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From Home Ai Computer Science Jobs in Missouri (NOW HIRING)

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From Home Ai Computer Science information

What is a from home AI computer science job?

A 'From Home AI Computer Science' job typically involves working remotely in the field of artificial intelligence (AI) and computer science. Responsibilities can include developing algorithms, building machine learning models, analyzing data, and creating AI-powered software or applications. These roles are highly technical and often require expertise in programming languages such as Python, as well as knowledge of AI frameworks and tools. Remote AI computer science jobs offer flexibility in work location and hours, making them attractive to those seeking work-life balance. Employers may range from tech startups to large corporations focusing on AI-driven products and services.

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

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree or equivalent experience. Proficiency in programming languages such as Python, familiarity with frameworks like TensorFlow or PyTorch, and experience using cloud platforms are commonly required. Strong problem-solving abilities, self-motivation, and effective communication skills distinguish top performers in remote environments. These skills and qualities are essential for developing innovative AI solutions, collaborating across distributed teams, and ensuring project success from a remote setting.

How does working from home as an AI computer science professional impact collaboration and project management?

Remote AI Computer Science roles typically rely on digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. While remote work offers flexibility, it also requires proactive communication and clear documentation to keep teams aligned. Regular virtual meetings, code reviews, and collaborative repositories are common practices to ensure team members stay connected and projects progress smoothly. Building strong digital communication habits is essential for success in this environment.

What is the difference between From Home Ai Computer Science vs Data Analyst?

AspectFrom Home Ai Computer ScienceData Analyst
Required CredentialsBachelor's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, consulting
Common Search/ComparisonFrom Home Ai Computer Science vs Data Analyst

From Home Ai Computer Science focuses on developing AI models, algorithms, and software solutions, often requiring programming and machine learning expertise. Data Analysts interpret data to provide insights, typically using statistical tools and visualization. While both roles involve working with data, AI Computer Science emphasizes creating intelligent systems, whereas Data Analysts focus on analyzing and reporting data to inform decisions.

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From Home Ai Computer Science jobs near you

Adjunct Instructor - Computer Science

Maryville University

Saint Louis, MO • On-site

Part-time

Re-posted 23 days ago

Job description

In keeping with our mission and vision statement, Maryville actively seeks adjunct faculty members who are experts in their fields and have a passion for teaching. Adjunct faculty are an integral part of the University's learning community.
The College of Arts and Sciences is accepting applications for an academically qualified adjunct faculty member to teach online Computer Science courses.
Essential Job Functions/Responsibilities:
  • Teach assigned course as specified in the schedule and course contract.
  • Participate in welcome orientation to become familiar with the University's mission, academic policies and procedures, expectations, and Canvas (Learning Management System).
  • Prepare essential learning objectives, lesson plans, and assignments. Develop course syllabus.
  • Clearly communicate course objectives and learning outcomes, teaching methodology, and assignments and deadlines.
  • Employ a variety of teaching styles in order to effectively deliver course content demonstrating both academic and real-world applications of concepts covered.
  • Encourage active learning through discussion topics, class assignments, group projects, etc.
  • Provide feedback and grade assignments in a timely and thorough manner (with 24-36 hrs.).
  • Establish office hours to provide additional assistance with student questions/concerns.

Minimum Qualifications:
  • Applicants must have a Master's degree in Computer Science or related field from an accredited institution

Preferred Qualifications:
  • Undergraduate/graduate teaching experience preferred
  • Online teaching experience preferred

An offer of employment is contingent upon successful completion of a background screening.
Applicants requiring University sponsorship to obtain employment authorization will not be considered for this position.
Maryville University is committed to a policy of equal opportunity and prohibits discrimination on the basis of age, disability, gender, genetic information, marital status, national origin, race/color, religion, sex, sexual orientation, veteran status, or any other status protected by law. This extends to all aspects of the employment relationship, including recruiting, hiring, training, on-the-job treatment, promotion, layoff, and termination.

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