow automation
Knowledge base / RAG systems
Structured reporting systems
Engagement Type
Freelance / Contract
Remote
Potential long-term collaboration based on performance
To Apply
Please share:
Relevant portfolio/projects
AI automation workflows built previously
Experience with OpenAI APIs and n8n
Estimated timeline
Approximate project cost
Suggested technical architecture for this use case
Location & Details
Apply on source →About this listing
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