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Part Time Artificial Intelligence Remote Work Jobs

Weekday AI

Physics AI Trainer (PhD)

$70 - $85/hr

... remote work that will have a significant impact on the development of advanced AI models Async work and communication Work type: Part-time Industry: Internet and Artificial Intelligence You would not ...

Weekday AI

Economics AI Trainer (PhD)

$70 - $90/hr

... remote work that will have a significant impact on the development of advanced AI models Async work and communication Work type: Part-time Industry: Internet and Artificial Intelligence You would not ...

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Part Time Artificial Intelligence Remote Work information

What is part time artificial intelligence remote work?

Part time artificial intelligence remote work refers to jobs in the AI field that allow employees to work fewer hours than a standard full-time schedule, typically from home or another remote location. These roles can include positions like AI research assistant, data annotator, machine learning engineer, or AI product tester. Working remotely in AI often requires a strong internet connection, self-discipline, and proficiency with online collaboration tools. Many companies offer flexible schedules, allowing employees to balance their AI work with other commitments. This type of work can be ideal for students, parents, or anyone seeking flexibility in their career.

What are the key skills and qualifications needed to thrive as a Part Time Artificial Intelligence Remote Worker, and why are they important?

To thrive as a Part Time Artificial Intelligence Remote Worker, you generally need a background in computer science, mathematics, or a related field, along with experience in AI concepts and machine learning frameworks. Familiarity with tools like Python, TensorFlow, PyTorch, and collaboration platforms such as GitHub or Slack is commonly required. Strong self-motivation, time management, and effective communication skills are vital for excelling in a remote environment. These skills and qualities enable you to efficiently contribute to AI projects, collaborate with distributed teams, and adapt to evolving technical demands.

How do part-time remote AI professionals typically collaborate with full-time team members and contribute to ongoing projects?

Part-time remote AI professionals often use digital collaboration tools like Slack, Zoom, and project management platforms to stay connected with full-time teams. They participate in regular stand-up meetings, share progress updates asynchronously, and contribute to code repositories or shared documents. Clear communication and proactive status reporting are key to ensuring that part-time team members remain aligned with project goals and deadlines. Many companies also assign mentors or points of contact to facilitate smooth onboarding and integration for remote part-time staff.

What is the difference between Part Time Artificial Intelligence Remote Work vs Part Time Data Analyst Remote Work?

AspectPart Time Artificial Intelligence Remote WorkPart Time Data Analyst Remote Work
Required CredentialsBackground in AI, machine learning, programming (Python, R)Statistics, data analysis, Excel, SQL
Work EnvironmentRemote, flexible hours, tech-focusedRemote, flexible hours, data-driven tasks
Industry UsageTech, research, startupsBusiness, finance, marketing
Common Search IntentAI projects, machine learning tasksData reporting, insights generation

Part Time Artificial Intelligence Remote Work typically involves AI-specific skills like machine learning and programming, often in tech or research industries. In contrast, Part Time Data Analyst Remote Work focuses on analyzing data sets and generating reports, common in business sectors. Both roles are remote and part-time, but they require different skill sets and serve different industry needs.

Infographic showing various Part Time Artificial Intelligence Remote Work job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 19% Full Time, 74% Part Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution.

Artificial Intelligence (AI) - Adjunct Faculty - AIU Online (Remote)

American InterContinental University

Remote

Part-time

Posted 18 days ago

Job description

Responsible for providing quality instruction to students through well prepared classes, relevant assignments, fair and holistic assessment of learning, clear documentation of student progress, and support of the academic success for at-risk students.
  • Teach assigned courses
  • Adequately prepare all course materials and lessons. Note preparation time will vary based on instructor experience in teaching that course
  • Provide each student with clear course expectations, evaluations and timelines through carefully written topical outlines and approved, standardized syllabus
  • Provide Interesting and relevant assignments for students that demonstrate learning outcomes in a real-life setting for custom courses
  • Suitably challenge, engage, serve and communicate with students to encourage their participation and learning while maintaining mutual value and respect
  • Complete all assessments, grade books, and final grade sheets per requirements
  • Respond to student questions within 48 hours
  • Identify and refer at-risk students to specific academic support services
  • Ensure course and program learning outcomes are delivered as defined by the syllabus
  • Where applicable, ensure safety and sanitation of all labs, equipment and supplies
  • Post and maintain office and classroom schedules
  • Support program, campus, and university retention activities
  • Attend regularly scheduled in-services and discipline specific professional development activities
  • Complete required professional development and training activities
  • Responsible to maintain credentials as required by accrediting councils/agencies and regulatory bodies

Required Experience
  • Applicant must have at least two years of professional experience (non-teaching) in AI or ML roles. Must be able to perform live coding during instructional hours in courses. Professional certifications preferred in addition to academic preparation.
  • Candidate must have obtained at least a master's degree in Computer Science or closely related discipline with an emphasis in artificial intelligence (AI) /machine learning (ML) from a regionally accredited institution or equivalent; terminal degree preferred.
  • Selected candidates will also be required to complete a satisfactory background check
  • Candidate will be required to submit a resume and/or curriculum vitae and copies of unofficial transcripts (graduate/doctoral degree levels

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