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Entry Level Remote Ai Training Jobs in Michigan (NOW HIRING)

micro1 AI

AI Training Specialist - Chemistry

Dearborn, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

micro1 AI

AI Training Specialist - Chemistry

Detroit, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

micro1 AI

AI Training Specialist - Chemistry

Lansing, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

micro1 AI

AI Training Specialist - Chemistry

Warren, MI · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

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Entry Level Remote Ai Training information

What are some common challenges faced by entry level remote AI training professionals and how can they be addressed?

Entry-level remote AI training professionals often encounter challenges such as understanding complex annotation guidelines, maintaining accuracy over repetitive tasks, and communicating effectively with remote teams. To overcome these, it's helpful to regularly review project documentation, participate in team check-ins for clarification, and use productivity tools to stay organized. Building a habit of double-checking work and seeking feedback from supervisors can also ensure high-quality results and facilitate professional growth.

What are entry level remote jobs working with AI?

Entry level remote AI training jobs typically involve labeling data, annotating images or text, and assisting in developing machine learning models. These roles often require basic understanding of AI concepts, attention to detail, and familiarity with tools like data annotation platforms or spreadsheets. They provide a starting point for those interested in AI development and may lead to more advanced positions with experience.

Can I be an entry level remote AI trainer with no experience?

Entry level remote AI trainer roles often do not require prior experience, but having basic knowledge of machine learning concepts, data annotation tools, and strong communication skills can be beneficial. Many employers provide training or onboarding to help new hires develop necessary skills for the role.

What are the key skills and qualifications needed to thrive as an entry level remote AI training specialist?

To excel as an Entry Level Remote AI Training Specialist, you generally need strong analytical thinking, attention to detail, and basic familiarity with computers, often supported by a high school diploma or equivalent. Comfort with online collaboration tools, data annotation platforms, and sometimes familiarity with spreadsheet or task management systems is important. Excellent written communication, time management, and the ability to follow detailed instructions are standout soft skills in this role. These skills are crucial for ensuring accurate data labeling, meeting project deadlines, and supporting the effective development of AI technologies.

What is an entry level remote AI training?

An entry level remote AI training job involves helping to teach artificial intelligence systems by labeling data, reviewing outputs, and providing feedback. These roles typically require minimal prior experience and can be performed from home, making them accessible to a wide range of candidates. Tasks may include categorizing images, annotating text, or validating responses generated by AI models. The work helps improve the accuracy and reliability of AI technologies used in various industries.

What is the difference between Entry Level Remote Ai Training vs Data Annotator?

AspectEntry Level Remote Ai TrainingData Annotator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Employer & Industry UsageTech companies, AI startupsTech companies, AI industry
Common Search & Comparison IntentUnderstanding entry-level AI rolesClarifying data annotation jobs

Entry Level Remote Ai Training involves preparing AI models through tasks like data labeling and model testing, often requiring some technical understanding. Data Annotator focuses specifically on labeling data to train AI systems. While both roles are remote and entry-level, Ai Training may include broader tasks like model evaluation, whereas Data Annotator emphasizes data labeling. Both are essential in AI development and share similar skills, but Ai Training roles often involve more technical tasks and training processes.

What are the most commonly searched types of Remote Ai Training jobs in Michigan?

The most popular types of Remote Ai Training jobs in Michigan are:

What are popular job titles related to Entry Level Remote Ai Training jobs in Michigan?

For Entry Level Remote Ai Training jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Ai Training jobs in Michigan look for?

The top searched job categories for Entry Level Remote Ai Training jobs in Michigan are:

What cities in Michigan are hiring for Entry Level Remote Ai Training jobs?

Cities in Michigan with the most Entry Level Remote Ai Training job openings:

Entry Level Remote Ai Training jobs near you
Infographic showing various Entry Level Remote Ai Training job openings in Michigan as of August 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 100% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Ann Arbor, MI • Remote

$80 - $110/hr

Part-time

Posted 11 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Apply