Job Closed
This listing is no longer active.
For 55 years, Colorado Technical University (CTU) has helped students fit a real-world education into their busy daily lives. With nearly 80 degree programs and concentrations in which students can pursue a variety of degrees at the associate, bachelor's, master's and doctoral level, CTU provides flexible online classes, accessible through the University's Virtual Campus or the innovative CTU Mobile app. CTU also maintains two ground campus locations in Colorado Springs and Aurora, Colo. With the help of faculty and industry professionals, CTU has awarded over 109,000 degrees to traditional campus and online students since 1965.
COCSET Adjunct Instructor
Location
United States
Posted
102 days ago
Salary
0
No structured requirement data.
Job Description
COCSET Adjunct Instructor
Colorado Technical University
Consistent with and supportive of CTU's mission (to provide industry-relevant higher education to a diverse student population through innovative technology and experienced faculty, enabling the pursuit of personal and professional goals), Adjunct Faculty members provide quality and innovative instruction and meaningful engagement with our students to successfully achieve the relevant course, program, and degree level outcomes and support their academic success. Responsibilities - Prepare relevant, insightful, and engaging instructional materials and utilize existing course materials that support learning by CTU's student population. - Provide instruction in assigned courses (including applicable laboratory or work that is integral to the courses) that aligns with CTU's curricula and outcomes, instructional modalities, course technologies, and faculty expectations. - Engage and communicate with students to encourage their course participation and learning while maintaining mutual respect and professionalism. - Relate professional/industry experience to CTU's Professional Learning Model by the continuation of professional/technical skills development, introduction of professional/industry perspectives into courses, and active awareness of professional/industry trends and opportunities. - Maintain accessibility for and provide timely responsiveness to students, academic/faculty leadership, and University staff by telephone, CTU e-mail, and other appropriate means of communication. - Establish and maintain weekly office hours for student questions/support. - Assess student performance on course assignments and provide assignment feedback to support continued student growth and development. - Maintain appropriate documentation of student course activities. - Work with appropriate CTU teams (e.g., advising, academic/faculty leadership, and University staff) and leverage appropriate information to identify and support students who may be exceptional or challenged in their coursework and/or educational endeavors. - Refer students to appropriate co-curricular and extra-curricular resources (e.g., advising, tutoring, library, learning centers, and career services). - Participate in and contribute to CTU's academic governance through attendance at appropriate University/college/program meetings and participation in the academic assessment and institutional effectiveness process (including completion of appropriate surveys and participation in continuous improvement initiatives). - Successfully complete required new faculty certification training, course-specific technology/pedagogical training, annual ethics and information technology policy training, and annual faculty development requirements. - Provide periodic required documentation of ongoing and updated licensures, certifications, immunizations (as appropriate to the specific college/program), scholarship, and academic/professional experience (e.g., CVs/resumes). - Work closely with Program Chair and/or Lead Faculty (as appropriate). - Perform other responsibilities and abide by the appropriate policies and procedures contained in CTU's Faculty Handbook. Required Skills - Strong organizational and time management skills, with proficiency in meeting deadlines and urgency in responding to questions/requests. - Strong interpersonal and oral presentation/written communication skills. - Proficiency in working effectively, cooperatively, and flexibly in a team environment. - Proficiency with standard office and mobile applications (i.e., word processing, presentations, e-mail, calendaring, teleconferencing, text messaging, personal computers, and smart phones/tablets). Required Experience - Minimum and preferred (if different) from an institution regionally accredited by an agency recognized by the U.S. Department of Education (or international equivalent), additional requirements driven by state licensing or accreditation considerations may apply; educational requirements from primary MCO. - Minimum and preferred (if different) academic/teaching experience requirements from primary MCO. - Minimum and preferred (if different) professional experience requirements from primary MCO. - 18 graduate semester credit hours/27 graduate quarter credit hours in subject domain(s) from primary MCO. - Minimum and preferred (if different) licensure/certification requirements from primary MCO. What we offer* CTU generally compensates its Adjunct Faculty on a per quarter credit hour rate that takes into consideration a variety of factors, including campus (online and campus), degree level (undergraduate and graduate), and faculty rank (Instructor, Assistant Professor, Associate Professor, and Professor); the base rate for an Adjunct Faculty can range between $331.50 and $603.64 per credit hour. - Paid sick leave - 401(k) savings plan with company match - Employee Stock Purchase Plan (ESPP) - Company paid tuition assistance -- subject to approval - Employee Assistance Program (EAP) - Adoption assistance - Additional ancillary programs may be available * Some benefits may vary by jurisdiction and are subject to eligibility.
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
Copy Intern
KettleMicro-reinsurer/MGA using Swarm Neural Networks to better underwrite climate change effected risks.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Being a Copywriter at Kettle means playing a pivotal role in defining experiences that span across departments, bringing creativity, strategy, and innovation together to craft meaningful solutions. Our writers are not just creators—they are collaborators, storytellers, problem-solvers, and visionaries who drive impact through copy. As our Copy Intern, you’ll partner with our Creative and Strategy teams to write long- and short-form content, from social posts and website copy, to scripts and pitch decks. - Collaborate and work with the Copy team to write headlines, taglines, social, and product copy across multiple touchpoints - Contribute to internal and client facing pitches and presentations - Help create, maintain and implement copy guides to ensure consistent voice and tone - Partner closely with creative leads to ensure work meets expectations - Participate in internal creative reviews, and impromptu work sessions - Co-create with other interns on a final Intern presentation based on a previous agency brief and present that work Qualifications - Comfortable working in Google Suite and MS Word; additional creative (Adobe, Figma, etc.) or project management software (Notion, Airtable, etc) a plus - Confident presentation skills, and excellent written and verbal communication - A portfolio of work samples that show multiple examples of long- and short-form writing - Familiarity with AI tools, and the ability to explain or demonstrate value gained through AI, and how you use it in your workflow Requirements - You must be entering your senior year of undergraduate studies, a recent graduate, master's student, career changer, reentering the workforce, or switching careers - You must be currently based in the U.S - You must be able to work approximately 40 hours per week for the duration of the program Benefits - The salary range for this role is between $20 - $25 per hour based on skill set, education level, location, and experience.
• Develop and train ML/DL models using TensorFlow, PyTorch, or similar frameworks. • Process, explore, and validate large datasets. • Build, tune, and deploy machine learning pipelines. • Conduct statistical analysis, error analysis, and model optimization. • Document experiments, pipelines, and technical decisions. • Collaborate with product and engineering teams to align model design with business needs.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Airbnb is seeking a Machine Learning Engineer Intern for our 2026 Summer Intern Program. Machine Learning at Airbnb is a diverse and dynamic field, with teams working on various aspects of the ML landscape. We are using ML to tackle various challenges in search ranking, payments, fraud prevention, discrimination, and growth all while maintaining a beautiful experience. - Contribute to challenging projects - Drive a project from end-to-end that aligns with your technical interest and goals - Explore how new advancements in AI agents can be applied to Airbnb search and discovery experience - Own and drive a capstone project from beginning to end - Collaborate with multiple team members to achieve project milestones - Communicate with stakeholders across different teams to provide project updates - Seek and provide feedback throughout the internship - Actively participate in and contribute to the Engineering org and broader Airbnb community Qualifications - Doctorate students with at least 1 semester of school remaining after the internship (expected graduation after December 2026) - Studying Computer Science or a related field - Knowledge of AI, especially large language model (LLM) fundamentals including fine tuning, data synthesis, reinforcement learning, etc. - Expertise of building large scale ReAct style AI agents - Proficient in Python and other open source LLM libraries like Huggingface - Publications in top Machine Learning and NLP conferences are a big plus - Leadership position, AI community involvement, and or teaching/mentoring experience is a plus - Work authorization for employment in the United States is required Requirements - This position is US - Remote Eligible - The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager - You must live in a state where Airbnb, Inc. has a registered entity Benefits - Pay Rate: $4,500.00 biweekly - Pay Range: $20 — $50 USD - This role may also be eligible for benefits and Employee Travel Credits Company Description Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. - Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way - The Search Relevance and Personalization team is responsible for building search ranking algorithms and the personalization platform that serves multiple product surfaces - The team consists of 30+ ML Engineers working on different aspects of relevance and personalization - The team is very much experimentation oriented and runs frequent A/B tests to improve the relevance of the product surfaces they power - The team is also very much applied research oriented and regularly publishes work at KDD, CIKM and WSDM Conferences
• Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud • Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using GCP Vector Search or Pinecone • Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance • Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks • Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques • Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved
