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Remote Ai Engineer Salary In Jobs in Michigan (NOW HIRING)

Quora

iOS Engineer -Remote

Berrien Springs, MI · Remote

$61.63 - $88.47/hr

Interest in working in the AI space At Quora, we value diversity and inclusivity and welcome ... For US based applicants, the salary range is $128,193 - $184,009 USD + equity + benefits. * Canada ...

Quora

iOS Engineer -Remote

Grand Rapids, MI · Remote

$61.63 - $88.47/hr

Interest in working in the AI space At Quora, we value diversity and inclusivity and welcome ... For US based applicants, the salary range is $128,193 - $184,009 USD + equity + benefits. * Canada ...

Quora

iOS Engineer -Remote

Flint, MI · Remote

$61.63 - $88.47/hr

Interest in working in the AI space At Quora, we value diversity and inclusivity and welcome ... For US based applicants, the salary range is $128,193 - $184,009 USD + equity + benefits. * Canada ...

Quora

iOS Engineer -Remote

Kalamazoo, MI · Remote

$61.63 - $88.47/hr

Interest in working in the AI space At Quora, we value diversity and inclusivity and welcome ... For US based applicants, the salary range is $128,193 - $184,009 USD + equity + benefits. * Canada ...

Quora

iOS Engineer -Remote

Allendale, MI · Remote

$61.63 - $88.47/hr

Interest in working in the AI space At Quora, we value diversity and inclusivity and welcome ... For US based applicants, the salary range is $128,193 - $184,009 USD + equity + benefits. * Canada ...

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Remote Ai Engineer Salary In information

Can you work remotely as a remote AI engineer?

Yes, many AI engineering roles are available as remote positions, especially those focused on software development, data analysis, and machine learning model deployment. Remote AI engineers typically need strong programming skills in languages like Python, experience with cloud platforms, and familiarity with collaboration tools. The availability of remote work depends on the employer and specific job requirements.

What is the difference between Remote Ai Engineer Salary In vs Data Scientist?

RoleAverage Salary RangeRequired CredentialsWork Environment
Remote Ai Engineer$80,000 - $140,000Bachelor's or higher in CS, AI, or related fields; experience with ML frameworksRemote, tech companies, startups
Data Scientist$75,000 - $135,000Bachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis toolsRemote, finance, tech, healthcare industries

Both roles require strong technical credentials and often similar work environments, but salaries for Remote Ai Engineers tend to be slightly higher due to specialized AI development skills. Understanding these differences can help job seekers target the right roles and salary expectations.

How much do remote AI engineers make?

Remote AI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch may command higher salaries. Compensation can also vary based on company size and project complexity.
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Remote Ai Engineer Salary In jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Sterling Heights, MI • Remote

Full-time

Re-posted 17 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