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Part Time Remote Ai Prompt Engineer Jobs (NOW HIRING)

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 ... Improve answer quality through prompt engineering, evaluation frameworks, and retrieval ...

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 ... Improve answer quality through prompt engineering, evaluation frameworks, and retrieval ...

YO AI Labs

AI Consulting Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

YO AI Labs

AI Software Engineer Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software ... Prompt Engineering * AI Output Evaluation * Technical Documentation * Technical & Professional ...

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Part Time Remote Ai Prompt Engineer information

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$30.5K

$68.6K

$115.5K

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

As of Sep 10, 2026, the average yearly pay for part time remote ai prompt engineer in the United States is $68,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $74,500.00 per year, depending on experience, location, and employer.

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

AspectPart Time Remote Ai Prompt EngineerPart Time Remote Data Annotator
Required CredentialsBasic understanding of AI, NLP, and prompt engineeringAttention to detail, basic technical skills
Work EnvironmentRemote, flexible hours, focused on AI and NLP projectsRemote, flexible hours, focused on data labeling tasks
Employer & Industry UsageTech companies, AI startups, research labsData companies, AI training firms, machine learning teams
Search & Comparison IntentUnderstanding AI prompt roles, job differencesClarifying data annotation roles, job scope

The Part Time Remote Ai Prompt Engineer focuses on designing and refining prompts for AI models, requiring knowledge of NLP and AI concepts. In contrast, the Part Time Remote Data Annotator primarily labels data to train AI systems, emphasizing attention to detail. Both roles are remote and part-time, but they serve different functions within AI development teams.

Are part time remote AI prompt engineers in demand?

Part time remote AI prompt engineers are increasingly in demand as companies seek expertise in designing effective prompts for AI models. Skills in natural language processing, familiarity with AI tools, and the ability to work independently are valuable in this growing field.

Is part time remote AI prompt engineering a remote job?

Part time remote AI prompt engineering is typically a remote job, allowing professionals to work from any location with internet access. It often involves tasks such as designing and refining prompts for AI models and may require familiarity with tools like language models and programming skills. Many companies offer flexible schedules for such roles, making remote work common in this field.
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What are the most commonly searched types of Remote Ai Prompt Engineer jobs?

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Part Time Remote Ai Prompt Engineer jobs near you
Infographic showing various Part Time Remote Ai Prompt Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $68,617 per year, or $33 per hour.

AI Engineer (US-Based / Part-Time)

Remote

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

Part-time

Re-posted 10 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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