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

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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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Infographic showing various Visual Design For Ai Training job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Virginia Beach, VA • Remote

$90 - $120/hr

Part-time

Posted 21 days ago

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.

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