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Ai Training For Design Jobs in Decatur, GA (NOW HIRING)

Agap Technologies

Generative AI Training

Atlanta, GA · On-site

Our Training Features: • You will receive top quality instruction that is famous for Online ... AI training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM ...

micro1 AI

AI Training Specialist - Physics

South Fulton, GA · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for ...

micro1 AI

AI Training Specialist - Physics

Atlanta, GA · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for ...

micro1 AI

Tax (SALT) AI Training Specialist

Atlanta, GA · Remote

$20 - $30/hr

Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ... AI or technology-driven tax content. * Background in training teams or giving written feedback on ...

micro1 AI

AI Training Expert - US Tax Law

Atlanta, GA · Remote

$65 - $70/hr

Write clear, self-contained test scenarios (including edge cases) for failed criteria, with ... AI or technology-driven tax content. * Background in training teams or giving written feedback on ...

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Ai Training For Design information

See Decatur, GA salary details

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How much do ai training for design jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for ai training for design in Decatur, GA is $35.24, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $37.79 per hour, depending on experience, location, and employer.

What is AI training for design?

AI training for design refers to the process of teaching artificial intelligence systems to understand, generate, or assist in design-related tasks. This can include training models to recognize patterns in visual design, automate repetitive creative processes, or generate design suggestions based on user input. Professionals in this field often work with data sets of images, layouts, and other design elements to help AI tools learn and improve. The goal is to enhance creativity, efficiency, and accuracy in design workflows using AI technologies.

What are the key skills and qualifications needed to thrive in AI training for design, and why are they important?

To thrive in AI Training for Design, a strong background in design principles, UX/UI, and familiarity with artificial intelligence concepts is essential, often supported by a degree in design, computer science, or a related field. Proficiency with design tools like Adobe Creative Suite, Figma, as well as AI frameworks such as TensorFlow or PyTorch, and experience with data annotation platforms are highly valuable. Creativity, strong problem-solving abilities, and effective communication make professionals stand out in this interdisciplinary role. These skills ensure successful collaboration between design and AI teams, resulting in user-centered and innovative AI-driven products.

What are some common challenges faced by professionals in AI training for design, and how can they be addressed?

A common challenge in AI training for design is ensuring the AI model understands and accurately interprets the nuances of visual creativity and user intent. This often requires curating high-quality, diverse datasets and collaborating closely with designers to fine-tune training objectives. Additionally, staying updated with rapidly evolving AI tools and best practices can be demanding, so continuous learning and teamwork are essential. Regular communication with design and engineering teams helps bridge gaps between creative vision and technical implementation.

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

AspectAi Training For DesignAi Training For Graphic Design
CredentialsTypically requires courses in AI, design principles, and software toolsRequires similar credentials, often focusing on graphic software and design fundamentals
Work EnvironmentDesign studios, tech companies, freelance projectsAdvertising agencies, print shops, digital media firms
Industry UsageUsed across various design disciplines integrating AI toolsPrimarily in visual and print media with AI-assisted graphic creation

Ai Training For Design and Ai Training For Graphic Design share overlapping skills in AI tools and design fundamentals. However, Ai Training For Design covers a broader range of design disciplines, while Ai Training For Graphic Design focuses specifically on visual and print media. Both roles are essential in modern creative industries, often requiring similar certifications and work environments.

What job categories do people searching Ai Training For Design jobs in Decatur, GA look for?

The top searched job categories for Ai Training For Design jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Ai Training For Design jobs?

Cities near Decatur, GA with the most Ai Training For Design job openings:

Ai Training For Design jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

South Fulton, GA • Remote

$80 - $110/hr

Part-time

Posted 23 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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