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Remote Advanced Ai Data Trainer Jobs in Michigan

micro1 AI

Medical Billing Specialist

Ann Arbor, MI · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your ...

micro1 AI

Medical Writing Manager

Detroit, MI · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your ...

micro1 AI

Medical Billing Specialist

Warren, MI · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your ...

micro1 AI

Medical Writing Manager

Warren, MI · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your ...

micro1 AI

Medical Billing Specialist

Grand Rapids, MI · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your ...

micro1 AI

Medical Writing Manager

Sterling Heights, MI · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your ...

micro1 AI

Medical Billing Specialist

Lansing, MI · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your ...

micro1 AI

Medical Writing Manager

Dearborn, MI · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... advanced AI-assisted writing tools for clinical documentation. In this role, you'll apply your ...

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 ... Document laboratory methodologies, data, and findings clearly and accurately, ensuring ...

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Remote Advanced Ai Data Trainer information

What is a remote advanced AI data trainer?

A Remote Advanced AI Data Trainer is a professional who works remotely to create, label, and refine data used to train artificial intelligence (AI) models. They ensure the data is accurate and relevant, often working with complex datasets and advanced AI algorithms. Their tasks may include annotating text, images, or audio, as well as providing feedback to improve AI performance. This role requires strong attention to detail, familiarity with AI concepts, and the ability to work independently from any location.

What are the key skills and qualifications needed to thrive as a remote advanced AI data trainer?

To thrive as a Remote Advanced AI Data Trainer, you need strong analytical skills, a solid understanding of machine learning concepts, and a relevant degree or experience in data science or computer science. Familiarity with data annotation tools, AI training platforms, and programming languages like Python is often required. Excellent attention to detail, communication, and problem-solving abilities help set top performers apart in this role. These skills ensure high-quality data labeling and training, directly impacting the accuracy and effectiveness of AI systems.

What are some common challenges faced by remote advanced AI data trainers, and how can they be addressed?

Remote Advanced AI Data Trainers often encounter challenges such as maintaining clear communication with global teams, managing complex annotation guidelines, and ensuring data quality while working independently. To address these, it’s important to establish regular check-ins, use collaborative tools for feedback, and stay updated on best practices for data labeling. Proactively asking questions and participating in team discussions can also help ensure consistency and clarity in your work.

What is the difference between Remote Advanced Ai Data Trainer vs Remote AI Data Annotator?

AspectRemote Advanced Ai Data TrainerRemote AI Data Annotator
CredentialsTypically requires experience in AI, machine learning, or data science; certifications in data labeling or AI tools are commonOften requires basic data labeling skills; certifications are less common
Work EnvironmentRemote, collaborative with AI teams, involves training models and refining data setsRemote, focused on labeling and annotating data sets, often solo tasks
Industry UsageUsed in AI development, machine learning projects, and data science teamsUsed across industries for preparing training data for AI models

The Remote Advanced Ai Data Trainer and Remote AI Data Annotator roles both involve working with data for AI projects. However, the trainer typically requires more specialized knowledge, including AI concepts and model training experience, whereas the annotator focuses on labeling data. The trainer's role is more collaborative and involves refining AI models, while the annotator primarily performs data preparation tasks.

What are the most commonly searched types of Advanced Ai Data Trainer jobs in Michigan?

The most popular types of Advanced Ai Data Trainer jobs in Michigan are:

What are popular job titles related to Remote Advanced Ai Data Trainer jobs in Michigan?

For Remote Advanced Ai Data Trainer jobs in Michigan, the most frequently searched job titles are:

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Remote Advanced Ai Data Trainer jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Lansing, MI • Remote

$80 - $110/hr

Part-time

Posted 19 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.

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