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Ai Training Jobs in Spring Lake, MI (NOW HIRING)

Magna

Controls Technician

Holland, MI · On-site

$28.50 - $37.75/hr

... training and work direction to other staff. Performs other duties as necessary. 7. Be a first line ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Design and implement AI-ready data pipelines-ensuring data is clean, well-structured, and optimized for downstream model training, inference, and analytics consumption. * Collaborate with business ...

Magna

Controls Technician

Holland, MI · On-site

$28.50 - $37.75/hr

... training and work direction to other staff. Performs other duties as necessary.7. Be a first line ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

Aerotek

Superintendent

Jenison, MI

$75K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide training and guidance to crew members as needed. * Collaborate with owners, estimators ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

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All JobsAi Training JobsAi Training Jobs in Spring Lake, MI

Ai Training information

See Spring Lake, MI salary details

$29.1K

$62.4K

$101.8K

How much do ai training jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai training in Spring Lake, MI is $62,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $76,800.00 per year, depending on experience, location, and employer.

What is an AI training?

An AI Training job involves preparing and refining data to help improve artificial intelligence models. This can include labeling data, reviewing AI-generated outputs, and providing feedback to enhance accuracy. AI Trainers work with machine learning teams to fine-tune models for tasks like chatbots, image recognition, or language processing. Strong attention to detail and an understanding of AI behavior are key skills for this role.

Do AI trainers get paid?

AI trainers are typically paid professionals who develop and refine machine learning models, often earning salaries that vary based on experience, location, and employer. Compensation can range from entry-level wages to six-figure salaries for experienced specialists, and many AI trainers work in environments that require knowledge of programming, data annotation, and machine learning tools.

What does an AI training specialist do?

AI Training specialists are primarily responsible for curating, labeling, and managing large datasets that are used to train machine learning models. They often collaborate closely with data scientists and engineers to ensure data quality, clarity of labeling guidelines, and that project requirements are met. Daily tasks can include annotating images or text, performing data validation, refining annotation protocols, and reviewing outputs generated by AI models. This role frequently involves teamwork as well as independent problem-solving, offering opportunities to learn about AI development workflows and expand technical knowledge.

How to get into AI training jobs?

To pursue AI training jobs, candidates typically need a background in computer science, data science, or related fields, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Gaining experience through online courses, certifications, or internships can improve prospects, and strong programming skills in Python are often essential. Familiarity with data labeling, model evaluation, and AI development environments is also beneficial.

What are the key skills and qualifications needed to thrive in the AI training position?

To thrive in AI Training, you need a solid understanding of machine learning concepts, data annotation, and statistical analysis, often supported by a background in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, labeling software, and experience with data management systems is highly valued. Strong attention to detail, effective communication, and critical thinking are important soft skills for this role. These skills ensure the accurate preparation and handling of training data, which directly impacts the quality and success of AI models.

How can I work as an AI trainer?

To work as an AI trainer, you typically need a background in computer science, data analysis, or machine learning, along with strong communication skills. The role involves labeling data, refining algorithms, and providing feedback to improve AI models, often using tools like Python or specialized annotation platforms. Relevant certifications or experience with neural networks and natural language processing can enhance your qualifications.

Are there any legit AI training jobs?

Yes, legitimate AI training jobs involve annotating data, labeling images or text, and helping improve machine learning models. These roles often require attention to detail, familiarity with AI tools, and sometimes specific certifications or training. Many companies offer remote or flexible positions for AI trainers, but job seekers should verify the company's credibility before applying.

What cities near Spring Lake, MI are hiring for Ai Training jobs?

Cities near Spring Lake, MI with the most Ai Training job openings:

Ai Training jobs near you
Infographic showing various Ai Training job openings in Spring Lake, MI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $62,419 per year, or $30 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Allendale, MI • On-site

Other

Re-posted 25 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply