ZipRecruiter

Log In

2

Remote Prompt Engineering Jobs (NOW HIRING)

TMS

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Implement prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques

Huzzle

AI Engineer - Remote

... remote environment. Key Responsibilities * Design, build, and deploy AI/ML models for real-world ... Experience working with LLMs, generative AI, prompt engineering, or AI agents . * Familiarity with ...

next page

Showing results 1-20

People also search for

All JobsPrompt Engineering JobsRemote Prompt Engineering Jobs

Remote Prompt Engineering information

See salary details

$17

$33

$47

How much do remote prompt engineering jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote prompt engineering in the United States is $33.06, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $38.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Prompt Engineer, and why are they important?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

How can I make 2000 a week working from home?

Remote prompt engineering is a freelance or contract role that can generate significant income if you have strong skills in AI, natural language processing, and prompt design. Earning $2000 weekly typically requires multiple clients, high-quality work, and efficient time management, often involving project-based tasks or retainer agreements. Building a portfolio and gaining experience with tools like GPT models can help increase earning potential.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

More about Remote Prompt Engineering jobs
What cities are hiring for Remote Prompt Engineering jobs? Cities with the most Remote Prompt Engineering job openings:
What are the most commonly searched types of Prompt Engineering jobs? The most popular types of Prompt Engineering jobs are:
What states have the most Remote Prompt Engineering jobs? States with the most job openings for Remote Prompt Engineering jobs include:
What job categories do people searching Remote Prompt Engineering jobs look for? The top searched job categories for Remote Prompt Engineering jobs are:
Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $68,760 per year, or $33.1 per hour.

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

Welo Global

Remote

$101.30K - $132K/yr

Contractor

Posted 20 days ago

Job description

We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLMautoraters. The role is required to use client's internal tools to leverage prompt engineering techniques to maximize model performance.
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: Bachelor's, 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 4 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. 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.

Apply