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Flexible 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 ...

THOMSON REUTERS

Lead Software Engineer, AI

Ann Arbor, MI · Hybrid

Lead Software Engineer, AI Are you passionate about building AI-driven software that transforms how ... We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the ...

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

Mercor

Industrial Engineer - AI Trainer

Detroit, MI · Remote

$70 - $110/hr

Compare AI-generated responses based on engineering rigor, process efficiency, and quality-control soundness. * Review industrial engineering scenarios involving production sequencing and cost ...

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Flexible Software Developer Ai Trainer information

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 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 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 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 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 Flexible Software Developer Ai Trainer jobs in Michigan?

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

What job categories do people searching Flexible Software Developer Ai Trainer jobs in Michigan look for?

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

What cities in Michigan are hiring for Flexible Software Developer Ai Trainer jobs?

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

Flexible 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 3 days ago

New

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 307 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,302 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 a Senior Software Developer, you will build the software that powers GM's virtual development environments, SIL workflows, and AI-enhanced simulation capabilities. You bring strengths in automation, embedded systems, and problem-solving - and this role expands your exposure to cloud, data, ML fundamentals, and large-scale simulation architecture.
What You'll Do (Responsibilities):
  • Develop backend services supporting virtual ECUs, simulation orchestration, and model execution.
  • Build tools for SIL workflows including scenario execution, data capture, and automation.
  • Integrate AI/ML components into simulation or validation pipelines.
  • Design APIs for simulation control, artifact management, and orchestration.
  • Optimize performance for compute-intensive workloads.
  • Collaborate with DevOps and simulation teams to ensure seamless integration.
  • Contribute to CI/CD workflows for 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 experience in software development, simulation, or embedded systems.
  • Strong programming skills in Python, C++, C#, or Java.
  • Experience with simulation or virtualization (vECUs, FMUs, SIL).
  • Understanding of cloud services and distributed systems.
  • Experience with CLI-based architecture for tools design.
  • Knowledge of MCP-based architecture for AI tools design.
  • Experience with databases for simulation metadata 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 microservices for simulation orchestration.
  • Knowledge of Kubernetes for running compute workloads.
  • Performance tuning expertise for simulation or AI pipelines.
  • Experience with automotive data and domain modeling.
  • Experience with ontology-based engineering processes and architecture frameworks.
  • 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, emailus 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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