Contributing to internal AI security standards (prompt/data handling guidance, logging strategy ... cloud engineering with security focus, or security operations in cloud environments or a ...
Contributing to internal AI security standards (prompt/data handling guidance, logging strategy ... cloud engineering with security focus, or security operations in cloud environments or a ...
Lead, Offensive Security
Miami, FL · Remote
... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...
Lead, Offensive Security
Miami, FL · Remote
... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...
Lead, Offensive Security
Miami, FL · Remote
... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...
Lead, Offensive Security
Miami, FL · Remote
... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...
Lead, Offensive Security
Miami, FL · Remote
... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...
Lead, Offensive Security
Miami, FL · Remote
... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...
Remote Prompt Engineering information
See Miami, FL salary details
$16.55 - $19.21
1% of jobs
$19.21 - $21.86
6% of jobs
$21.86 - $24.52
13% of jobs
$25.60 is the 25th percentile. Wages below this are outliers.
$24.52 - $27.17
12% of jobs
$27.17 - $29.83
12% of jobs
The median wage is $31.05 / hr.
$29.83 - $32.48
14% of jobs
$32.48 - $35.14
12% of jobs
$36.18 is the 75th percentile. Wages above this are outliers.
$35.14 - $37.79
15% of jobs
$37.79 - $40.44
7% of jobs
$40.44 - $43.10
5% of jobs
$43.10 - $45.75
3% of jobs
$16
$31
$45
How much do remote prompt engineering jobs pay per hour?
As of Jul 18, 2026, the average hourly pay for remote prompt engineering in Miami, FL is $31.62, according to ZipRecruiter salary data. Most workers in this role earn between $25.29 and $36.54 per hour, depending on experience, location, and employer.
How to make $1000 a week remotely?
Remote prompt engineering can generate $1000 or more weekly by freelancing on platforms like Upwork or Fiverr, building a strong portfolio, and offering specialized skills in AI and NLP. Consistent work, high-demand projects, and efficient time management are key to reaching this income level.
What engineer makes $500,000 a year?
Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.
What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?
| Aspect | Remote Prompt Engineering | Remote Data Annotation Specialist |
|---|---|---|
| Required Credentials | Basic understanding of AI, NLP, and scripting skills | Attention to detail, familiarity with annotation tools, no formal certifications required |
| Work Environment | Collaborative with AI/ML teams, remote setup | Independent annotation tasks, remote or on-site |
| Industry Usage | AI development, NLP projects, machine learning | Data labeling for AI training datasets |
| Search & Comparison Intent | Understanding roles in AI development, job requirements | Data 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.
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 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.
Are prompt engineers still in demand?
Prompt engineering is a growing field as organizations seek professionals skilled in designing effective prompts for AI language models. Demand for prompt engineers is increasing across industries such as technology, healthcare, and finance, often requiring knowledge of AI tools and natural language processing. The role is expected to remain relevant as AI adoption expands.
What jobs make $3,000 a day?
High-paying jobs such as remote prompt engineering, specialized consulting, or executive roles can earn $3,000 or more per day, especially for professionals with advanced skills, experience, and in-demand expertise. These roles often require strong technical knowledge, certifications, and the ability to deliver high-value services on a freelance or contract basis.
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.
What are popular job titles related to Remote Prompt Engineering jobs in Miami, FL? For Remote Prompt Engineering jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Miami, FL look for? The top searched job categories for Remote Prompt Engineering jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Prompt Engineering jobs? Cities near Miami, FL with the most Remote Prompt Engineering job openings:
Full-time
Medical, Dental, Vision
Re-posted 9 days ago
Job description
Medable's mission is to get effective therapies to patients faster. We provide an end-to-end, agentic clinical trial platform with a flexible suite of tools that allows patients, healthcare providers, clinical research organizations and pharmaceutical sponsors to work together as a team in clinical trials. Our solutions enable more efficient clinical research, more effective healthcare delivery, and more accurate precision and predictive medicine. Our target audiences are patients, providers, principal investigators, and innovators who work in healthcare and life sciences.
Our vision is to accelerate the path to human discovery and medical cures. We are passionate about driving innovation and empowering consumers. We are proactive, collaborative, self-motivated learners, committed, bold and tenacious. We are dedicated to making this world a healthier place.
1. Responsibilities- Work cross-functionally with Information Security Operations and Infrastructure/DevOps teams, to administer and optimize security posture across multi-cloud (GCP/AWS) infrastructure, including native security services, IAM, logging, and threat detection.
- Triage and respond to cloud security alerts and vulnerabilities; implement timely mitigations, configuration changes, and patches.
- Own configuration and hygiene for cloud security consoles (examples: GCP Security Command Center, Cloud Logging, Cloud Armor, KMS, IAM,etc.).
- Partner with DevOps to implement secure baseline configurations and guardrails (network segmentation, least privilege, encryption, key management, secrets handling, egress controls), in alignment with industry standard frameworks such as CIS, NIST 800-53, OWASP Top 10, etc.
- Run day-to-day vulnerability workflows: detection, prioritization, remediation, and validation across cloud services, hosts, containers, and third-party dependencies.
- Manage and harden security configurations for Kubernetes Engine environments, including:
- Cluster and node security settings, RBAC, pod security controls, network policies, admission controls, and runtime security, Image vulnerability scanning, container supply-chain controls, patch cadence and version lifecycle management for clusters/nodes and supporting components.
- Support secure implementations/integrations of AI within cloud infrastructure, including:
- Data protection controls (PII/PHI handling, encryption, retention, audit logging).
- Network controls (private connectivity where feasible, egress restrictions, proxying, allowlists).
- Usage monitoring, abuse prevention, and security reviews for AI-driven features/workflows.
- Contributing to internal AI security standards (prompt/data handling guidance, logging strategy, third-party risk considerations).
- Work cross-functionally with IS Risk and Compliance team to produce evidence and reporting to support internal security requirements and external compliance obligations (e.g., SOC 2 / ISO-aligned controls, healthcare and privacy expectations).
- Participate in security incident response for cloud-related events, including containment and recovery actions.
- Other duties as assigned.
- 4+ years of hands-on experience in cloud security, DevSecOps, cloud engineering with security focus, or security operations in cloud environments or a combination of education and experience.
- Experience in healthcare technology and/or regulated environments (privacy, audit evidence, security control documentation).
- Practical experience administering security controls in GCP and AWS (IAM, logging, encryption/KMS, network security, cloud security services).
- Experience securing Kubernetes environments, including RBAC, cluster hardening, workload controls, and patch/version management.
- Strong vulnerability management experience (triage, remediation coordination, patching workflows, validation).
- Experience supporting secure integrations of LLM/AI services (e.g., ChatGPT/Grok) in production systems, including data governance and key management.
- Ability to work cross-functionally between InfoSec and Infrastructure/DevOps, and translate security requirements into implementable controls.
- Comfort working from tickets/alerts through to implemented changes in production cloud environments.
- Comfortable writing code in any one programming language: Javascript/Python/Bash.
- Familiarity with Infrastructure-as-Code and automation concepts (Terraform/CloudFormation, CI/CD pipelines, scripting).
- Bachelor's degree in Cybersecurity, Information Technology, Computer Science or a related field preferred.
- Security certifications (one or more): GCP Professional Cloud Security Engineer, CISSP, CCSP, Security+.
As required.
At Medable, we believe that our team of Medaballers is our greatest asset. That is why we are committed to your personal and professional well-being. Our rewards are more than just benefits - they demonstrate our commitment to providing an inclusive, healthy and rewarding experience for all our team members.
Flexible Work
Remote from the start, we believe in a flexible employee experience
Compensation
Competitive base salaries
Annual performance-based bonus
Stock options for employees, aligning personal achievements to Medable's success
Health and Wellness
Comprehensive medical, dental, and vision insurance coverage
Carrot Fertility Program
Health Saving Accounts (HSA) and Flexible Spending Accounts (FSA)
Wellness program (Mental, Physical and Financial)
Recognition
Peer-to-peer recognition program, celebrating achievements and milestones
Community Involvement
Volunteer time off to support causes you care about
Medable is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or would like to request an accommodation due to a disability, please contact us athr@medable.com.
About Medable
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
Palo Alto, CA, US
Year founded
2016