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Flexible Software Developer Ai Trainer Jobs (NOW HIRING)

Working alongside our AI Platform Software Developer, Architecture team, and highly skilled ... Building, training, evaluating, deploying, monitoring, and continuously improving machine learning ...

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand?

AI Software Developer

Ann Arbor, MI Ā· On-site

$47.82 - $53.13/hr

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. * 3 ... We also offer free online training through Aquent Gymnasium. More information on our awesome ...

Software Developer

Solana Beach, CA Ā· On-site +1

$120K - $180K/yr

AI-assisted development is a core part of how our engineering team works. We actively leverage ... and training. Procede will not sponsor applicants for immigration-related benefits. Salary ...

AI-assisted development is a core part of how our engineering team works. We actively leverage ... training. Procede will not sponsor applicants for immigration-related benefits. Requirements:

Job Summary We are seeking a Senior Software Developer with 6+ years of experience who builds and ... Hands-on experience building, training, evaluating, and deploying machine-learning / AI models in ...

Leidos is seeking an AI Software Developer to join the Air Traffic Business Area within the Homeland Sector , supporting the development of the Leidos Common Baseline . Common Baseline is a mission ...

Associate Software Developer (Campus / New Grad AI & Full Stack) Position Summary: Client: Financial/Banking Job Title: Entry Developer/Associate Software Engineer Duration: 6 to 12 months (Contract ...

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Flexible Software Developer Ai Trainer information

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How much do flexible software developer ai trainer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for flexible software developer ai trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a flexible software developer AI trainer, and why are they important?

To thrive as a Flexible Software Developer AI Trainer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and experience in software development, often with a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and prompt engineering tools is typically required. Excellent communication, adaptability, and problem-solving skills help you effectively train, evaluate, and improve AI models. These competencies are vital for ensuring high-quality AI training data and optimal model performance in a rapidly evolving tech environment.

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

AspectFlexible Software Developer Ai TrainerData Scientist
Required CredentialsBachelor's in CS or related field, AI/ML certifications often preferredBachelor's or higher in CS, Statistics, or related field, often with advanced degrees
Work EnvironmentTech companies, AI startups, remote or office-basedResearch labs, tech firms, consulting, often remote or hybrid
Employer & Industry UsageAI development, software firms, startupsData analysis, predictive modeling, research projects

While both roles involve working with data and AI, a Flexible Software Developer Ai Trainer primarily focuses on developing and training AI models through coding and software engineering. In contrast, a Data Scientist emphasizes analyzing data, building statistical models, and deriving insights. The roles overlap in skills like programming and understanding AI, but their core responsibilities differ based on their focus areas.

What types of collaboration can a flexible software developer AI trainer expect when working on projects?

As a Flexible Software Developer AI Trainer, you will frequently collaborate with data scientists, product managers, and other software engineers to design, implement, and refine AI models and training datasets. Regular communication is key, as you'll need to provide feedback on model performance, clarify requirements, and sometimes help shape project goals. This role often involves remote teamwork, using agile methodologies and a variety of communication tools to coordinate effectively. Being proactive and adaptable will help you navigate shifting project priorities and contribute to successful outcomes.

What is a flexible software developer AI trainer?

A Flexible Software Developer AI Trainer is a professional who works on training artificial intelligence (AI) systems by providing high-quality data, feedback, and guidance, often on a flexible or part-time schedule. This role typically involves tasks such as evaluating AI-generated code, annotating datasets, or reviewing language model outputs to improve accuracy and performance. The 'flexible' aspect means that work hours and locations are adaptable to the trainer's needs, making it ideal for those seeking remote or non-traditional work arrangements. This job is essential for advancing AI technologies and ensuring their outputs meet user expectations.
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Infographic showing various Flexible Software Developer Ai Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Full-time

Re-posted 14 days ago


Job description

About Curve Dental:
Build the Next Generation of AI-Enabled Dental Software
Curve Dental is the leading cloud-based dental practice management platform, helping thousands of dental practices streamline operations, improve patient experiences, and grow their businesses.
We're entering the next phase of the Curve platform. We believe the future of dental software isn't simply AI-powered, it is AI-enabled. Curve is building a shared intelligence platform that brings agentic AI into every aspect of the dental practice. From revenue cycle management and patient communications to scheduling, clinical documentation, insurance workflows, and operational automation, our goal is to create intelligent systems that help practices operate more efficiently while allowing dental teams to focus on delivering exceptional patient care.
To help bring this vision to life, we're looking for an AI Software Developer to join our team. Working alongside our AI Platform Software Developer, Architecture team, and highly skilled development teams, you'll help design, build, and deliver production AI capabilities that power intelligent workflows throughout the Curve platform.
This is a hands-on development role. You'll spend the majority of your time, designing, building, testing, reviewing, and delivering production software while helping bring intelligent agents, machine learning models, and AI-powered workflows into the hands of thousands of customers.
We move quickly, collaborate closely, and take ownership. Whether you're building a new intelligent workflow, deploying a machine learning model, troubleshooting a production issue, or helping another developer solve a difficult technical challenge, you'll be expected to jump in where needed and help deliver the best possible product.
This is an opportunity to help build the AI capabilities that will power the next generation of dental software.
What You'll Do
As an AI Software Developer, you'll work alongside our Architecture, Development and Product teams to build and deliver intelligent capabilities across the Curve platform.
Your responsibilities will include:
  • Designing, building, testing, and delivering production AI capabilities, including intelligent agents, workflows, MCP servers, integrations, machine learning models, and shared services
  • Developing AI-powered products that automate clinical, operational, financial, and patient-facing workflows across the Curve platform
  • Building, training, evaluating, deploying, monitoring, and continuously improving machine learning models and intelligent services running in production
  • Developing reusable MCP tools, APIs, and platform components that accelerate AI development across multiple platform teams
  • Writing high-quality production code while leveraging modern AI-assisted development tools, including Claude Code, to improve software quality and development productivity
  • Participating in technical design discussions, code reviews, testing, production deployments, and production support throughout the software development lifecycle
  • Working closely with Product, UX, Architecture, and development teams to transform business requirements into secure, scalable, maintainable software
  • Continuously improving AI capabilities through experimentation, prompt engineering, model tuning, evaluation, monitoring, and operational feedback
  • Taking ownership of production software by troubleshooting complex issues, improving reliability, and helping deliver exceptional customer experiences

What We're Looking For
We're looking for an exceptional software developer who combines deep hands-on AI expertise with a passion for building production systems.
Required Qualifications
  • 5+ years of professional software development experience building scalable SaaS applications
  • 2+ years designing, building, and deploying production AI applications, platforms, or intelligent workflow solutions
  • Demonstrated experience taking AI-powered solutions from proof-of-concept through production deployment and continuously improving them through evaluation, monitoring, iteration and operational feedback
  • Demonstrated experience writing high-quality production code and supporting production software
  • Strong expertise in modern backend development, with experience in Python or similar technologies
  • Experience building intelligent agents, MCP servers, AI tools, or similar integration architectures
  • Experience training, deploying, evaluating, and maintaining machine learning models in production
  • Experience working with LLMs, embeddings, Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering
  • Strong understanding of distributed systems, APIs, cloud-native architectures, and modern software development practices
  • Experience participating in technical design discussions, code reviews, and collaborative software development
  • Experience using AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or similar technologies
  • Thrives in a fast-paced environment, embraces ownership, and enjoys solving difficult development challenges

Preferred Qualifications
Experience with one or more of the following:
  • Production AI platforms (LangGraph, Amazon Bedrock, OpenAI, Anthropic, or similar technologies)
  • Agentic AI frameworks and MCP servers, and AI integration ecosystems
  • Production AI operations, including model deployment, evaluation, observability, governance, or MLOps
  • Conversational AI, speech technologies or customer facing AI applications
  • Retrieval-Augmented Generation (RAG), vector databases, and semantic search
  • Building AI capabilities within large-scale, multi-tenant SaaS platforms
  • Experience building software in healthcare or other highly regulated environments

What Success Looks Like
During your first year, you will:
  • Deliver production AI capabilities that are adopted across the Curve platform and used by thousands of dental practices
  • Become a trusted technical contributor on AI initiatives across multiple product teams
  • Build reusable agents, tools, workflows, and platform components that accelerate AI development throughout the organization
  • Help evolve Curve's AI platform through practical implementation, continuous improvement, and production feedback
  • Consistently deliver high-quality production software while helping improve development practices across the development organization
  • Become a developer that others rely on when solving difficult AI development challenges and building reliable production systems