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Remote Training Ai Models Jobs in Wisconsin (NOW HIRING)

micro1 AI

AI Training Specialist - Chemistry

Kenosha, WI · 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

Madison, WI · 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 - Physics

Madison, WI · 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

Milwaukee, WI · 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

Green Bay, WI · 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

Kenosha, WI · 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.

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Remote Training Ai Models information

What does it mean to work in remote training of AI models?

Working in remote training of AI models involves creating, refining, and improving artificial intelligence systems from a remote location. This typically includes tasks like labeling data, reviewing machine learning outputs, or providing feedback on model accuracy. Remote AI trainers often use specialized tools or platforms to help teach models how to interpret data, such as images, text, or audio. The work can be done from anywhere with an internet connection, making it flexible for many people. These roles are essential for ensuring AI systems learn correctly and perform well in real-world scenarios.

What are the key skills and qualifications needed to thrive as a remote AI model trainer?

To thrive as a Remote AI Model Trainer, you need strong analytical skills, attention to detail, and familiarity with data annotation or labeling, often supported by a background in computer science or a related field. Experience with data management tools, annotation platforms, and sometimes basic programming (such as Python) is typically required. Clear communication, reliability, and the ability to work independently are standout soft skills in this remote role. These abilities ensure high-quality data preparation, which is critical for developing accurate and effective AI models.

What are some common challenges faced when working remotely to train AI models, and how can they be overcome?

One of the main challenges in remote AI model training roles is maintaining clear communication with teams across different time zones and ensuring alignment on project goals. Additionally, remote data security and managing large datasets can be complex without in-person collaboration. To overcome these challenges, it's helpful to establish regular video check-ins, use project management tools, and follow secure data-sharing protocols. Cultivating proactive communication and staying organized can help remote AI trainers stay productive and connected with their teams.

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

AspectRemote Training Ai ModelsData Scientist
Required CredentialsKnowledge of AI/ML frameworks, programming skills, understanding of data preprocessingStatistics, programming, data analysis, often a degree in related fields
Work EnvironmentRemote, collaborative with AI/ML teams, cloud platformsRemote or on-site, research-focused, cross-industry
Industry UsageAI development, machine learning model training, deploymentData analysis, predictive modeling, business insights

Remote Training Ai Models primarily focus on developing and training machine learning models remotely, often requiring programming and AI-specific skills. Data Scientists analyze data to generate insights and build models, with a broader focus on data analysis. While both roles may work remotely and require technical expertise, Remote Training Ai Models are specialized in AI model training, whereas Data Scientists have a wider scope in data analysis and interpretation.

What are the most commonly searched types of Training Ai Models jobs in Wisconsin?

The most popular types of Training Ai Models jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Training Ai Models jobs?

Cities in Wisconsin with the most Remote Training Ai Models job openings:

Remote Training Ai Models jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Green Bay, WI • Remote

$80 - $110/hr

Part-time

Posted 19 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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