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Visual Design For Ai Training Jobs in Michigan (NOW HIRING)

General Motors

Branded UI Visual Designer

Warren, MI · On-site

The Role The GM Human Interface Design - Vehicle Studio is looking for a Designer who is passionate ... Create high-quality visual design concepts, mood boards, UI assets, and production-ready graphics ...

General Motors

Branded UI Visual Designer

Warren, MI · On-site +1

The Role The GM Human Interface Design - Vehicle Studio is looking for a Designer who is passionate ... Create high-quality visual design concepts, mood boards, UI assets, and production-ready graphics ...

General Motors

Branded UI Visual Designer

Warren, MI · On-site

The Role The GM Human Interface Design - Vehicle Studio is looking for a Designer who is passionate ... Create high-quality visual design concepts, mood boards, UI assets, and production-ready graphics ...

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All JobsVisual Design For Ai Training JobsVisual Design For Ai Training Jobs in Michigan

Visual Design For Ai Training information

What is the difference between Visual Design For Ai Training vs Graphic Designer?

AspectVisual Design For Ai TrainingGraphic Designer
Required CredentialsDesign skills, basic understanding of AI, data annotation experienceDesign degree or equivalent, proficiency in design software
Work EnvironmentTech companies, AI startups, data annotation platformsAdvertising agencies, print and digital media firms
Employer & Industry UsagePrimarily in AI and tech industriesMarketing, advertising, publishing

Visual Design For Ai Training focuses on creating visual assets and annotations to train AI models, requiring knowledge of AI data needs. Graphic Designers develop visual content for branding, marketing, and media, emphasizing aesthetics and communication. While both roles involve visual skills, their applications and industry focus differ significantly.

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AI Training Specialist - Cheminformatics

micro1 AI

Lansing, MI • Remote

$80 - $110/hr

Part-time

Posted 14 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