Python, AI & Data Automation Expert — Hands-On Coach + Long-Term Collaborator
python, data-science, machine-learning, artificial-intelligence
Preferred qualifications
- Experience: Intermediate
We're looking for an experienced Python, AI, and data automation specialist who enjoys both building solutions and teaching others how to build them.
We work with large, complex datasets and want to explore how Python, AI, web scraping, APIs, and automated research can help us discover, enrich, validate, and maintain information more efficiently.
This is part technical consulting, part hands-on coaching, and part project execution.
I'm personally interested in learning how to build these workflows, not just outsourcing the work. Ideally, we'd collaborate through live working sessions, build real solutions together, and develop reusable tools our team can continue using.
For the right person, this could become a long-term relationship with frequent projects.
Example Projects
Large-scale data enrichment: Add missing attributes to datasets containing tens of thousands of records.
Automated research: Discover and extract structured information from websites, public databases, PDFs, and APIs.
Historical data: Research changes in entities, relationships, and attributes over time.
Entity matching: Identify duplicates, reconcile conflicting records, and match information across datasets.
Geographic data: Discover and enrich records based on specific geographic areas.
AI-powered workflows: Use LLMs and automation to accelerate research, extraction, classification, and validation.
Ongoing monitoring: Build repeatable processes to identify and track changes over time.
Skills & Experience
We're particularly interested in experience with:
Python, web scraping, APIs, and data automation
AI/LLM-powered research and structured data extraction
Data enrichment, entity resolution, and fuzzy matching
SQL, PostgreSQL, and large datasets
Data validation, source attribution, and quality assurance
Modern AI development tools such as Claude Code or Cursor
Experience with GIS, knowledge graphs, or large-scale research automation is a plus.
Teaching & Collaboration
This is especially important.
We're looking for someone who:
Enjoys teaching and explaining technical concepts.
Can collaborate through live screen-sharing sessions.
Can explain their approach and help evaluate different tools.
Is comfortable building solutions together rather than working entirely independently.
Can help me become more capable with Python, AI tools, and automation.
Writes understandable, reusable, well-documented code.
You don't need to be a professional instructor, but you should enjoy mentoring and helping others learn by doing.
Engagement
We'd like to begin with a small paid project using a real dataset.
The initial engagement would involve reviewing the data, designing an approach together, building a working prototype, and teaching me how to run and extend it.
We envision a combination of collaborative sessions and independent development.
If it's a good fit, we have a substantial pipeline of additional projects and would love to establish an ongoing relationship.
To Apply
Please share:
Examples of data enrichment, scraping, or AI automation projects you've built.
Your experience using LLMs or AI agents for research and data extraction.
Any experience coaching or mentoring others.
Your approach to automating enrichment of a dataset with 25,000+ records.
Your availability for live collaborative sessions.
We're looking for someone who enjoys solving interesting problems, sharing knowledge, and building practical, scalable solutions.
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