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Home Based Prompt Engineering Jobs (NOW HIRING)

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Applied AI Prompt Engineer

Washington, DC · Hybrid

This is a hybrid role blending prompt engineering, operational AI lifecycle management, and cross ... Health Advocacy Service Benefits vary based on employment status. We believe that a vibrant and ...

Tata Consultancy Service Limited

Prompt Engineer

Austin, TX · On-site

$100K - $120K/yr

... based prompts, and structured outputs • Optimize prompt formats, structures, and parameters to improve model accuracy, consistency, and relevance • Evaluate LLM responses for correctness ...

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All JobsHome Based Prompt Engineering Jobs

Home Based Prompt Engineering information

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$29.5K

$66.3K

$103K

How much do home based prompt engineering jobs pay per year?

As of Jun 21, 2026, the average yearly pay for home based prompt engineering in the United States is $66,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $83,500.00 per year, depending on experience, location, and employer.

What is the difference between Home Based Prompt Engineering vs Remote AI Content Specialist?

AspectHome Based Prompt EngineeringRemote AI Content Specialist
Required CredentialsBasic understanding of AI prompts, no formal certification neededExperience in content creation, possibly some AI tool familiarity
Work EnvironmentHome-based, flexible hoursHome-based, project or task-based
Industry UsageAI development, chatbot training, prompt optimizationContent marketing, social media, digital content creation
Common Search IntentJobs involving AI prompt design from homeRemote content creation roles involving AI tools

Home Based Prompt Engineering focuses on designing and refining prompts for AI models, often requiring technical understanding of AI systems. In contrast, Remote AI Content Specialists create digital content using AI tools, emphasizing content skills. Both roles are home-based and industry-related but differ in technical depth and primary tasks.

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Home Based Prompt Engineering jobs near you

Project Lion - Lead Prompt Engineer - United States (Remote, Part-Time)

Welo Global

Remote

$104K - $138K/yr

Contractor

Posted 7 days ago

Job description

We are looking for an experienced Lead Prompt Engineer to guide and manage a team through the full technical migration process, transitioning templates to LLM autoraters. In this role, you will leverage advanced prompt engineering techniques and the client's internal tools to optimize model performance, ensuring the successful integration and ongoing enhancement of AI systems. As the team lead, you will drive the strategy, mentor junior engineers, and play a key role in shaping the future of our AI-driven solutions.
Responsibilities:
  • Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.

  • Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.

  • Manuallydraft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.

  • Monitorshadowbotruns to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.

  • Run prompt versions against established gold data to continuously measureautoraterquality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.

  • Draft technical launch readiness justifications (Launch Certification Documentation) for final.

Requirement:
  • Language Skills: Native fluency in English.

  • Location: Must be based in United States.

  • Education: Master's, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, ora relatedanalytical field.

  • Prompt Engineering & AI Expertise: At least 7 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs)for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.

  • Data Analysis: Strongproficiencyinidentifyingerror patterns, analyzing model performance, and using SQL or other data analytics tools.

  • Technical Agility: Ability to quickly learn and master proprietary tools with minimal supervision.

  • Communication: Excellent verbal and written communication skills.

Optional / Preferred Skills:
  • Familiarity with enterprise-grade LLM interfaces like the Goose API.

  • Experience in AI model evaluation, data science, computational linguistics, or software engineering.

  • Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.

  • Linguistic expertise, including an understanding of semantics and logic.

Federal Law Compliance
In compliance with federal law, all persons hired will be required to:
- Verify identity and eligibility to work in the United States; and
- Complete a required employment eligibility verification form.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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