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Software Developer Ai Trainer Jobs in Rhode Island

... developer productivity and code quality. * Implement and maintain state management with NgRx and ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

New

... developer productivity and code quality. * Implement and maintain state management with NgRx and ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

New

Senior DevOps AI Platform Engineer

NC · On-site +1

$130K - $167K/yr

Champion AI-assisted software engineering practices by enabling secure AI coding tools, automated testing, documentation generation, code review acceleration, pipeline diagnostics, and developer ...

We are reshaping the platform around AI in a serious way, and we are looking for a leader who wants ... A field relevant to the role as demonstrated through coursework, training, or professional ...

SDET / Automation Engineer

Woonsocket, RI · On-site

$44 - $58.25/hr

Job Title: SDET / Automation Engineer Key Responsibilities Building modern, AI-forward test automation. Building automation scripts (not just using existing tools). Ability to test both Java and ...

Identify opportunities for AI assisted development, including code generation, test creation, and ... training, and licensure and certifications. To support the ability to reward for merit based ...

Senior Software Engineer, Kotlin | MDM

NC · On-site +1

$140K - $220K/yr

Work on bleeding-edge multi-agent systems with AI powered tools that remove boilerplate and let you ... DevOps practices and tooling is valued • Caching systems expertise and experience with Redis is ...

Frontend Developer

Providence, RI

$105K - $122K/yr

The company is operating in stealth-mode developing scalable technologies and AI-driven products ... delivering software that does the job first and then improve it step by step. You will work ...

You will join our Software Engineering team, working alongside other Software Product Engineers ... Comfortable using AI coding assistants like Copilot or Claude as part of your normal workflow Nice ...

Showing results 41-60

Software Developer Ai Trainer information

What is a software developer AI trainer?

A Software Developer AI Trainer is responsible for training, testing, and improving AI models by providing high-quality data, refining algorithms, and ensuring accurate outputs. They work closely with developers, data scientists, and machine learning engineers to enhance AI applications. This role involves analyzing model performance, labeling data, writing code for automation, and fine-tuning AI systems to improve accuracy and efficiency.

What types of projects do software developer AI trainers typically work on?

Software Developer AI Trainers commonly work on projects involving the design, training, and optimization of AI models for tasks such as natural language processing, image recognition, or data analysis. They collaborate closely with software engineers, data scientists, and product teams to ensure that AI models are accurate, reliable, and efficient in real-world applications. Daily responsibilities might include curating and labeling datasets, evaluating model performance, and implementing feedback loops to refine results. This collaborative, project-driven environment provides opportunities to work on cutting-edge technology and directly impact product innovation and usability.

What are the key skills and qualifications needed to thrive as a software developer AI trainer?

To thrive as a Software Developer AI Trainer, you need a solid background in programming (such as Python, Java, or C++), experience with machine learning concepts, and often a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and data annotation tools is highly beneficial, and certifications in AI or data science can further strengthen your profile. Strong analytical thinking, communication skills, and a collaborative mindset set standout candidates apart in this role. These skills are essential for effectively developing, improving, and deploying AI models while working cross-functionally with engineers and data scientists.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Rhode Island? The most popular types of Software Developer Ai Trainer jobs in Rhode Island are:
What are popular job titles related to Software Developer Ai Trainer jobs in Rhode Island? For Software Developer Ai Trainer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Software Developer Ai Trainer jobs in Rhode Island look for? The top searched job categories for Software Developer Ai Trainer jobs in Rhode Island are:
What cities in Rhode Island are hiring for Software Developer Ai Trainer jobs? Cities in Rhode Island with the most Software Developer Ai Trainer job openings:
Infographic showing various Software Developer Ai Trainer job openings in Rhode Island as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Cranston, RI • Remote

Full-time

Re-posted 16 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.