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Software Engineer Ai Model Training Jobs in Missouri

SwanTech Inc.

Full Stack Software Engineer

California, MO · On-site

$90 - $120/hr

Integrate LLMs and ML model outputs into end-user applications and developer-facing APIs. * Collaborate with AI and semiconductor domain experts to translate complex workflows into modular ...

New

Broadcom Inc.

R&D Software Engineer

California, MO · On-site

$144 - $230/hr

Position Overview We are seeking a Staff/Principal R&D Software Engineer (ICB5) to serve as a ... for AI-driven business case generation, automated backlog grooming, capacity modeling, and ...

New

ClickUp

Senior AI Engineer - AI Platform

California, MO · On-site

$130 - $160/hr

Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure ... Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI ...

New

Bass Pro Shops

Lead Engineer AI/ML - Onsite

Springfield, MO · On-site

$93K - $122K/yr

Build production-quality Python code for model training, evaluation, preprocessing, postprocessing ... Strong software engineering fundamentals and ability to build maintainable ML systems beyond ...

Jobgether

$80K - $110K/yr

Develop portable abstractions across models, providers, protocols, tools, and agent execution ... Build robust research software, APIs, integration layers, and testing infrastructure to support ...

McCarthy Building Companies

AI Engineer II

Saint Louis, MO · On-site

$92K - $126K/yr

The ideal candidate combines strong software engineering fundamentals with experience in AI and ... Contribute to the design and evolution of data models and ontologies that support operational and ...

McCarthy Holdings, Inc.

AI Engineer II

Saint Louis, MO

$91K - $125K/yr

The ideal candidate combines strong software engineering fundamentals with experience in AI and ... Contribute to the design and evolution of data models and ontologies that support operational and ...

McCarthy Holdings, Inc.

AI Engineer II

Saint Louis, MO · On-site

$110 - $160/hr

The ideal candidate combines strong software engineering fundamentals with experience in AI and ... Contribute to the design and evolution of data models and ontologies that support operational and ...

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Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Missouri?

For Software Engineer Ai Model Training jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Missouri look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Missouri are:

What cities in Missouri are hiring for Software Engineer Ai Model Training jobs?

Cities in Missouri with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you
Infographic showing various Software Engineer Ai Model Training job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Software Engineer, Data Infrastructure & Acquisition - Kansas City, MO, USA

Clutch Canada

Kansas City, MO • On-site

$140 - $200/hr

Other

Posted yesterday

New

Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text‑to‑speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text‑to‑speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high‑quality datasets at petabyte‑scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next‑generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next‑generation consumer and enterprise products.
An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments.
  • Proficiency in Docker and Infrastructure‑as‑Code concepts and professional experience with at least one major Cloud Provider (we use GCP).
  • Experience with web crawlers, large‑scale data processing workflows is a plus.
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.
What we offer
  • A fast‑growing environment where you can help shape the company and product.
  • An entrepreneurial‑minded team that supports risk, intuition, and hustle.
  • A hands‑off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid‑back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life‑changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest‑growing sectors of tech, the intersection of artificial intelligence and audio.
Compensation

U.S. base salary range for this full‑time position is $140,000–$200,000 + bonus + equity depending on experience.

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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