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From Home Python Ai information
See salary details
$13.22 - $19.86
1% of jobs
$19.86 - $26.51
0% of jobs
$26.51 - $33.15
2% of jobs
$33.15 - $39.79
5% of jobs
$39.79 - $46.44
11% of jobs
$48.39 is the 25th percentile. Wages below this are outliers.
$46.44 - $53.08
18% of jobs
The median wage is $56.55 / hr.
$53.08 - $59.72
24% of jobs
$64.80 is the 75th percentile. Wages above this are outliers.
$59.72 - $66.37
18% of jobs
$66.37 - $73.01
13% of jobs
$73.01 - $79.65
5% of jobs
$79.65 - $86.30
3% of jobs
$13
$58
$86
How much do from home python ai jobs pay per hour?
What is the difference between From Home Python Ai vs Data Analyst?
| Aspect | From Home Python Ai | Data Analyst |
|---|---|---|
| Required Skills | Python, AI, machine learning, data processing | Excel, SQL, data visualization, statistical analysis |
| Work Environment | Remote, tech-focused | Remote or on-site, business or corporate setting |
| Certifications | Python certifications, AI/machine learning courses | Data analysis, Excel, SQL certifications |
From Home Python Ai and Data Analyst roles share some technical skills like data handling but differ mainly in focus. From Home Python Ai emphasizes AI and machine learning, while Data Analysts focus on data interpretation and visualization. Both roles can be remote and require relevant certifications, but their core responsibilities and tools differ significantly.
What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?
What is a work from home Python AI job?
How does working remotely as a Python AI developer influence collaboration and communication with team members?
Other
Re-posted yesterday
Job description
Jahnel Group's mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work.
Who We're Looking ForWe're looking for a Founding Engineer to help build the core data and AI infrastructure powering how healthcare policy information is structured, queried, and used in production systems.
This is a high-ownership role in an early-stage environment where you will work directly with founders, define core architecture decisions, and build systems from the ground up. You'll be responsible for turning complex, unstructured healthcare data into reliable, AI-powered infrastructure that scales.
This role is ideal for someone who thrives in ambiguity, enjoys building end-to-end systems, and is excited about applying modern AI/LLM techniques to real-world data problems.
Primary Responsibilities- Design and build core backend systems using Python and SQL
- Build and scale data ingestion pipelines for unstructured healthcare policy data
- Define and evolve data models, schemas, and APIs for long-term platform scalability
- Build AI-powered pipelines using LLMs, embeddings, and RAG architectures
- Develop evaluation frameworks for LLM systems (testing, benchmarking, monitoring, QA workflows)
- Improve data quality, traceability, and system reliability across the platform
- Rapidly prototype and productionize new ideas in close collaboration with founders
- Build systems for auditability, explainability, and validation of AI-generated outputs
- Continuously iterate on architecture, performance, and product direction
- 5+ years of experience building backend or data-heavy systems
- Strong proficiency with Python, SQL, and Postgres
- Experience building data pipelines and data-driven software systems
- Hands-on experience with AI/LLM systems (RAG, embeddings, prompt engineering, evals, hallucination mitigation)
- Strong system design and architecture skills
- Experience working with cloud infrastructure (AWS preferred)
- Strong product mindset and ability to make tradeoffs between technical and business value
- Comfort working in highly ambiguous, fast-paced environments
- Proven ability to own projects end-to-end without heavy direction
- Experience in healthcare, payer/provider, or health tech domains
- Startup or early-stage founding team experience
- Experience with FastAPI or similar backend frameworks
- Familiarity with modern data warehouses (e.g., Snowflake)
- Exposure to TypeScript/React frontend development
- Experience with Terraform or infrastructure-as-code
- Experience with containerized systems and orchestration
- New York
This is a high-impact founding role working directly with company leadership. Expect fast iteration, high autonomy, and significant ownership of core systems. Work hours align with US collaboration needs.
Position available immediately.
About Jahnel Group
Sourced by ZipRecruiter
Company size
11 - 50 Employees
Headquarters location
Schenectady, NY, US
Year founded
2009