Remote Duration: 12+ Months Employment Type: Contract (C2C / W2) Experience Required: 7+ Years ... Experience with AI/ML integrations and prompt engineering. Experience with hybrid cloud ...
Remote Duration: 12+ Months Employment Type: Contract (C2C / W2) Experience Required: 7+ Years ... Experience with AI/ML integrations and prompt engineering. Experience with hybrid cloud ...
Senior Software Engineer Applied AI
Columbia, SC · Remote
$113K - $149K/yr
Applied AI (Voice Agents & ML Systems) AMC Health · Remote (US) · Full-time The pitch We build ... Multi-model pipelines, prompt design, and cost/latency budgeting * Evaluation harnesses, including ...
Senior Software Engineer Applied AI
Columbia, SC · Remote
$113K - $149K/yr
Applied AI (Voice Agents & ML Systems) AMC Health · Remote (US) · Full-time The pitch We build ... Multi-model pipelines, prompt design, and cost/latency budgeting * Evaluation harnesses, including ...
Remote Prompt Engineer information
See Columbia, SC salary details
$12.01 - $17.71
2% of jobs
$17.71 - $23.41
6% of jobs
$23.41 - $29.11
10% of jobs
$29.11 - $34.81
6% of jobs
$35.76 is the 25th percentile. Wages below this are outliers.
$34.81 - $40.52
3% of jobs
$40.52 - $46.22
6% of jobs
$46.22 - $51.92
9% of jobs
The median wage is $55.55 / hr.
$51.92 - $57.62
12% of jobs
$57.62 - $63.32
12% of jobs
$67.05 is the 75th percentile. Wages above this are outliers.
$63.32 - $69.02
14% of jobs
$69.02 - $74.72
20% of jobs
$12
$51
$74
How much do remote prompt engineer jobs pay per hour?
What is a Remote Prompt Engineer job?
A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.
What does a typical workday look like for a Remote Prompt Engineer?
As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.
What are the key skills and qualifications needed to thrive in the Remote Prompt Engineer position, and why are they important?
To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.
What is a $900000 AI job?
What is the salary of remote prompt engineer?
Are prompt engineers still in demand?
How can I make $100,000 a year working from home?

Contractor
Re-posted 20 days ago
Job description
IT - DSS - Information Systems Architect - Project Lead AWS Developer/Administrator Location: Remote Duration: 12+ Months Employment Type: Contract (C2C / W2) Experience Required: 7+ Years Project Scope: Seeking an experienced AWS Developer / Administrator to support cloud modernization initiatives and maintain AWS-based infrastructure and applications. The role involves designing, developing, deploying, and managing secure, scalable cloud environments while supporting both cloud-native and hybrid workloads. The candidate will collaborate with engineering, development, security, and operations teams to ensure high availability, performance, and compliance of AWS services.
Key Responsibilities: Design, deploy, and administer AWS environments following industry best practices. Manage AWS account structures, IAM roles, policies, and least-privilege access controls. Build and maintain solutions using core AWS services including EC2, VPC, S3, IAM, Lambda, Auto Scaling, and Elastic Load Balancing.
Configure and manage network infrastructure, including VPCs, subnets, routing tables, and security groups. Implement and manage storage services such as S3, EBS, and EFS with lifecycle policies. Develop serverless applications using Lambda and API Gateway.
Monitor and maintain cloud environments using CloudWatch, CloudTrail, and AWS Config. Develop and support Amazon Connect contact center environments, including contact flows, queues, routing profiles, and integrations with APIs and Lambda functions. Design and integrate AI-enabled solutions using Amazon Bedrock when required.
Implement Infrastructure as Code (IaC) using tools like CloudFormation or Terraform. Support CI/CD pipelines and automation workflows for application deployments. Monitor performance, availability, and optimize cloud costs.
Troubleshoot infrastructure and application issues across production and non-production environments. Work with security teams to ensure encryption, logging, monitoring, and compliance standards are met. Maintain documentation, runbooks, and architecture diagrams.
Provide technical mentoring and knowledge transfer to team members. Participate in maintenance, upgrades, and occasional after-hours support. Required Skills & Experience: 6+ years of overall IT experience supporting enterprise systems.
3+ years of hands-on experience with AWS development and administration. Strong experience with core AWS services such as EC2, VPC, IAM, S3, and Lambda. 3+ years of experience working with Amazon Connect or contact center technologies.
Experience integrating APIs, serverless architectures, and cloud services. Experience implementing Infrastructure as Code and automation. Knowledge of AWS security best practices, logging, and monitoring.
Scripting experience with Python, Bash, or similar languages. Preferred Skills: Experience with AI/ML integrations and prompt engineering. Experience with hybrid cloud architectures and third-party integrations.
Knowledge of cloud cost optimization and FinOps practices. Experience with Azure cloud services. Strong experience building integrations using APIs and serverless technologies.
Required Certifications AWS Certified Solutions Architect - Professional OR AWS Certified DevOps Engineer - Professional Preferred Certifications Microsoft Certified Azure Solutions Architect (AZ-305) Tools & Technologies Amazon Web Services (AWS),Amazon Connect, Amazon Bedrock, AWS Lambda, AWS CloudFormation / Terraform, CloudWatch / CloudTrail, API Gateway, CI/CD tools, Git-based version control systems