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Entry Level Remote Community Manager Jobs in Flint, MI

Sodexo

Acute Care Dietitian

Lapeer, MI · Remote

$64K - $83K/yr

Up to 50% remote! Health benefits and paid time off, reimbursement for professional fees, and ... Deliver nutrition care for patients, residents, and communities as part of a contractual agreement ...

Sodexo

Acute Care Dietitian

Lapeer, MI · Remote

$64K - $83K/yr

Up to 50% remote! Health benefits and paid time off, reimbursement for professional fees, and ... Deliver nutrition care for patients, residents, and communities as part of a contractual agreement ...

Sodexo

Acute Care Dietitian

Lapeer, MI · Remote

$64K - $83K/yr

Up to 50% remote! Health benefits and paid time off, reimbursement for professional fees, and ... Deliver nutrition care for patients, residents, and communities as part of a contractual agreement ...

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All JobsCommunity JobsEntry Level Remote Community Manager JobsEntry Level Remote Community Manager Jobs in Flint, MI

Entry Level Remote Community Manager information

See Flint, MI salary details

$30.2K

$57.3K

$90K

How much do entry level remote community manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level remote community manager in Flint, MI is $57,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $65,200.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Remote Community Manager vs Social Media Coordinator?

AspectEntry Level Remote Community ManagerSocial Media Coordinator
CredentialsBasic understanding of community engagement, communication skillsSocial media platform knowledge, content creation skills
Work EnvironmentRemote, community-focused roles, online platformsRemote or in-office, social media management
Employer & Industry UsageNonprofits, brands, online communitiesMarketing agencies, brands, media companies
Search & Comparison IntentUnderstanding entry-level community rolesSocial media content and platform management

Entry Level Remote Community Managers focus on fostering engagement and managing online communities, often across various platforms. Social Media Coordinators primarily handle content creation and platform-specific strategies. While both roles are remote and involve online communication, community managers emphasize relationship-building, whereas social media coordinators focus on content and analytics.

What are the most commonly searched types of Remote Community Manager jobs in Flint, MI?

The most popular types of Remote Community Manager jobs in Flint, MI are:

What are popular job titles related to Entry Level Remote Community Manager jobs in Flint, MI?

For Entry Level Remote Community Manager jobs in Flint, MI, the most frequently searched job titles are:

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The top searched job categories for Entry Level Remote Community Manager jobs in Flint, MI are:

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Cities near Flint, MI with the most Entry Level Remote Community Manager job openings:

Entry Level Remote Community Manager jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Flint, 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