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Remote Ai Computer Science Jobs in Raleigh, NC (NOW HIRING)

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Thermo Fisher Scientific

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

... Scientific, Unity Lab Services, Patheon and PPD. This is a remote role open in the US only. What ... master's degree in computer science, Engineering, Data Science, or equivalent experience. Our ...

micro1 AI

AI Training Specialist - Physics

Cary, NC · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

micro1 AI

AI Training Specialist - Physics

Raleigh, NC · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

micro1 AI

AI Training Specialist - Physics

Durham, NC · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

micro1 AI

AI Trainer - Microbiology Expert

Cary, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems.

micro1 AI

AI Trainer - Microbiology Expert

Raleigh, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems.

micro1 AI

AI Trainer - Microbiology Expert

Durham, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems.

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Remote Ai Computer Science information

See Raleigh, NC salary details

$81.2K

$99.6K

$131.7K

How much do remote ai computer science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote ai computer science in Raleigh, NC is $99,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $111,800.00 per year, depending on experience, location, and employer.

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

What are the key skills and qualifications needed to thrive as a remote AI computer scientist?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI computer science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.

What are the most commonly searched types of Ai Computer Science jobs in Raleigh, NC?

The most popular types of Ai Computer Science jobs in Raleigh, NC are:

What are popular job titles related to Remote Ai Computer Science jobs in Raleigh, NC?

For Remote Ai Computer Science jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Ai Computer Science jobs in Raleigh, NC look for?

The top searched job categories for Remote Ai Computer Science jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Ai Computer Science jobs?

Cities near Raleigh, NC with the most Remote Ai Computer Science job openings:

Remote Ai Computer Science jobs near you
Infographic showing various Remote Ai Computer Science job openings in Raleigh, NC as of August 2026, with employment types broken down into 5% Internship, 71% Full Time, 18% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $99,638 per year, or $47.9 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Durham, NC • Remote

$80 - $110/hr

Part-time

Posted 18 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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