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Software Developer Ai Trainer Jobs in Detroit, MI

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. * 3 ... We also offer free online training through Aquent Gymnasium. More information on our awesome ...

Stefanini

AI Software Developer

Allen Park, MI · On-site

Stefanini is looking for an AI Software Developer(Allen Park, MI) For quick apply, please reach out to Lovkesh Bharti at / We are looking for responsible for designing, developing, testing and ...

Aquent Talent

AI Software Developer [211339]

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. * 3 ... We also offer free online training through Aquent Gymnasium. More information on our awesome ...

Mercor

Civil Engineer - AI Trainer

Detroit, MI · On-site +1

$70 - $80/hr

Experience in rubric, engineering-training curriculum, or design documentation authorship. Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume

FANUC America

Software Developer

Rochester Hills, MI

$81K - $130K/yr

Who You Are The Software Developer will be responsible for the development of industrial desktop ... Develop and conduct internal training classes for team products * Web Development, ASP.Net, MVC ...

Epitec

3DX Software Developer

Dearborn, MI · On-site

$60 - $75/hr

Contract * Job #106032 Job Title -3DX Software Developer Location: Dearborn, Michigan (4 Days ... Leverage AI-assisted development tools (Copilot, LLMs) to accelerate coding, documentation, and ...

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Software Developer Ai Trainer information

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$13

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$63

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

As of Aug 21, 2026, the average hourly pay for software developer ai trainer in Detroit, MI is $30.93, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $35.24 per hour, depending on experience, location, and employer.

What is a software developer AI trainer?

A Software Developer AI Trainer is responsible for training, testing, and improving AI models by providing high-quality data, refining algorithms, and ensuring accurate outputs. They work closely with developers, data scientists, and machine learning engineers to enhance AI applications. This role involves analyzing model performance, labeling data, writing code for automation, and fine-tuning AI systems to improve accuracy and efficiency.

What are the key skills and qualifications needed to thrive as a software developer AI trainer?

To thrive as a Software Developer AI Trainer, you need a solid background in programming (such as Python, Java, or C++), experience with machine learning concepts, and often a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and data annotation tools is highly beneficial, and certifications in AI or data science can further strengthen your profile. Strong analytical thinking, communication skills, and a collaborative mindset set standout candidates apart in this role. These skills are essential for effectively developing, improving, and deploying AI models while working cross-functionally with engineers and data scientists.

What types of projects do software developer AI trainers typically work on?

Software Developer AI Trainers commonly work on projects involving the design, training, and optimization of AI models for tasks such as natural language processing, image recognition, or data analysis. They collaborate closely with software engineers, data scientists, and product teams to ensure that AI models are accurate, reliable, and efficient in real-world applications. Daily responsibilities might include curating and labeling datasets, evaluating model performance, and implementing feedback loops to refine results. This collaborative, project-driven environment provides opportunities to work on cutting-edge technology and directly impact product innovation and usability.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Detroit, MI?

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For Software Developer Ai Trainer jobs in Detroit, MI, the most frequently searched job titles are:

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Software Developer Ai Trainer jobs near you
Infographic showing various Software Developer Ai Trainer job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $64,332 per year, or $30.9 per hour.

Senior Software Developer- AI Enablement

General Motors

Milford, MI • On-site

$48 - $63.25/hr

Full-time

Posted 11 hours ago

Posted today

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,297 frontline employees who took The Breakroom Quiz

Job description

Job Description

The Team:

The CoSim Infrastructure, Quality, and Scalability team, within GM's Virtualization and SIL Integration organization, builds the foundational software, automation, and integration capabilities that make virtual ECUs and co-simulation environments reliable, reusable, and scalable across vehicle domains.

The team develops and evolves CoSim/SIL infrastructure-including SoftECU and FMI-based capabilities, RestBus and SIMETH connectivity, HWIO and calibration enablement, build and CI/CD pipelines, and automated quality gates-while improving package consistency, test coverage, observability, and defect triage.

Their work enables engineering, calibration, and verification teams to validate embedded-platform software earlier and with greater confidence, supporting daily regression testing as well as complex, multi-variant, multi-domain virtual validation. Within the broader Virtualization and SIL Integration organization, the team collaborates closely with domain teams to deliver high-fidelity virtual environments and advance GM's software-defined vehicle development process.

The Role:

As aSenior Software Developer, you will build the software that powers GM's virtual development environments, SIL workflows, andAIenhancedsimulation capabilities. You bring strengths in automation, embedded systems, andproblemsolving- and this role expands your exposure to cloud, data, ML fundamentals, andlargescalesimulation architecture.

WhatYou'llDo (Responsibilities):

  • Develop backend servicessupporting virtual ECUs,simulationorchestration, and model execution.
  • Build tools for SIL workflowsincluding scenario execution, data capture, and automation.
  • Integrate AI/ML componentsinto simulation orvalidationpipelines.
  • Design APIsfor simulation control, artifact management, and orchestration.
  • Optimizeperformanceforcomputeintensiveworkloads.
  • Collaborate with DevOps and simulation teamsto ensure seamless integration.
  • Contribute to CI/CD workflowsfor simulation and AI components.

Your Skills & Abilities (Required Qualifications):

  • Bachelor's degree (or higher) in Engineering, Computer Science, or related field.
  • 7+ years of relevant experiencein software development, simulation, or embedded systems.
  • Strong programming skillsin Python, C++, C#, or Java.
  • Experience with simulation or virtualization(vECUs, FMUs, SIL).
  • Understanding ofcloud servicesand distributed systems.
  • Experience with CLI-based architecturefor tools design.
  • Knowledge ofMCP-based architecture for AI tools design.
  • Experience with databasesforsimulationmetadata and results.

What Will Give You a Competitive Edge (Preferred Qualifications):

  • Optional AI skills: ML lifecycle basics, Vector search or embeddings, and model integration.
  • Experience with microservicesforsimulationorchestration.
  • Knowledge of Kubernetesfor runningcomputeworkloads.
  • Performance tuningexpertisefor simulation or AI pipelines.
  • Experience with automotive dataand domain modeling.
  • Experiencewithontology-basedengineeringprocessesand architectureframeworks.
  • Advanced knowledge of ontology technologies and ontology design patterns (Owl, RDF, SPARQL, Automated reasoning).

#LI-DH2

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors

What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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