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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 ...

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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Hourly Software Developer Ai Trainer information

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$13

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

As of Aug 3, 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 are the key skills and qualifications needed to thrive as an Hourly Software Developer AI Trainer, and why are they important?

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.

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.

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

Staff Software Engineer - AI

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$127K - $191K/yr

Full-time

Re-posted 9 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

58th of 301 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

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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

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