... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ...
A valid driver's license is essential for this role. As one of three comprehensive portfolios at ... programmable therapies deliver personalized treatment supported by strong clinical evidence and ...
A valid driver's license is essential for this role. As one of three comprehensive portfolios at ... programmable therapies deliver personalized treatment supported by strong clinical evidence and ...
Remote Validation Engineer information
See Little River, SC salary details
$21.21 - $25.95
2% of jobs
$25.95 - $30.69
6% of jobs
$30.69 - $35.43
13% of jobs
$36.91 is the 25th percentile. Wages below this are outliers.
$35.43 - $40.17
13% of jobs
$40.17 - $44.91
11% of jobs
The median wage is $47.28 / hr.
$44.91 - $49.65
12% of jobs
$49.65 - $54.38
9% of jobs
$58.04 is the 75th percentile. Wages above this are outliers.
$54.38 - $59.12
13% of jobs
$59.12 - $63.86
13% of jobs
$63.86 - $68.60
6% of jobs
$68.60 - $73.34
3% of jobs
$21
$48
$73
How much do remote validation engineer jobs pay per hour?
As of Aug 5, 2026, the average hourly pay for remote validation engineer in Little River, SC is $48.81, according to ZipRecruiter salary data. Most workers in this role earn between $37.02 and $59.33 per hour, depending on experience, location, and employer.
What are the typical day-to-day responsibilities of a remote validation engineer?
Remote Validation Engineers are responsible for developing and executing test plans, analyzing results, and documenting findings to ensure products meet required standards and specifications. They often collaborate virtually with design, development, and quality teams to identify issues and recommend improvements. Daily tasks may include running automated tests, preparing validation reports, participating in team meetings, and troubleshooting system behaviors. Adapting to shifting project requirements and effectively communicating in a remote setting are also integral parts of the role.
What are the key skills and qualifications needed to thrive as a remote validation engineer, and why are they important?
To thrive as a Remote Validation Engineer, you need a strong background in engineering or computer science, expertise in validation protocols, and experience with testing methodologies. Familiarity with validation tools such as simulation software, automated test platforms, and knowledge of industry compliance standards (e.g., ISO, FDA, or automotive standards) is typically required, and certifications like ISTQB can be beneficial. Excellent problem-solving skills, attention to detail, and strong written and verbal communication are important for collaborating across distributed teams. These skills ensure the effectiveness and reliability of complex products or systems while supporting seamless teamwork in a remote work environment.
What is a remote validation engineer?
A Remote Validation Engineer is responsible for testing and verifying that products, systems, or software meet required specifications and function correctly. They develop test plans, run simulations, analyze data, and document results—all while working remotely. This role is common in industries like automotive, semiconductor, and software development, ensuring quality and compliance with standards. Strong technical skills, attention to detail, and proficiency with validation tools are essential.
What cities near Little River, SC are hiring for Remote Validation Engineer jobs? Cities near Little River, SC with the most Remote Validation Engineer job openings:
Full-time
Re-posted 15 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
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Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
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Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
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Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
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Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
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Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
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Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020