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Part Time Edge Ai Machine Learning Jobs (NOW HIRING)

Implicit

AI Engineer (US-Based / Part-Time)

Solid understanding of NLP, machine learning, and modern deep learning techniques. * Hands-on ... Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team ...

Implicit

AI Engineer (US-Based / Part-Time)

Solid understanding of NLP, machine learning, and modern deep learning techniques. * Hands-on ... Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

This role is for one of our clients Compensation: $80-$110 per hour Join a cutting-edge AI research ... This is a part-time, fully remote opportunity requiring approximately 20 hours per week

TripleTen

$152K/yr

We're looking for the person who brings an AI and Machine Learning curriculum to life for students: hosts the live sessions, reviews the work, runs the model and system review boards, and sets the ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

As an AI/Machine Learning Engineer, you'll lead the design, development, and deployment of advanced ... Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization ...

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Part Time Edge Ai Machine Learning information

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$25.5K

$42.6K

$88K

How much do part time edge ai machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for part time edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Edge Ai Machine Learning vs Part Time Data Analyst?

AspectPart Time Edge Ai Machine LearningPart Time Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of AI/ML frameworksDegree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, startups, or AI-focused firms; often remote or flexible hoursBusiness, finance, healthcare sectors; typically office or remote
Employer & Industry UsageAI development, machine learning projects, tech industryBusiness intelligence, reporting, data-driven decision making

Part Time Edge Ai Machine Learning roles focus on developing and implementing AI models, requiring technical skills in machine learning frameworks. In contrast, Part Time Data Analyst positions emphasize analyzing data sets to generate insights, often with a focus on reporting. Both roles are in high demand but serve different functions within organizations.

More about Part Time Edge Ai Machine Learning jobs

What are the most commonly searched types of Edge Ai Machine Learning jobs?

The most popular types of Edge Ai Machine Learning jobs are:

What job categories do people searching Part Time Edge Ai Machine Learning jobs look for?

The top searched job categories for Part Time Edge Ai Machine Learning jobs are:

Part Time Edge Ai Machine Learning jobs near you
Infographic showing various Part Time Edge Ai Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

AI Engineer (US-Based / Part-Time)

Implicit

Remote

Part-time

Re-posted 7 days ago

Job description

Applied AI Engineer (Part-Time, Remote - U.S.)

Innovation is at the heart of what we do.

At Implicit, we're building the leading AI Knowledge Engine for Maintenance and Support. Our secure, no-code platform transforms complex technical documents, manuals, procedures, and operational data into trusted, structured knowledge that powers both human experts and AI agents.

We're looking for a part-time Applied AI Engineer to help build the next generation of enterprise AI. You'll work alongside experienced engineers, product leaders, and AI researchers to develop production-grade AI capabilities that solve real-world problems across defense, manufacturing, customer support, and other knowledge-intensive industries.

What You'll Do
  • Design and build AI applications powered by LLMs, RAG, semantic search, and AI agents.
  • Develop intelligent pipelines for document ingestion, knowledge extraction, and retrieval.
  • Improve answer quality through prompt engineering, evaluation frameworks, and retrieval optimization.
  • Build and optimize production AI services using Python and modern AI frameworks.
  • Work with agentic development tools including Cursor, Codex and AI-assisted coding workflows.
  • Write clean, maintainable, well-tested code with a strong focus on quality and reliability.
  • Collaborate closely with product, engineering, and data science teams to rapidly prototype and ship new capabilities.
  • Evaluate emerging AI models, tools, and techniques to continuously improve the platform.
Required Qualifications
  • 3+ years of experience building AI, machine learning, or NLP applications through industry, open-source, or research.
  • Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and semantic search.
  • Solid understanding of NLP, machine learning, and modern deep learning techniques.
  • Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.
  • Strong Python development skills and experience building production software.
  • Experience working with APIs, vector databases, and AI application frameworks.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Preferred Qualifications
  • Experience building AI systems for enterprise knowledge management or technical documentation.
  • Experience with AI agents, tool calling, and agentic workflows.
  • Familiarity with knowledge graphs, OCR, document parsing, or multimodal AI.
  • Experience deploying AI applications using modern MLOps practices.
  • Experience evaluating and benchmarking LLM performance.
What We Offer
  • Competitive compensation.
  • Flexible part-time schedule.
  • Remote work within the United States.
  • Flexible vacation policy.
  • Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team tackling challenging real-world problems.

Apply