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Training Ai Models Jobs in Rhode Island (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Providence, RI · Remote

$70 - $90/hr

... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...

micro1 AI

AI Training Specialist - Physics

Providence, RI · On-site +1

$80 - $150/hr

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

ClifyX

Data Strategy Lead

Johnston, RI · On-site

... training chatbots and other AI models, ensuring model accuracy, fairness, and scalability. • Establish and enforce data governance, quality, and compliance standards to maintain data integrity and ...

Cisco

Applied AI Scientist

Providence, RI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... LargeScale Training & Optimization - Experience optimizing model architectures, distributed ...

Citizens

Distinguished Engineer - AI Security

Johnston, RI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Secure the full AI and machine learning lifecycle, including data ingestion, model development, training, deployment, monitoring, and runtime operations. * Design safeguards against emerging AI ...

Citizens

Distinguished Engineer - AI Security

Johnston, RI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Secure the full AI and machine learning lifecycle, including data ingestion, model development, training, deployment, monitoring, and runtime operations. * Design safeguards against emerging AI ...

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All JobsTraining Ai Models JobsTraining Ai Models Jobs in Rhode Island

Training Ai Models information

What is a training AI model?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

What are common challenges faced when training AI models, and how are they addressed?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

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

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

Can you get paid to train AI models?

Training AI models is a job that can be paid, especially for roles such as AI trainers, data annotators, or machine learning engineers. Compensation varies based on experience, location, and the complexity of the tasks, and often involves working with labeled datasets, coding, and understanding AI frameworks.

How to become a training AI models?

To become a training AI models professional, develop strong skills in programming languages like Python, understand machine learning algorithms, and gain experience with data preprocessing and model evaluation. Familiarity with frameworks such as TensorFlow or PyTorch and a background in computer science or data science are also important. Certifications or courses in AI and machine learning can enhance your qualifications.

What job trains AI models?

A job that trains AI models is typically called an AI/ML engineer or data scientist. These roles involve developing, testing, and refining machine learning algorithms using programming skills in languages like Python and tools such as TensorFlow or PyTorch. They often require knowledge of data preprocessing, model evaluation, and experience with large datasets.

What are popular job titles related to Training Ai Models jobs in Rhode Island?

For Training Ai Models jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Training Ai Models jobs in Rhode Island look for?

The top searched job categories for Training Ai Models jobs in Rhode Island are:

What cities in Rhode Island are hiring for Training Ai Models jobs?

Cities in Rhode Island with the most Training Ai Models job openings:

Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in Rhode Island as of August 2026, with employment types broken down into 60% Full Time, 13% Part Time, and 27% Contract. Highlights an 55% In-person, and 45% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Providence, RI • Remote

$90 - $120/hr

Part-time

Posted 23 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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