1

Flexible Software Developer Ai Trainer Jobs in Springfield, MA

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.

New

DevOps Software Engineer

Hartford, CT

$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.

next page

Showing results 1-20

Flexible Software Developer Ai Trainer information

See Springfield, MA salary details

$13

$31

$63

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

As of Jul 31, 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 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.
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 are popular job titles related to Flexible Software Developer Ai Trainer jobs in Springfield, MA? For Flexible Software Developer Ai Trainer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Flexible Software Developer Ai Trainer jobs in Springfield, MA look for? The top searched job categories for Flexible Software Developer Ai Trainer jobs in Springfield, MA are:
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:

$127K - $191K/yr

Full-time

Re-posted 6 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

58th of 300 rated insurance


Job description

Senior Staff Software Engineer - IE07HE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Position Overview
We are seeking a highly motivated, visionary and technically accomplished AI engineer/Software developer to join our team and lead the design, development, deployment, and adoption of AI and machine learning solutions. This role will focus on building agentic AI systems, generative AI workflows, and scalable data platforms that power intelligent decision-making across the enterprise. The ideal candidate will possess deep expertise in AI/ML, software engineering, quality engineering, and cloud-native architectures, with a passion for solving complex problems using cutting-edge technologies.
Key Responsibilities
  • Develop Algorithms that enable AI agents to perform tasks without step-by-step instructions.
  • Design and implement agentic AI systems capable of autonomous decision-making, learning from experience, and adapting to dynamic goals and contexts
  • Design and develop multi-agent frameworks using tools such as LangGraph, Crew AI, or Semantic Kernel to orchestrate intelligent workflows.
  • Design and develop machine learning techniques that allow agents to learn from experience and adapt over time.
  • Translate business requirements into agentic AI solutions.
  • Collaborate with data scientists, software engineers, business stakeholders, and product teams to integrate AI solutions into production systems.
  • Conduct context and prompt engineering using zero-shot, few-shot, and chain-of-thought techniques to enhance model performance and relevance.
  • Optimize agents based on different models for performance, scalability, and accuracy.
  • Ensure ethical AI practices and compliance with data privacy regulations.
  • Document processes, models, and code for transparency and reproducibility.
  • Conduct research and stay up to date with the latest advancements in AI/ML technologies.

AI-Driven Testing & Innovation
  • Evaluate, implement, and scale AI-powered testing tools (e.g., self-healing automation, test generation, predictive defect analytics).
  • Leverage machine learning and generative AI to improve:
  • Test case generation
  • Test data creation
  • Defect prediction and triaging
  • Root cause analysis
  • Drive adoption of intelligent test automation frameworks and autonomous testing strategies.

Collaboration & Stakeholder Management
  • Partner with Product Managers, Architects, and Engineering leaders to embed quality early in design.
  • Partner with Product Managers, Architects, Engineering leaders, and RTEs
  • Communicate status, risks, and improvements to leadership
  • Influence enterprise adoption of modern Engineering practices across multiple teams and programs.

Required Skills & Experience
  • Proficiency in programming languages such as Python, Java, or C++.
  • UI/End to End Test Automation with Playwright
  • Performance Load testing
  • Strong foundation in AI/ML algorithms, data structures, software & quality engineering principles.
  • Understanding of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions.
  • Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker for CI/CD).
  • Solid knowledge of data structures, algorithms, and software engineering principles.
  • Experience with agent orchestration, LLMOps, and model lifecycle management, vector search, information retrieval, graph algorithms and knowledge graph.
  • Experience with version control systems (e.g., Git).
  • Familiarity with agent orchestration platforms and enterprise integration.
  • Strong problem-solving skills and ability to work independently and collaboratively.

Preferred Skills & Experience
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning.
  • Knowledge of generative AI and foundation models (e.g., Gemini, Claude).
  • Experience with real-time inference systems and edge AI.
  • Background in mathematics, statistics, or computational neuroscience.
  • Understanding of LLM (Large Language Model) & LRM (Large Reasoning Model)
  • Understanding of AI ethics, bias mitigation, and explainable AI.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$127,600 - $191,400
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

Social media