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Hourly Software Developer Ai Trainer Jobs in Rhode Island

Harris

Software Developer

Carolina, RI · On-site

We are looking for an intermediate Software Developer to join the NextGen R&D team at Harris School ... Use AI-assisted and agentic development tools to accelerate code analysis, development, debugging ...

SEACORP

Software Engineer IV - AI

Middletown, RI · On-site

Job Summary : SEACORP is seeking to fill a Software Engineer - AI positionto support the ... and developer productivity technologies. * Produce technical documentation, software artifacts ...

SEACORP

Software Engineer IV - AI

Middletown, RI · On-site

Experience improving developer productivity across large-scale software repositories through ... Experience with distributed AI/ML training technologies including PyTorch Distributed, DeepSpeed ...

SEACORP

Software Engineer IV - AI

Middletown, RI · On-site

... and developer productivity technologies. • Produce technical documentation, software artifacts ... using AI-assisted software engineering tools and workflows to support software development ...

Textron

Developer II

Providence, RI · On-site

Prior internship or project experience in software development or AI/ML projects is a plus. At ... one personal training, group classes, or working out alongside your teammates. We also offer a ...

Textron

Developer II

Providence, RI · On-site

Prior internship or project experience in software development or AI/ML projects is a plus. At ... one personal training, group classes, or working out alongside your teammates. We also offer a ...

Worky

Software Engineer I

Johnston, RI · On-site

$90 - $130/hr

AI Software Engineer We are seeking a motivated and curious AI Software Engineer to help build and support next-generation AI solutions, including Agentic AI capabilities that can plan, reason, and ...

Citizens Bank

Principal Software Engineer

Johnston, RI · On-site

$135K - $182K/yr

MongoDB DevOps & CI/CD * Jenkins * Harness * Git * Bitbucket * Nexus Security * OAuth * SAML * Secure SDLC Practices AI & Emerging Technology * GitHub Copilot * Large Language Models (LLMs)

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Hourly Software Developer Ai Trainer information

What is an hourly software developer AI trainer?

An Hourly Software Developer AI Trainer is a professional who helps train artificial intelligence systems, such as language models, by providing feedback, correcting outputs, and creating or reviewing datasets related to software development tasks. These trainers typically work on an hourly basis, often as contractors or freelancers, and use their coding expertise to ensure AI models understand programming concepts and generate accurate code. Their work is crucial for improving the performance and reliability of AI tools that assist with software development.

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

To thrive as an Hourly Software Developer AI Trainer, you need strong programming skills, a solid understanding of machine learning concepts, and hands-on experience with AI model training. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and version control systems such as Git is typically required. Excellent communication, attention to detail, and the ability to provide constructive feedback make someone stand out in this position. These skills are crucial for ensuring high-quality AI model outputs, effective collaboration, and continuous improvement of both models and team capabilities.

How does an hourly software developer AI trainer typically collaborate with AI engineers and data scientists during a project?

As an Hourly Software Developer AI Trainer, you will frequently work alongside AI engineers and data scientists to refine data sets, clarify annotation guidelines, and ensure that the training data aligns with the model's objectives. Communication is key, as you'll provide feedback on ambiguous cases and discuss edge scenarios with the technical team to improve model accuracy. This collaborative approach helps bridge the gap between practical software development experience and AI model training, contributing to better real-world performance of AI systems.

What is the difference between Hourly Software Developer Ai Trainer vs Hourly Data Scientist?

AspectHourly Software Developer Ai TrainerHourly Data Scientist
Required CredentialsBachelor's in CS or related field, AI/ML certificationsBachelor's or higher in CS, Statistics, or related field, certifications in data analysis
Work EnvironmentTech companies, AI startups, remote or on-siteResearch labs, tech firms, consulting, remote or on-site
Employer & Industry UsageAI development, machine learning projects, software firmsData analysis, predictive modeling, business intelligence

Hourly Software Developer Ai Trainers focus on developing and fine-tuning AI models, requiring programming skills and AI-specific knowledge. Data Scientists analyze data to extract insights, often working with statistical tools. While both roles involve data and technical skills, AI Trainers specialize in training AI systems, whereas Data Scientists focus on data analysis and interpretation.

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 cities in Rhode Island are hiring for Hourly Software Developer Ai Trainer jobs?

Cities in Rhode Island with the most Hourly Software Developer Ai Trainer job openings:

Hourly Software Developer Ai Trainer jobs near you

Software Engineer IV - AI

Systems Engineering Associates Corporation

Middletown, RI

Full-time

Re-posted 16 days ago

Job description

Job Summary: SEACORP is seeking to fill a Software Engineer - AI positionto support the development, integration, testing, and sustainment of modern USNavy software systems using advanced AI-assisted software engineeringworkflows. This position is intended for highly capable software engineers whoare proficient not only in software development fundamentals, but also inleveraging AI-enabled development tools to accelerate delivery, improve codequality, automate repetitive tasks, and enhance engineering productivity acrossthe software lifecycle. The ideal candidate understands how to effectively utilizeAI coding assistants, agentic software engineering workflows, and moderndeveloper tooling to support requirements analysis, software implementation,testing, debugging, refactoring, documentation generation, and codebasecomprehension. This role requires strong engineering judgment and the abilityto balance AI-generated outputs with sound software engineering principles,architecture awareness, maintainability, and operational reliability.

Job Responsibilities Include: 

  • Develop, integrate, test, and maintain software applications using modern AI-assisted software engineering workflows.
  • Utilize AI development tools such as Cursor, Claude Code, OpenAI Codex, Continue.dev, and related technologies to improve software engineering productivity and effectiveness.
  • Collaborate with software engineers, architects, testers, and system integrators within Agile software development environments.
  • Implement software solutions in Java and related technologies while applying secure coding practices and software engineering best practices.
  • Utilize Git, GitLab, and Atlassian collaboration tools to support source control, issue tracking, code reviews, sprint execution, and software delivery workflows.
  • Support AI-assisted code generation, debugging, test generation, refactoring, and documentation activities while validating outputs for correctness, maintainability, and security.
  • Work within large and complex codebases while leveraging AI tooling to improve software comprehension, navigation, and development efficiency.
  • Support CI/CD-driven software engineering workflows and automated testing approaches.
  • Assist with the evaluation and adoption of emerging AI-enabled software engineering tools, workflows, and developer productivity technologies.
  • Produce technical documentation, software artifacts, test evidence, and implementation guidance to support engineering and program objectives.

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