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Graphic Artist analog - AI Trainer
Micro1
HybridHybrid
Original Job Summary
About the Role
Join micro1 as a Graphic Artist analog - AI Trainer where your expertise in art history and analog creative skills will shape the next generation of AI-driven art tools. You will collaborate with a diverse team to bridge traditional artistry with modern technology.
Key Responsibilities
- Train and guide AI models with analog visual art expertise.
- Analyze and annotate visual datasets with an artist’s eye for detail.
- Collaborate with AI engineers to refine algorithmic understanding of artistic techniques.
- Offer critical feedback to ensure artistic accuracy in AI outputs.
- Contribute to conceptual discussions and support creative breakthroughs.
- Document workflows and provide clear reports on training progress.
- Communicate ideas effectively to technical and non-technical stakeholders.
Required Skills and Qualifications
- Bachelor’s degree in visual arts or equivalent experience.
- Strong visual literacy and creative innovation skills.
- Solid understanding of art history, styles, and traditional techniques.
- Background in analog mediums such as painting, drawing, or sculpture.
- Passion for merging art with advanced technology.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Graduation from an accredited institution in the US or Europe.
- Experience with visual datasets or AI-driven creative projects.
- A portfolio showcasing diverse artistic styles and mediums.
Key skills/competency
- Analog Art
- AI Training
- Visual Literacy
- Art History
- Creative Innovation
- Dataset Annotation
- Collaboration
- Communication
- Conceptualization
- Reporting
How to Get Hired at Micro1
🎯 Tips for Getting Hired
- Customize your resume: Highlight art and AI training experience.
- Research micro1's culture: Understand their mission and tech focus.
- Emphasize portfolio: Showcase diverse analog artworks.
- Prepare examples: Relate past projects to AI model training.
📝 Interview Preparation Advice
Technical Preparation
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Review AI model training basics.
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Study analog art techniques.
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Practice visual dataset annotation.
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Familiarize with digital tools.
Behavioral Questions
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Describe teamwork experiences.
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Explain conflict resolution in creative settings.
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Share challenges with innovation.
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Discuss adaptability in fast-paced projects.