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Hourly 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.

DataAnnotation

Treasury Analyst - AI Trainer

Hartford, CT · Remote

$50 - $100/hr

Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ... Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate the quality ...

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Hourly Software Developer Ai Trainer information

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$13

$31

$63

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

As of Aug 28, 2026, the average hourly pay for hourly 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 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 Springfield, MA?

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

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

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

Hourly 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 15 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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