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Ai Model Jobs in Rochester Hills, MI (NOW HIRING)

Technical Lead (Applied AI)

Detroit, MI · On-site

$143 - $185/hr

Ensure models are scalable, reliable, and integrated into production systems * Agentic AI Development * Design and develop LLM‑powered workflows and agentic systems that help users complete complex ...

Design and implement validation frameworks for deep learning models (perception, NLP, generative AI) deployed in automotive systems, covering accuracy, robustness, latency, and safety metrics.

Business Development Associate

Rochester, MI · On-site

$41K - $56K/yr

Altitude AI is a trusted leader in Industrial AI. Their US-based team partners with controls and robot engineers worldwide, leveraging a proprietary AI model to rapidly design and generate complete ...

Business Development Associate

Rochester, MI · On-site

$41K - $56K/yr

Altitude AI is a trusted leader in Industrial AI. Their US-based team partners with controls and robot engineers worldwide, leveraging a proprietary AI model to rapidly design and generate complete ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Medical Writing Manager

Warren, MI · Remote

$50 - $80/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Medical Billing Specialist

Warren, MI · Remote

$50 - $80/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Medical Writing Manager

Dearborn, MI · Remote

$50 - $80/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Medical Writing Manager

Detroit, MI · Remote

$50 - $80/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Develop model monitoring and drift detection systems for AI features running in production and test environments. * Collaborate with system architects to integrate AI model validation into existing ...

Showing results 21-40

Ai Model information

See Rochester Hills, MI salary details

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How much do ai model jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai model in Rochester Hills, MI is $28.87, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $36.06 per hour, depending on experience, location, and employer.

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What job categories do people searching Ai Model jobs in Rochester Hills, MI look for?

The top searched job categories for Ai Model jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Ai Model jobs?

Cities near Rochester Hills, MI with the most Ai Model job openings:

Infographic showing various Ai Model job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 2% Internship, 68% Full Time, 13% Part Time, and 17% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $60,055 per year, or $28.9 per hour.

Technical Lead (Applied AI)

X by 2

Detroit, MI • On-site

$143 - $185/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

X by 2 is a technology consulting firm specializing in healthcare and insurance transformation. For over 25 years, we have partnered with leading organizations across North America — from strategy and architecture to system modernization, data analytics, and AI — delivering high‑impact solutions from start to finish. We're agile, collaborative, and deeply committed to doing consulting the way it was meant to be done.

We are looking for a Technical Lead who will lead the design and development of AI solutions within enterprise environments for our clients. You'll combine hands‑on engineering with leadership, guiding architecture decisions, mentoring teams, and building solutions.

Responsibilities
  • Technical Leadership & Architecture

    • Lead architecture, design, development, testing, and deployment of enterprise software solutions (applications, data, integration, AI agents, AI models)
    • Participate in strategy and roadmap discussions, architecture definition, and technology evaluations
    • Mentor engineers through design reviews, code reviews, and technical guidance
    • Quickly evaluate and adopt new tools, technologies, and platforms to build prototypes and proofs‑of‑concept
    • Drive adoption of AI solutions and collaborate with engineering teams, product leaders, and domain experts to deliver results
  • Software Engineering

    • Design, develop, and maintain scalable, production‑grade enterprise applications using modern languages and frameworks (Python, Java, C#, JavaScript)
    • Define and enforce coding standards, best practices, and design patterns across the team
    • Build and maintain CI/CD pipelines, infrastructure‑as‑code, and cloud‑deployed services (AWS, Azure)
    • Integrate enterprise systems via APIs, event‑driven architectures, and messaging platforms
    • Identify and resolve performance bottlenecks, technical debt, and system reliability issues
  • Data & Analytics

    • Work with large, complex datasets and ensure data quality and integrity
    • Analyze data to generate insights that inform both model development and broader solution strategy
    • Collaborate with stakeholders to translate business problems into data‑driven solutions
  • AI / Machine Learning Development

    • Design, develop, and train machine learning and deep learning models for healthcare and insurance use cases
    • Perform data modeling and feature engineering to support model development
    • Develop custom model metrics and approaches tailored to specific business problems
    • Ensure models are scalable, reliable, and integrated into production systems
  • Agentic AI Development

    • Design and develop LLM‑powered workflows and agentic systems that help users complete complex tasks, retrieve information, reason over enterprise data, or interact with internal systems.
    • Integrate LLMs with tools, APIs, databases, documents, and enterprise platforms using patterns such as function calling, MCP, RAG, and structured tool use.
    • Architect orchestration patterns for planning, task decomposition, memory, context management, and human‑in‑the‑loop review where appropriate.
    • Develop orchestration layers to manage agent planning, memory, task decomposition, and execution loops
    • Evaluate agentic systems for correctness, reliability, safety, observability, auditability, and harden them for production readiness.
    • Stay current with emerging AI frameworks and platforms, selecting tools pragmatically based on client needs.
Qualifications
  • Experience

    • 6+ years of experience in software engineering designing and developing enterprise applications, data/analytics solutions, and/or integration solutions
    • 1+ years of providing technical leadership as Tech Lead, Lead Engineer, or Architect
    • 1+ years in developing AI agents and/or AI model development and training
  • Education

    • Bachelor's Degree in Computer Science, Software Development, Software Engineering, or Computer Engineering
    • (Optional) Master's Degree or Minor in AI/Machine Learning or Statistics
  • AI Engineering Skills (Two or More)

    • Agentic AI: building and integrating autonomous AI agents using LLM APIs and orchestration frameworks (e.g., Anthropic Claude, OpenAI GPT, LangChain, CrewAI, AutoGen, MCP)
    • Machine Learning & Deep Learning: developing and training models using standard ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit‑learn)
    • Data Engineering & Feature Engineering: building data pipelines, performing feature engineering, and ensuring data quality across large, complex datasets
    • Context Engineering: Agentic SQL retrieval, MCP integration, agentic tool use, as well as vector databases & RAG techniques implementing retrieval‑augmented generation patterns using vector stores (e.g., Pinecone, Weaviate, pgvector, ChromaDB), .
    • LLM Prompt Engineering & Fine‑Tuning: designing and evaluating effective prompts, system instructions, and fine‑tuning strategies for production LLM applications
    • AI Evaluation & Production Readiness: defining evaluation methods, testing model behavior, monitoring performance, and addressing reliability, safety, explainability, and auditability concerns
  • What We’re Looking For

    • You move fluidly between writing code and leading a room — equally comfortable in a design review as you are in a pull request
    • You have strong opinions about architecture and aren't afraid to share them, but you know when to listen and adapt
    • You take ownership seriously — on small teams, your decisions have real impact and you're energized by that, not intimidated
    • You're genuinely curious about AI, not just checking a box — you've experimented with agentic systems, LLMs, or ML tools on your own terms
    • You communicate clearly with both engineers and non‑technical stakeholders, and can translate complexity without dumbing it down
Location
  • Metro Detroit or North Carolina Research Triangle (Raleigh, Durham, Chapel Hill)
  • Hybrid: flexibility to work remotely, but not fully remote
  • Travel to X by 2 offices (Farmington Hills, MI) and client sites (within US) is required when requested
Work Environment and Culture
  • Work alongside smart, collaborative people who continually challenge and invest in each other
  • Partner with seasoned architects to solve hard problems and challenge assumptions
  • Small teams mean real ownership, with growth and responsibilities driven purely by individual performance
  • Everyone has a voice and is encouraged to shape the company by sharing their interests, ideas, and feedback
Compensation & Benefits
  • Base salary $143K–$185K, depending on experience, plus profit sharing
  • Annual raises and promotions based on performance
  • 401(k) with employer match
  • Comprehensive health, vision, dental, life, and disability insurance coverage, plus voluntary benefits and HSA with employer contribution
  • Home Office Reimbursement, Health and Wellness Reimbursement, and Professional Dress Allowance
  • Professional Self‑Development Program
  • Paid vacation, unlimited sick days (as needed), and holidays
  • Company-sponsored social events and an employee recognition rewards program
Sound Like You?

We're not looking for someone who has done everything — we're looking for someone who is driven to. If you thrive in environments where you can move fast, go deep, and make a real difference for clients solving complex problems in healthcare and insurance, we'd love to hear from you.

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X by 2 logo

About X by 2

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

1998