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Remote Ai Computer Science Jobs in Rock Hill, SC

Munich Re

Data Scientist

Charlotte, NC · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Varsity Tutors

Computer Programming Tutor

Charlotte, NC · Remote

$18 - $40/hr

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Varsity Tutors

Computer Programming Tutor

Matthews, NC · Remote

$18 - $40/hr

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Brightspeed

Senior Data Scientist

Charlotte, NC · On-site +1

... Computer Science, Operations Research, Statistics, Mathematics or related field. Master's degree ... Data Science or AI certifications Analytical / Technical Skills Deep expertise in machine learning ...

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See Rock Hill, SC salary details

$69.3K

$85.1K

$112.5K

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

As of Sep 7, 2026, the average yearly pay for remote ai computer science in Rock Hill, SC is $85,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $95,500.00 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.

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Remote Ai Computer Science jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Charlotte, NC • Remote

$70 - $90/hr

Part-time

Re-posted 11 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: 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. 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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