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Remote Ai Computer Science Jobs in Slocomb, AL (NOW HIRING)

Senior iOS Developer

Fort Novosel, AL · Remote

$61.50 - $79.50/hr

Remote * Clearance: Public Trust or Higher Required Education Requirements: * Bachelor's degree in computer science, Engineering, or related field. Required Qualifications: * 5+ years of experience ...

Remote Ai Computer Science information

See Slocomb, AL salary details

$75K

$92.1K

$121.7K

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

As of Jul 26, 2026, the average yearly pay for remote ai computer science in Slocomb, AL is $92,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $103,300.00 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, and why are they important?

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 cities near Slocomb, AL are hiring for Remote Ai Computer Science jobs? Cities near Slocomb, AL with the most Remote Ai Computer Science job openings:
Senior Data Scientist

Senior Data Scientist

IQUASAR LLC

Fort Novosel, AL • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago


Job description

iQuasar is seeking to fill in a Data Scientist in Reston, VA. At iQuasar we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits including Health, Vision, and Dental Insurance, matching 401k plan, and other benefits given below, excellent training, and a vibrant working environment. Our employees are exceptional, giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity.
One of our clients in Reston, VA needs a Data Scientist for a permanent position.
  • Position: Data Scientist
  • Clearance: Secret Clearance
  • Location: Reston, VA
  • Position Type: Full Time
Task Description:

This is a full-time 90% remote position, 10% to Brite's office in Reston VA.
Key Responsibilities:

  • Lead development of predictive models using deep learning and classical machine learning algorithms.
  • Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).
  • Design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.
  • Work with vector databases and graph databases for knowledge representation and retrieval.
  • Generate and use simulated data to support training and testing of ML models.
  • Perform data standardization, aggregation, and integration from structured and unstructured sources.
  • Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
  • Document workflows, produce technical reports, and contribute to academic or industry publications.
  • Use version control tools to manage collaborative model development (e.g., GitHub).
  • Support end-to-end ML lifecycle from data wrangling and modeling to deployment and monitoring.

Required Qualifications:

  • Minimum 8 years of hands-on experience in AI/ML software development using Python and R.
  • Strong background in deep learning, transformer-based NLP, and classical ML.
  • Experience with RAG, LLMs, and embedding-based retrieval systems.
  • Expertise in data wrangling, Web scrapping, data standardization, and feature engineering.
  • Proven experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) or graph databases (e.g., Neo4j).
  • Strong understanding of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with version control systems (e.g., Git, GitHub).
  • Experience with cloud computing platforms (AWS, GCP, or Azure).
  • Demonstrated ability to produce high-quality technical documentation and research publications.
  • Master’s degree or Ph.D. in Statistics, Computer Science, or a related quantitative discipline.

Preferred Qualifications:

  •  Hands-on experience with SAS, SQL, Amazon RDS, and JIRA.
  •  Knowledge of ML Ops practices and model deployment pipelines.
  •  Prior experience in contributing to academic or technical publications.
  •  Exposure to federal or enterprise-scale projects is a plus.

If you are interested in this position, please send me a copy of your latest resume. Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position, or this is not the right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you! 
  • Availability to start a new job
  • Best Rates
  • Contact

Nia
Recruitment Professional
Representing: Brite Group INC
Direct: (703) 463-9141
Main: (703) 962-6001 Ext.: 621
nia.manzoor@iquasar.com
An Equal Opportunity Employer
 "iQuasar is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non-merit factors, or any other applicable characteristics protected by law"

This is a remote position.