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Python Volunteer Jobs (NOW HIRING)

Witherite Law Group

AI Developer

Dallas, TX · On-site

Design, build, and maintain Python-based automation scripts and tools. * Architect and implement ... Voluntary Critical Illness, Accident, and Hospital Indemnity Coverage * 401(k) with company ...

Eliassen Group

AI Consultant II

Charlotte, NC · On-site +1

$70 - $80/hr

Proficiency in Python for AI development. * Knowledge of AWS services and tools for machine ... voluntary benefits including life and disability insurance, 401(k) with match, and sick time if ...

Herbalife

Prompt Engineer, AI

Los Angeles, CA · Remote

... Python for prompt automation and testing • Experience with LLM APIs (OpenAI, Anthropic, Azure ... Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock ...

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How much do python volunteer jobs pay per hour?

As of May 31, 2026, the average hourly pay for python volunteer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python Volunteer job?

A Python Volunteer job involves contributing programming skills to assist organizations, nonprofits, or open-source projects. Volunteers may help with coding, debugging, data analysis, automation, or software development. These roles are often unpaid but provide valuable experience, networking opportunities, and a chance to support meaningful initiatives. Tasks can range from writing scripts to improving existing codebases or collaborating on community-driven projects.

What are the key skills and qualifications needed to thrive in the Python Volunteer position, and why are they important?

To thrive as a Python Volunteer, you should possess a solid understanding of Python programming fundamentals, problem-solving abilities, and experience with version control systems like Git. Familiarity with collaborative tools such as GitHub, Jupyter Notebooks, and code review platforms is often beneficial, and relevant certifications or experience in open-source contributions can be advantageous. Strong communication skills, reliability, and a passion for learning make a volunteer stand out in team and community-driven environments. These abilities are crucial for contributing effectively, working with diverse teams, and making a positive impact on projects and the organization.

What kinds of projects do Python Volunteers typically work on, and how is the workload managed?

Python Volunteers often assist with a variety of projects such as data analysis, writing or improving scripts, developing web applications, or supporting open-source software initiatives. Work assignments are usually flexible and tailored to match both your skills and the organization’s needs, with tasks ranging from bug fixing to feature development. Teams may use project management tools like Trello or Slack to assign tasks and facilitate communication among volunteers. As a Python Volunteer, you’ll frequently collaborate with other developers and sometimes with non-technical team members, which enhances the learning experience and fosters a supportive environment. This structure allows volunteers to contribute at their own pace while still delivering valuable outcomes.
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Python Volunteer jobs near you
Infographic showing various Python Volunteer job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 72% Physical, 6% Hybrid, and 22% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Generative AI Solutions Developer

KX Inc.

New York, NY • Hybrid

Other

Medical

Posted 27 days ago

Job description

About KX

KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.

KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific. 

Overview Of The Role

Own the end-to-end technical design for large-language-model (LLM) and generative-AI solutions across NVIDIA, AWS, Azure and GCP stacks. You will translate business use-cases into secure, scalable architectures, lead reference implementations, and mentor delivery teams for enterprise deployments-especially in financial-services environments.

Key Responsibilities 

  • Shape multi-cloud architectures for training, fine-tuning and serving LLMs (e.g., NeMo, Bedrock, Azure OpenAI, Vertex AI).
  • Define MLOps/GitOps patterns for model lifecycle, vector-DB indexing, retrieval-augmented generation (RAG) and guard-railing. Benchmark and cost-optimize GPU, Grace Hopper and CPU clusters (TCO & carbon impact).Build production pipelines in Python (FastAPI, LangChain, Ray, Triton, Airflow).
  • Establish security and compliance controls (encryption, IAM, SOC 2, FINRA,GDPR).
  • Support pre-sales and proofs-of-concept with capital-markets clients.

Skills 

Programming

  • Python (must-have)
  • JavaScript / TypeScript (for web + full-stack AI apps)
  • Writing clean, testable code

Math & ML Basics

  • Linear algebra (vectors, matrices, embeddings)
  • Probability & statistics
  • ML concepts: overfitting, loss functions, training vs inference

Data Skills

  • Data cleaning & preprocessing
  • Pandas, NumPy
  • SQL basics

Essential Experience

  • 10-15 yrs building cloud-native data or ML platforms on AWS, Azure and/or GCP. Deep expertise in Python plus one of Go, Java
  • or C++.Hands-on with embedding models, tokenizer optimisation, prompt orchestration and OpenAI/Anthropic APIs. Prior delivery of enterprise Gen-AI systems (risk analytics, chatbots, document generation etc.).Solid grounding in distributed systems (K8s, service mesh, Kafka, Redis, GPU scheduling).

Preferred Qualifications

  • Experience with kdb+/q, ClickHouse or similar time-series stores. Contributions to open-source AI frameworks or NVIDIA NGC containers. Working knowledge of SRE/FinOps best practice.

Location & Workplace Type

This position takes on a Hybrid working model based in Ontario, Canada.

Why Choose KX  

Data Driven: We lead with instinct and follow fact. 

Naturally Curious: We lean in, listen and learn fast. 

All In: We take ownership, take on challenges and give it our all.  

Benefits 

  • Competitive Salary
  • Individually tailored training and skills development
  • Private healthcare package and Employee Assistance Programme
  • Enhanced maternity and paternity package
  • Wellness Days and Volunteer Days

About KX

Sourced by ZipRecruiter

Industry

Manufacturing

Company size

11 - 50 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2020

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