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Remote Ai Model Training Jobs in Kentucky (NOW HIRING)

micro1 AI

Medical Billing Specialist

Louisville, KY · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... AI systems. Your work will shape how models learn, reason, and perform through high-quality, real ...

micro1 AI

AI Training Specialist - Physics

Lexington, KY · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

AI Training Specialist - Physics

Louisville, KY · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Toloka

Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work ... Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia ...

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Remote Ai Model Training information

What is remote AI model training?

Remote AI model training refers to the process of developing and refining artificial intelligence models from a location outside of a traditional office or lab setting, typically via cloud-based platforms. AI professionals use remote access to powerful computing resources to train machine learning models on large datasets, collaborating with teams and managing workflows online. This approach allows flexibility, access to scalable resources, and the ability to work with global teams, making it increasingly popular in the tech industry.

What skills and qualifications are needed for remote AI model training?

To thrive in Remote AI Model Training, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and data labeling tools is typically required. Strong attention to detail, self-motivation, and effective communication are vital soft skills for working independently and collaborating virtually. These competencies ensure accurate model development, efficient workflow, and successful teamwork in a remote environment.

What are common challenges in remote AI model training and how can they be addressed?

Professionals in remote AI model training often face challenges such as coordinating across time zones, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it's important to establish clear communication channels, leverage secure data-sharing platforms, and participate in regular virtual meetings. Additionally, setting structured working hours and documenting processes can help ensure smooth collaboration and project progress, even when team members are distributed globally.

What is the difference between Remote Ai Model Training vs Remote Data Scientist?

AspectRemote Ai Model TrainingRemote Data Scientist
Required CredentialsDegree in Computer Science, AI, or related field; experience with machine learning frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentFocus on developing and training AI models, often with coding and data preprocessingData analysis, modeling, and interpretation, often involving visualization and reporting
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

Remote Ai Model Training involves developing and refining AI models through coding and data processing, while Remote Data Scientists analyze data to generate insights and support decision-making. Both roles require strong technical skills but differ in focus and daily tasks.

What are the most commonly searched types of Ai Model Training jobs in Kentucky?

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For Remote Ai Model Training jobs in Kentucky, the most frequently searched job titles are:

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Remote Ai Model Training jobs near you

Computational Biologist - AI Reviewer

micro1 AI

Louisville, KY • On-site, Remote

$90 - $120/hr

Part-time

Posted 20 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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