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Entry Level Remote Ai Prompt Engineer Jobs (NOW HIRING)

Agentic AI Developer

$63K - $105K/yr

General information Requisition # R68149 Locations USA-Remote Work Posting Date 05/29/2026 Security ... Understanding of prompt engineering and basic interactions with Large Language Models * Strong ...

This is a remote position. Title: AI Forward Engineer Location: Remote, USA (Preferable in EDT ... You will own AI features end-to-end -- from prompt design and model selection through deployment ...

Lakeland, FL, 33811 Remote Role * Local-First AI Expertise: Proven track record deploying and ... Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model ...

Azure AI Developer

$56.25 - $69.75/hr

Contract Location: 100% Remote Client: UST Global Must have Skills: Azure AI/ML, Azure Cloud, AI/ML ... Apply prompt engineering techniques to optimize the performance of our language models. · Stay ...

Bay Area, remote-flexible Compensation: Competitive Base / Equity mix As an AI Interfaces Engineer ... This is a primarily hands-on role that blends prompt engineering, full-stack engineering, and AI ...

AI Engineer - Claude

Seabrook, TX · On-site +1

$80 - $100/hr

Remote - USA Employment Type: Contract Pay Range: $80/hr - $100/hr - Key Responsibilities We are ... prompt engineering, workflow automation, API development, and cloud deployment. MatchPoint ...

Support prompt engineering, prompt testing, model comparison, and evaluation of AI-generated outputs. * Help build and maintain RAG workflows, including document preparation, chunking, metadata ...

Senior/Lead Data Engineer with AI

$108K - $147K/yr

Senior/Lead Data Engineer with AI Location: 100% remote Contract length - 1+ year Required start ... Understanding of prompt engineering, system messages, and model parameter tuning for optimal AI ...

Senior AI Engineer

Schenectady, NY · On-site +1

$120K - $160K/yr

Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model ... Schenectady, New York * 100% Remote for the right candidate Compensation Package (Salary ...

Senior AI Engineer

Schenectady, NY · On-site +1

$120K - $160K/yr

Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model ... Schenectady, New York * 100% Remote for the right candidate Compensation Package (Salary ...

Remote JD: Core Responsibilities * Design, develop, and deploy autonomous AI agents using ... Hands-on experience with Large Language Models (LLMs) and advanced prompt engineering

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Entry Level Remote Ai Prompt Engineer information

See salary details

$30K

$69.4K

$118K

How much do entry level remote ai prompt engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for entry level remote ai prompt engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Remote AI Prompt Engineer, and why are they important?

To thrive as an Entry Level Remote AI Prompt Engineer, you need a solid understanding of language models, prompt engineering concepts, and basic programming skills, typically supported by a relevant degree or self-guided learning in AI or computer science. Familiarity with tools such as OpenAI's GPT platforms, prompt design frameworks, and collaboration software like Slack or GitHub is common. Strong analytical thinking, creativity, and clear written communication are important soft skills for drafting effective prompts and collaborating in a remote team. These skills ensure the delivery of high-quality AI outputs, foster problem-solving, and support efficient teamwork in a rapidly evolving field.

What is an Entry Level Remote AI Prompt Engineer?

An Entry Level Remote AI Prompt Engineer is a professional who works from a remote location to craft, test, and refine prompts for AI systems, particularly those based on large language models like ChatGPT or GPT-4. Their primary responsibility is to design effective instructions that guide the AI to produce accurate, relevant, and high-quality responses. Entry level roles typically require basic knowledge of AI concepts, strong communication skills, and a keen attention to detail. These engineers often collaborate with development teams to improve AI outputs and may conduct research to optimize prompt strategies. It's a rapidly growing field as AI becomes more integrated into various industries.

What are some common challenges faced by entry-level remote AI prompt engineers, and how can they overcome them?

Entry-level remote AI prompt engineers often encounter challenges such as interpreting ambiguous project requirements, balancing creative prompt crafting with technical accuracy, and effectively communicating with distributed team members. To overcome these, it's helpful to ask clarifying questions early, document prompt iterations, and actively participate in virtual team meetings or feedback sessions. Leveraging collaboration tools and setting regular check-ins with mentors or senior team members also helps in building confidence and improving prompt quality.

What is the difference between Entry Level Remote Ai Prompt Engineer vs Entry Level Remote Data Annotator?

AspectEntry Level Remote Ai Prompt EngineerEntry Level Remote Data Annotator
Required CredentialsBasic understanding of AI, programming knowledge (Python, NLP), online coursesAttention to detail, basic computer skills, training in annotation tools
Work EnvironmentRemote, independent work with AI teamsRemote, often repetitive tasks with data labeling platforms
Industry UsageAI development, NLP projects, machine learningData preparation, training datasets for AI models

While both roles are remote and entry-level, AI Prompt Engineers focus on crafting prompts for AI models, requiring some programming and AI knowledge. Data Annotators primarily label data to train AI systems, emphasizing attention to detail. Both are essential in AI development but differ in skills and daily tasks.

More about Entry Level Remote Ai Prompt Engineer jobs
What cities are hiring for Entry Level Remote Ai Prompt Engineer jobs? Cities with the most Entry Level Remote Ai Prompt Engineer job openings:
What are the most commonly searched types of Remote Ai Prompt Engineer jobs? The most popular types of Remote Ai Prompt Engineer jobs are:
What states have the most Entry Level Remote Ai Prompt Engineer jobs? States with the most job openings for Entry Level Remote Ai Prompt Engineer jobs include:
Infographic showing various Entry Level Remote Ai Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 1% Part Time, 15% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

$69K - $124K/yr

Other

Posted 6 days ago


Job description

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time.

Position Summary: The position is responsible for designing, building, deploying, and maintaining enterprise-grade Agentic AI solutions under the direction of an Sr. AI Engineer. This role focuses on implementing autonomous and semi-autonomous AI agents using large language models (LLMs), orchestration frameworks, and Azure-native AI services.

The position supports intelligent automation initiatives across Insurance business domains by translating product requirements into scalable, secure, and observable AI systems.

Essential Duties and Responsibilities:
  • Design, develop, and deploy Agentic AI systems based on product requirements defined by the Business SMEs.
  • Implement agent workflows including:
    • Planning, execution, validation, and retry logic
    • Tool and API invocation
    • Context and memory management
  • Build and maintain LLM-powered pipelines, including RAG-based architectures.
  • Integrate AI agents with enterprise systems using APIs, event-driven workflows, and automation services.
  • Develop and manage data ingestion and enrichment pipelines for structured and unstructured data.
  • Monitor AI system performance, accuracy, latency, and cost; implement optimizations and improvements.
  • Implement guardrails, safety mechanisms, and human-in-the-loop controls.
  • Support production deployment using Azure-native services and CI/CD pipelines.
  • Document system architecture, workflows, prompts, and operational runbooks.
  • Collaborate with product managers, architects, and data teams to iterate on AI solutions.
  • Participate in special projects and perform additional duties as required.
Education and Experience:
  • Bachelor’s Degree in Computer Science, Engineering, or related field required.
  • 1–3 years of experience in AI/ML engineering, data engineering, or software engineering required.
  • Hands-on experience with LLMs, GenAI, or intelligent automation systems required.
  • Experience building AI solutions on cloud platforms, preferably Microsoft Azure required.
  • Exposure to Agentic AI, workflow orchestration, or multi-agent systems preferred.
Skills:
  • Strong proficiency in Python and AI/ML libraries.
  •  Hands-on experience with:
    • LLMs, prompt engineering, and RAG architectures
    • Vector databases and semantic search
    • Agent orchestration frameworks
  • Experience with Microsoft Azure, including:
    • Azure OpenAI
    • Azure Functions, Logic Apps, AKS
  • Knowledge of API development and system integration.
  • Familiarity with CI/CD pipelines, Git-based version control, and Agile delivery.
  • Strong analytical, troubleshooting, and communication skills.
  • Azure AI Fundamentals or equivalent certification preferred.
  • Familiarity with data privacy, security, and compliance in AI development.
  • Exposure to prompt engineering and GenAI tools a plus.
  • Insurance domain exposure preferred.

The salary range for this role is $69,100-$124,400. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs.  Base pay is just one component of GNY’s total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.