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Part Time Remote Pharmaceutical Validation Engineer Jobs

Implicit

AI Engineer (US-Based / Part-Time)

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 ...

Rohadfox Construction Control Services Corp.

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Cost Estimator-Part-Time Remote

Miami, FL · Remote

This is a Remote Part-time opportunity requiring occasional visits to the work site(s) in Florida ... Coordination : Liaising with engineers, contractors, vendors, and clients to ensure accurate ...

United Service Dog

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Part Time Remote Tele Therapist (MN)

Saint Paul, MN · Remote

$15 - $20/hr

... for a part time position in Remote tele-therapy. This position can be done from home and is ... You must hold a valid and current license. If interested, please send a short email with your ...

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Part Time Remote Pharmaceutical Validation Engineer information

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

As of Sep 14, 2026, the average hourly pay for part time remote pharmaceutical validation engineer in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What is a part time remote pharmaceutical validation engineer?

A Part Time Remote Pharmaceutical Validation Engineer is a professional who works part-time hours, often from a remote location, to ensure that pharmaceutical processes, equipment, and systems meet regulatory and quality standards. Their responsibilities include developing validation protocols, conducting risk assessments, reviewing documentation, and ensuring compliance with Good Manufacturing Practices (GMP). This role is essential for maintaining product safety and efficacy in the pharmaceutical industry and often involves collaboration with cross-functional teams and regulatory bodies.

What are the key skills and qualifications needed to thrive as a part time remote pharmaceutical validation engineer?

To thrive as a Part Time Remote Pharmaceutical Validation Engineer, you need expertise in pharmaceutical processes, quality assurance, and regulatory compliance, usually supported by a degree in engineering or a related field. Familiarity with validation tools, documentation systems, and regulatory standards such as FDA 21 CFR Part 11 and GAMP is typically required. Strong problem-solving abilities, attention to detail, and clear communication skills are essential for collaborating remotely and ensuring compliance. These skills and qualifications ensure the safe, efficient, and compliant operation of pharmaceutical manufacturing processes, even in a remote work environment.

What are some common challenges of working as a part-time remote pharmaceutical validation engineer, and how can they be managed?

One common challenge in this role is maintaining clear communication with on-site teams and ensuring alignment on project timelines and regulatory requirements, since much of the validation work may require coordination with laboratory staff and quality assurance personnel. Remote engineers must also adapt to varying documentation standards and digital validation tools used by different clients. Staying proactive by scheduling regular video meetings, utilizing project management platforms, and keeping meticulous records can help manage these challenges. Additionally, keeping up-to-date with evolving industry regulations and validation best practices is essential for delivering effective results remotely.
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Part Time Remote Pharmaceutical Validation Engineer jobs near you
Infographic showing various Part Time Remote Pharmaceutical Validation Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

AI Engineer (US-Based / Part-Time)

Remote

Implicit
IT Services • 1 - 10 employees
Learn more about Implicitexternal

Part-time

Re-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 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.

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