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Flexible Software Developer Ai Trainer Jobs in Springfield, MA

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

Principal Software Engineer - IE06GE We're determined to make a difference and are proud to be an ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

The Hartford

DevOps Software Engineer

Hartford, CT · On-site

$53.25 - $73/hr

As AI continues to transform software engineering and operations, we encourage our team members to ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

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All JobsSoftware Developer Ai Trainer JobsFlexible Software Developer Ai Trainer JobsFlexible Software Developer Ai Trainer Jobs in Springfield, MA

Flexible Software Developer Ai Trainer information

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$13

$31

$63

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

As of Aug 22, 2026, the average hourly pay for flexible software developer ai trainer in Springfield, MA is $31.13, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $35.43 per hour, depending on experience, location, and employer.

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.

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 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 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 are the most commonly searched types of Software Developer Ai Trainer jobs in Springfield, MA?

The most popular types of Software Developer Ai Trainer jobs in Springfield, MA are:

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For Flexible Software Developer Ai Trainer jobs in Springfield, MA, the most frequently searched job titles are:

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What cities near Springfield, MA are hiring for Flexible Software Developer Ai Trainer jobs?

Cities near Springfield, MA with the most Flexible Software Developer Ai Trainer job openings:

Flexible Software Developer Ai Trainer jobs near you

Senior Conversational AI Software Engineer

Prophecy Technologies

Hartford, CT • On-site

$123K - $162K/yr

Full-time

Re-posted 9 days ago

Job description

Role Description
• Lead the technical design and implementation of major components of our conversational AI platform (chat and voice)
• Own end-to-end delivery of complex features - from design through deployment, monitoring, and iteration
• Drive engineering excellence in code quality, testability, performance, scalability, and observability
• Perform deep design and code reviews; raise the technical bar across the team
• Integrate and evaluate Large Language Models, NLU/NLP engines, and STT/TTS components into production pipelines
• Partner with data scientists and ML engineers to operationalize models, evaluation frameworks, and guardrails
• Collaborate with cross-functional partners to translate ambiguous business requirements into clear technical solutions
• Help deploy, operate, and maintain large-scale software in production with strong operational discipline
• Mentor mid-level and senior engineers on advanced technical topics and best practices
• Contribute to the long-term technical strategy alongside Principal Engineers and architects
Required Qualifications
• 8 years of experience designing and building software engineering solutions in cloud environments (GCP, AWS, or Azure)
• 8 years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
• 8 years of experience with APIs, microservices, and modern software patterns
• 3 years of experience working with cross-functional stakeholders on complex requirements
• Solid working knowledge of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines)
Preferred Qualifications
• Hands-on experience integrating Large Language Models (LLMs) into production applications, including prompt engineering, RAG, and evaluation
• Experience developing and supporting voice and text chatbots, including dialog design at scale
• Experience with conversational AI platforms (e.g., Dialogflow, Lex, Rasa, Genesys, NICE, Twilio) and CCaaS/IVR Integrations
• Familiarity with LLM evaluation, guardrails, observability, and A/B testing of dialog flows
• Strong communication skills, capable of explaining technical concepts to both engineering and business audiences
• Advanced degree (Master''s or PhD) in Computer Science, Engineering, AI, or a related field

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