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Remote Ai Project Management Jobs in Stuart, FL (NOW HIRING)

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Remote Ai Project Management information

See Stuart, FL salary details

$41.5K

$94.6K

$167.7K

How much do remote ai project management jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote ai project management in Stuart, FL is $94,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $110,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Project Management vs Remote Data Scientist?

AspectRemote Ai Project ManagementRemote Data Scientist
Required CredentialsProject management certifications, AI knowledgeStatistics, programming, data analysis skills
Work EnvironmentCollaborative, cross-functional teams, client communicationData analysis, model development, research
Employer & Industry UsageTech companies, AI startups, consulting firmsTech firms, research institutions, healthcare, finance
Common Search & ComparisonYesYes

Remote Ai Project Managers focus on overseeing AI projects, coordinating teams, and ensuring timely delivery, often requiring project management certifications. Remote Data Scientists analyze data, develop models, and derive insights, requiring strong statistical and programming skills. While both roles operate remotely in tech-driven industries, their core responsibilities and skill sets differ significantly.

What job categories do people searching Remote Ai Project Management jobs in Stuart, FL look for?

The top searched job categories for Remote Ai Project Management jobs in Stuart, FL are:

What cities near Stuart, FL are hiring for Remote Ai Project Management jobs?

Cities near Stuart, FL with the most Remote Ai Project Management job openings:

Remote Ai Project Management jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Port Saint Lucie, FL • Remote

$80 - $110/hr

Part-time

Posted 27 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