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Flexible Software Developer Ai Trainer Jobs (NOW HIRING)

Software Developer - AI Productization About LRS Levi, Ray & Shoup, Inc. (LRS) is a privately held ... Professional development and training opportunities Opportunity to work with innovative ...

$54.50 - $72/hr

We do full stack benchmarking for Data Center scale systems for AI training/inference and lower ... Sc degree in Computer Science / Software engineering or equivalent experience. * 5+ years of ...

The ideal candidate with a strong background in software engineering, solution architecture, DevOps, developer enablement, or technical training, who has hands-on experience using AI tools in ...

As a Staff Software Developer on Auvik's AI & Platform team, you'll be a hands-on technical leader building the AI-powered capabilities in our product. You'll work alongside a Staff Data Engineer ...

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

As of Jul 24, 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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What cities are hiring for Flexible Software Developer Ai Trainer jobs? Cities with the most Flexible Software Developer Ai Trainer job openings:
What are the most commonly searched types of Software Developer Ai Trainer jobs? The most popular types of Software Developer Ai Trainer jobs are:
What states have the most Flexible Software Developer Ai Trainer jobs? States with the most job openings for Flexible Software Developer Ai Trainer jobs include:
What job categories do people searching Flexible Software Developer Ai Trainer jobs look for? The top searched job categories for Flexible Software Developer Ai Trainer jobs are:
Infographic showing various Flexible Software Developer Ai Trainer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Software Developer - AI Productization

LRS

Dallas, TX โ€ข On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Description Software Developer - AI Productization About LRS Levi, Ray & Shoup, Inc. (LRS) is a privately held global technology company dedicated to delivering innovative software, solutions, and services that help organizations improve operational efficiency, enhance business performance, and accelerate digital transformation. As we continue to invest in emerging technologies, we are expanding our capabilities in Artificial Intelligence (AI) and intelligent automation to create impactful solutions for our customers and internal teams.

Position Summary LRS is seeking a talented and experienced Software Developer - AI Productization to join our Dallas office. This role is ideal for a software engineering professional who is passionate about leveraging AI technologies to solve business problems and deliver production-ready solutions. The successful candidate will combine strong software development expertise with knowledge of modern AI technologies to design, develop, and deploy intelligent applications and services.

This individual will work closely with product managers, architects, business stakeholders, and fellow developers to transform innovative ideas into scalable, secure, and maintainable software products. Key Responsibilities Design, develop, test, and maintain enterprise software applications with AI-enabled capabilities. Design, develop, test, and maintain enterprise level real-time software to process documents and images using AI-enabled capabilities.

Evaluate, integrate, and implement AI technologies to improve products, services, and business processes for LRS customers and products. Develop scalable APIs, services, and application components that support AI-driven functionality in new and legacy software applications Collaborate with product teams and business stakeholders to identify opportunities for AI-powered enhancements. Participate in solution architecture, technical design reviews, and code reviews.

Integrate Large Language Models (LLMs), intelligent agents, automation frameworks, and other emerging AI technologies into business applications. Ensure solutions meet requirements for performance, scalability, security, reliability, and maintainability. Support the deployment, monitoring, and continuous improvement of AI-enabled applications.

Stay current with advancements in AI and software engineering and recommend technologies that can create business value. Contribute to technical documentation and promote software engineering best practices. Mentor junior team members and foster a culture of collaboration and innovation.

Required Qualifications Education Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline required. Master's degree in a AI related field preferred. Equivalent combinations of education, technical expertise, and relevant professional experience will also be considered.

Experience 6-8 years of professional software development experience. Experience designing, developing, and deploying enterprise software applications. Experience implementing or integrating AI capabilities into software products, business applications, or business processes.

Experience working in Agile development environments. Technical Qualifications Strong software engineering fundamentals, including application architecture, design patterns, testing, and system integration. Experience developing modern enterprise applications using object-oriented and service-oriented development practices.

Experience designing and implementing APIs, microservices, and distributed systems. Familiarity with Generative AI technologies, Large Language Models (LLMs), AI agents, and Retrieval-Augmented Generation (RAG) concepts. Experience integrating third-party platforms, services, and data sources into enterprise applications.

Experience with cloud-based application development and deployment. Understanding of data management, system interoperability, and application security principles. Familiarity with DevOps practices, CI/CD pipelines, source control, and automated testing.

Preferred Qualifications Experience productizing AI solutions and bringing concepts from prototype to production. Experience evaluating and implementing AI technologies to solve business challenges. Familiarity with Microsoft AI technologies, Azure AI Services, Microsoft Copilot, OpenAI, Anthropic, Google AI, or similar platforms.

Knowledge of AI governance, security, privacy, and responsible AI principles. Experience working with cross-functional product and engineering teams. Desired Competencies Strong analytical and problem-solving skills.

Excellent verbal and written communication abilities. Ability to translate business requirements into effective technical solutions. Strong collaboration and relationship-building skills.

Curiosity, adaptability, and enthusiasm for emerging technologies. Results-oriented mindset with a focus on delivering business value. Compensation & Benefits Salary Range: $120,000 - $150,000 annually Comprehensive medical, dental, and vision coverage 401(k) retirement savings plan Paid time off and company holidays Professional development and training opportunities Opportunity to work with innovative technologies and a collaborative team environment LRS is an equal opportunity employer.

Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status.