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Part Time Ai Developer Jobs in Rutherford, NJ (NOW HIRING)

Retensa

AI Product Intern: Fall 2026

New York, NY · On-site

$500 - $1.0K/wk

Work with cross-functional teams, including developers and QA, to ensure product shipped meets ... week (part-time). A stipend of $500-$1000 will be provided upon completion of the internship.

SPS North America

Service Now Developer (Lead)

New York, NY · On-site

$50 - $60/hr

Paid Time Off: Full time: Minimum of 80 hours/calendar year. Part time/temporary: Minimum of 1 hour ... No AI or automated decision-making tools are used to screen, assess, or select candidates for this ...

SPS North America

Service Now Developer (Lead)

New York, NY · On-site

$50 - $60/hr

Paid Time Off: Full time: Minimum of 80 hours/calendar year. Part time/temporary: Minimum of 1 hour ... No AI or automated decision-making tools are used to screen, assess, or select candidates for this ...

Fora

Senior Product Manager, AI Agents & Data

New York, NY · On-site

$160K - $200K/yr

... or part-time. We're mission-driven and obsessed with our customers, and we believe humans and AI ... Partner with data science, engineering, and analytics to shape models, signals, and data products.

TEGNA Inc.

Lead BI/Data/Web Developer

New York, NY · On-site

$130K - $155K/yr

Integrate BI Portal with backend AI Agents to facilitate user interaction via text prompts ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

Fora

Engineering Manager, Platform

New York, NY · On-site

... or part-time. We're mission-driven and obsessed with our customers, and we believe humans and AI ... developer experience that powers Fora's entire product suite. Our platform spans cloud ...

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Part Time Ai Developer information

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$53

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How much do part time ai developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for part time ai developer in Rutherford, NJ is $53.87, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $65.91 per hour, depending on experience, location, and employer.

What is a part time AI developer?

A Part Time AI Developer is a professional who works on artificial intelligence projects, such as developing machine learning models, natural language processing tools, or AI-powered applications, but does so on a part-time basis. These developers may work for a single company, as freelancers, or on multiple projects at once. The role typically requires programming skills, knowledge of AI frameworks, and experience with data analysis, but allows for flexible hours. Part time AI Developers are in demand for startups, research teams, and organizations that need AI expertise without a full-time commitment.

What do part time AI developers do?

As a part-time AI Developer, you’ll typically be involved in tasks such as developing and testing machine learning models, assisting with data preprocessing, and collaborating with full-time engineers or data scientists on ongoing projects. You may also be responsible for implementing algorithms, conducting research to improve model performance, and helping to integrate AI solutions into existing systems. The part-time nature of the role often means working on specific modules or features rather than overseeing end-to-end product development, and you’ll likely participate in regular meetings to align with the broader team’s goals. This structure allows for valuable hands-on experience while maintaining a flexible schedule.

What skills and qualifications are needed to be a part time AI developer?

To thrive as a Part Time AI Developer, you need a solid background in computer science, programming (especially Python), and foundational knowledge in machine learning or data science, often supported by a relevant degree or coursework. Familiarity with frameworks like TensorFlow or PyTorch, version control systems like Git, and cloud platforms such as AWS or Azure is typically required. Strong problem-solving abilities, time management, and effective communication are crucial soft skills for success in a flexible, project-based environment. These skills and qualities enable you to deliver high-quality AI solutions efficiently while collaborating remotely or across teams.

What are the most commonly searched types of Ai Developer jobs in Rutherford, NJ?

The most popular types of Ai Developer jobs in Rutherford, NJ are:

Part Time Ai Developer jobs near you
Infographic showing various Part Time Ai Developer job openings in Rutherford, NJ as of September 2026, with employment types broken down into 1% Internship, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 57% Physical, 14% Hybrid, and 29% Remote job distribution, with an average salary of $112,041 per year, or $53.9 per hour.

Forward Deployed Engineering Expert (part-time)

New York, NY • On-site, Remote

TripleTen
See more jobs at TripleTenexternal

$114K - $157K/yr

Part-time

Posted 16 days ago

Job description

Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners - people with no prior tech background - through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We're looking for the person who brings a Forward Deployed Engineering curriculum to life for students: hosts the group live events, reviews the work, runs the solution design and delivery reviews, and sets the technical bar for the people supporting alongside you. The curriculum is built by a team of senior authors.
This is a teaching and reviewing role. You'll be the senior technical presence students learn from week to week. You'll run group live events, give real engineering feedback on student deployment deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually gone into client environments and carried AI deployments to production, has opinions about what a sound deployment looks like, and can tell an experienced engineer why their approach is wrong.
Your audience: Working production engineers, not career changers, with six to fifteen years in, mostly backend, with senior and staff engineers and the occasional engineering manager. They've shipped real software for years and are moving deliberately into forward-deployed AI work; some are already interviewing for FDE roles while they study. What they're missing is agentic systems and the client-facing half of delivery.
Format: Group live events, 1:1s, and workshops timed around US Eastern Time - mostly 2:00 PM to 9:00 PM ET. Estimated 5 to 15 hrs/week.
Please submit all resumes or CVs in English.
What you will do
  • Host live events focused on deploying AI systems inside a client's environment: discovery and scoping, agentic architecture, integration with enterprise systems, rollout, and adoption.
  • Run 1:1 sessions and tech mock interviews for students working through projects.
  • Review student projects against rubrics, including the client-facing side of the work: scoping decisions, demos, and how they explain a system to a non-technical stakeholder.
  • Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point.

Requirements
  • 7+ years of professional engineering experience, currently working at senior level or above (Senior/Lead/Staff Engineer, Forward Deployed Engineer, Solutions Architect, or technical lead on customer-facing delivery).
  • Has personally owned deployments end-to-end in real client or enterprise environments - first call through production go-live and adoption.
  • Depth across the FDE spine: customer discovery and design sessions, scoping and delivery planning under ambiguity, stakeholder management without formal authority; LLM and agent systems in production (prompting, tool/function calling, orchestration frameworks such as LangGraph/LangChain/CrewAI, guardrails, evals, RAG over enterprise data); APIs and integrations (REST, webhooks, JSON/GraphQL), Python, and deployment on at least one major cloud.
  • Can explain why an architecture or scoping decision was made, not just how it was implemented, and can diagnose and critique someone else's work live.
  • Strong technical communication: translating between technical and business audiences, comfortable leading a live session, whiteboarding a solution, and writing clear, specific review feedback.
  • Strong English C1+ - instruction and review are in English for a US-based audience.
  • Comfortable using AI tools in day-to-day technical work.

Preferred experience:
  • Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring engineers, bootcamp or workshop instruction.
  • Has worked embedded within a customer team as their primary technical resource, or held a customer-facing engineering role (solutions engineer, solutions architect, technical consultant).
  • Production experience with agentic frameworks (LangGraph, LangChain, CrewAI) and MCP-based tool integrations into client systems.
  • Work experience at a recognizable company.
  • Familiarity with online education platforms or running programs.

What we can offer you
  • Fully remote work, with live sessions scheduled within US afternoon and evening hours.
  • A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth.
  • Professional trust and autonomy: no micromanaging.
  • A diverse, international, close-knit team excited to work with you!

Apply