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Part Time Remote Ai Engineer Jobs (NOW HIRING)

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 ...

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241255 Location: Arlington,VA,US Share job via: Share AI Engineer ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ... Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The ...

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Part Time Remote Ai Engineer information

See salary details

$25

$53

$76

How much do part time remote ai engineer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for part time remote ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is the difference between Part Time Remote Ai Engineer vs Part Time Remote Data Scientist?

AspectPart Time Remote Ai EngineerPart Time Remote Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related field; knowledge of AI frameworksBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with development teamsRemote, often focused on data analysis and modeling
Industry UsageTech, AI startups, software companiesFinance, healthcare, e-commerce, research
Search & Comparison IntentLooking for AI-specific roles with remote flexibilitySeeking data analysis roles with remote options

While both roles involve remote work and require technical skills, Part Time Remote Ai Engineers focus on developing AI models and algorithms, whereas Part Time Remote Data Scientists analyze data to extract insights. The choice depends on your expertise in AI development versus data analysis.

What are the most commonly searched types of Remote Ai Engineer jobs? The most popular types of Remote Ai Engineer jobs are:
What states have the most Part Time Remote Ai Engineer jobs? States with the most job openings for Part Time Remote Ai Engineer jobs include:
Infographic showing various Part Time Remote Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
AI Engineer (US-Based / Part-Time)

AI Engineer (US-Based / Part-Time)

Implicit

Remote

Part-time

Posted 14 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 Claude Code, Cursor, 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.