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Remote Ai Engineer Salary In Jobs in Alabama (NOW HIRING)

Cloudera

$150K - $185K/yr

In this role, you will partner closely with Account Executives, prospects, and customers to run ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Deciphex Limited

$36 - $47/hr

Must reside in Alabama Job Type: Flexible (Part-Time or Full-Time) Specialty: General Pathology ... We are software developers, clinical specialists, AI engineers, operations professionals and so ...

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Remote Ai Engineer Salary In information

What is the difference between Remote Ai Engineer Salary In vs Data Scientist?

RoleAverage Salary RangeRequired CredentialsWork Environment
Remote Ai Engineer$80,000 - $140,000Bachelor's or higher in CS, AI, or related fields; experience with ML frameworksRemote, tech companies, startups
Data Scientist$75,000 - $135,000Bachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis toolsRemote, finance, tech, healthcare industries

Both roles require strong technical credentials and often similar work environments, but salaries for Remote Ai Engineers tend to be slightly higher due to specialized AI development skills. Understanding these differences can help job seekers target the right roles and salary expectations.

Can you work remotely as a remote AI engineer?

Yes, many AI engineering roles are available as remote positions, especially those focused on software development, data analysis, and machine learning model deployment. Remote AI engineers typically need strong programming skills in languages like Python, experience with cloud platforms, and effective communication tools to collaborate with teams. Availability of remote work depends on the employer and specific job requirements.

How much do remote AI engineers make?

Remote AI engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch may command higher salaries. Compensation can also include benefits such as bonuses, stock options, and flexible schedules.

Is a remote AI engineer a high paying job?

Remote AI engineers typically earn high salaries due to the specialized skills required in machine learning, deep learning, and programming with tools like Python and TensorFlow. Compensation varies based on experience, location, and company, but generally, AI engineering is considered a well-paying role in the tech industry.

What are the most commonly searched types of Ai Engineer Salary In jobs in Alabama?

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For Remote Ai Engineer Salary In jobs in Alabama, the most frequently searched job titles are:

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Remote Ai Engineer Salary In jobs near you

Bioinformatics Software Engineer

Birmingham, AL • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$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.

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