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Remote Junior Ai Developer Jobs in Michigan (NOW HIRING)

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

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Remote Junior Ai Developer information

What is the difference between Remote Junior Ai Developer vs Remote Data Analyst?

AspectRemote Junior Ai DeveloperRemote Data Analyst
Required CredentialsBasic programming skills, knowledge of AI/ML concepts, possibly a related degreeStatistical or analytical degree, proficiency in data tools and SQL
Work EnvironmentCollaborative teams, AI/ML projects, coding and model trainingData interpretation, reporting, data visualization tasks
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, and other data-driven industries
Common Search & Comparison IntentUnderstanding entry-level AI roles, career path optionsComparing data analysis roles, skill requirements

The Remote Junior Ai Developer focuses on building and training AI models, requiring programming and AI knowledge. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and visualizations. Both roles often work remotely in tech-driven industries but differ in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive as a remote junior AI developer?

To thrive as a Remote Junior AI Developer, you generally need a solid understanding of programming languages like Python, machine learning fundamentals, and a relevant degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Git, and cloud platforms, along with basic knowledge of version control and collaborative coding systems, is typically expected. Strong problem-solving abilities, effective written communication, and a proactive attitude are valuable soft skills for remote collaboration and growth. These competencies are crucial for delivering high-quality AI solutions, learning efficiently, and working successfully within distributed development teams.

What are some common challenges faced by remote junior AI developers, and how can they overcome them?

Remote junior AI developers often face challenges such as limited direct mentorship, difficulty in collaborating across time zones, and staying updated with rapidly evolving AI technologies. To overcome these, it's helpful to proactively seek regular feedback from senior developers, participate in virtual team meetings, and engage in online AI communities. Utilizing project management tools and setting clear communication routines can also foster better teamwork and continuous learning in a remote environment.

What is a remote junior AI developer?

A Remote Junior AI Developer is an entry-level professional who works from a location outside of the traditional office, focusing on developing and maintaining artificial intelligence systems and applications. Their responsibilities typically include assisting with model training, data preprocessing, and implementing basic machine learning algorithms under the guidance of senior team members. This role is ideal for those starting their career in AI and offers flexibility to work from anywhere while gaining practical experience in the field. Strong programming skills, especially in languages like Python, and a foundational understanding of AI concepts are usually required.
What cities in Michigan are hiring for Remote Junior Ai Developer jobs? Cities in Michigan with the most Remote Junior Ai Developer job openings:
Infographic showing various Remote Junior Ai Developer job openings in Michigan as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Sterling Heights, MI • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. 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

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.