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Javascript Developer For Training Ai Data Jobs in Hawaii

SynergisticIT

Junior Java / devops Engineer

Laie, HI · On-site

... javascript , C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions ...

Quora

AI Automation Engineer -Remote

Mililani, HI · On-site +1

$202K - $234K/yr

This role is ideal for an engineer who's curious, pragmatic, and motivated by real-world impact ... Act as a high-trust owner of systems that may handle sensitive data or business-critical logic

New

Quora

AI Automation Engineer -Remote

Honolulu, HI · On-site

$202K - $234K/yr

This role is ideal for an engineer who's curious, pragmatic, and motivated by real-world impact ... Act as a high-trust owner of systems that may handle sensitive data or business-critical logic

Quora

AI Automation Engineer -Remote

Pearl City, HI · On-site +1

$202K - $234K/yr

This role is ideal for an engineer who's curious, pragmatic, and motivated by real-world impact ... Act as a high-trust owner of systems that may handle sensitive data or business-critical logic

Quora

AI Automation Engineer -Remote

Waipahu, HI · On-site +1

$202K - $234K/yr

This role is ideal for an engineer who's curious, pragmatic, and motivated by real-world impact ... Act as a high-trust owner of systems that may handle sensitive data or business-critical logic

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Javascript Developer For Training Ai Data information

What is the difference between Javascript Developer For Training Ai Data vs Javascript Developer?

AspectJavascript Developer For Training Ai DataJavascript Developer
Required SkillsJavaScript, AI/ML concepts, data annotation, training modelsJavaScript, front-end/back-end development, frameworks like React or Node.js
Work EnvironmentAI training labs, data annotation teams, machine learning projectsWeb development, application development, client/server environments
Industry UsageAI/ML companies, data training firms, research labsTech companies, startups, software agencies

Javascript Developer For Training Ai Data focuses on preparing data and training AI models using JavaScript, often involving data annotation and machine learning concepts. In contrast, a Javascript Developer primarily develops web applications and interfaces. While both roles require JavaScript skills, the former emphasizes AI training and data handling, whereas the latter centers on application development.

What are some common challenges faced by JavaScript Developers working on AI data training projects?

JavaScript Developers involved in AI data training often encounter challenges such as ensuring data quality and consistency, managing large datasets, and effectively collaborating with data scientists and machine learning engineers. The role may require a deep understanding of data preprocessing, annotation tools, and integrating APIs to streamline data workflows. Additionally, working in this space often involves staying up to date with the latest AI frameworks and adapting to rapidly evolving project requirements, which can be both demanding and rewarding.

What is a Javascript Developer for Training AI Data?

A Javascript Developer for Training AI Data is a software engineer who specializes in using Javascript to help build, annotate, or process datasets that are used to train artificial intelligence models. Their work may involve developing data labeling tools, writing scripts to clean and preprocess data, or building user interfaces that facilitate the collection of high-quality training data. They play a crucial role in ensuring that AI systems receive the accurate and well-structured information they need to learn effectively. This position often requires a strong knowledge of Javascript, data handling, and sometimes an understanding of machine learning concepts.

What are the key skills and qualifications needed to thrive as a Javascript Developer for Training AI Data, and why are they important?

To thrive as a Javascript Developer for Training AI Data, you need strong proficiency in JavaScript, data manipulation, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Familiarity with frameworks like Node.js, data annotation tools, and version control systems such as Git is typically required. Analytical thinking, attention to detail, and effective teamwork are essential soft skills for excelling in this role. These skills ensure accurate data preparation and robust integration of AI models, leading to effective training outcomes and project success.
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Javascript Developer For Training Ai Data jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Mililani, HI • On-site

Other

Posted 10 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:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • 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.

Apply