ZipRecruiter

Log In

2

Remote Ai Model Training Jobs in Ohio (NOW HIRING)

micro1 AI

AI Training Specialist - Chemistry

Dayton, OH · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

AI Training Specialist - Chemistry

Akron, OH · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

AI Training Specialist - Chemistry

Columbus, OH · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

AI Training Specialist - Chemistry

Toledo, OH · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

CareSource

AI Developer (HealthCare Experience)

Dayton, OH · On-site +1

$94K - $164K/yr

The AI Developer plays a key role in designing, developing, and deploying intelligent solutions ... Implement and manage MLOps pipelines to automate model training, deployment, monitoring, and ...

previous pagenext page

Showing results 21-40

All JobsAi Model Training JobsRemote Ai Model Training JobsRemote Ai Model Training Jobs in Ohio

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 Ohio?

The most popular types of Ai Model Training jobs in Ohio are:

What are popular job titles related to Remote Ai Model Training jobs in Ohio?

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

What job categories do people searching Remote Ai Model Training jobs in Ohio look for?

The top searched job categories for Remote Ai Model Training jobs in Ohio are:

What cities in Ohio are hiring for Remote Ai Model Training jobs?

Cities in Ohio with the most Remote Ai Model Training job openings:

Remote Ai Model Training jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Cleveland, OH • Remote

$80 - $110/hr

Part-time

Posted 16 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