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Freelance Software Developer Ai Trainer Jobs in Michigan

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 ...

CFS

Software Developer

Lansing, MI · On-site

$43 - $58/hr

Leverage modern development tools, including AI-assisted coding technologies, to improve productivity and code quality Preferred Experience of the Software Developer: * 5+ years of professional ...

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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Freelance Software Developer Ai Trainer information

What is a freelance software developer AI trainer?

Freelance Software Developer AI Trainers are professionals who work independently to help train artificial intelligence systems, such as machine learning models, by providing software development expertise and annotated data. They may evaluate AI outputs, write code snippets, or give feedback on programming tasks to ensure AI models perform accurately in real-world scenarios. These freelancers often collaborate with companies developing AI products, using their coding knowledge to improve the quality, relevance, and reliability of AI-generated solutions.

How does a freelance software developer AI trainer typically collaborate with AI research teams or clients during projects?

As a Freelance Software Developer AI Trainer, you will frequently work with AI research teams, data scientists, or client stakeholders to clarify project goals, align on training data needs, and review model performance. Communication is often remote and asynchronous, requiring clear documentation and regular status updates. Collaboration tools like Slack, GitHub, or project management platforms are commonly used to coordinate tasks and share feedback. This collaborative approach ensures the AI models you help train meet both technical requirements and end-user expectations.

What are the key skills and qualifications needed to thrive as a freelance software developer AI trainer, and why are they important?

To thrive as a Freelance Software Developer AI Trainer, you need a strong background in software development, AI concepts, and programming languages such as Python, often supported by a degree in computer science or related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), collaborative platforms, and version control systems (like Git) is typically expected. Exceptional communication, adaptability, and analytical thinking are vital soft skills for effectively conveying complex topics and tailoring instruction to diverse learners. These skills ensure high-quality, impactful training that meets client needs and drives successful AI project outcomes.

What is the difference between Freelance Software Developer Ai Trainer vs Freelance Data Scientist?

AspectFreelance Software Developer Ai TrainerFreelance Data Scientist
Required SkillsProgramming, AI model training, machine learning frameworksData analysis, statistical modeling, programming
Work EnvironmentRemote, project-based, client-specificRemote, consulting or project-based
Common Industry UsageAI development, machine learning projectsData analysis, predictive modeling

Freelance Software Developer Ai Trainers focus on developing and training AI models using programming and machine learning skills, often working on specific AI projects. Freelance Data Scientists analyze data to extract insights and build predictive models. While both roles require programming knowledge, 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 Michigan?

The most popular types of Software Developer Ai Trainer jobs in Michigan are:

What are popular job titles related to Freelance Software Developer Ai Trainer jobs in Michigan?

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

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The top searched job categories for Freelance Software Developer Ai Trainer jobs in Michigan are:

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Cities in Michigan with the most Freelance Software Developer Ai Trainer job openings:

Freelance Software Developer Ai Trainer jobs near you

Senior Software Developer- AI Enablement

General Motors

Milford, MI • On-site

$48 - $63.25/hr

Full-time

Posted 10 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

General Motors logo

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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