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Entry Level Artificial Intelligence Jobs in Rochester, NY

Assembler

Le Roy, NY

$17.50 - $18/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Qualifications: * Entry-level position - paid training provided. * Previous manufacturing or ... Artificial Intelligence Notice.

US Tech - FTO Senior Associate

Rochester, NY · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry Level Artificial Intelligence information

See Rochester, NY salary details

$20.1K

$79.5K

$179.5K

How much do entry level artificial intelligence jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level artificial intelligence in Rochester, NY is $79,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,450.00 and $124,774.00 per year, depending on experience, location, and employer.

What are the qualifications to get an entry level artificial intelligence job?

The qualifications necessary for an entry-level artificial intelligence job depend on the exact job that you choose to pursue. You typically need a bachelor’s degree to start in this field. Common degree paths involve various types of math, physics, robotics, cognitive science therapy, graphical modeling, engineering, Bayesian networking, and computer programming languages, science, and coding. Several skills are also helpful, such as being able to work well with others, strong communication skills, the ability to translate highly technical information, and excellent problem-solving abilities.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence professional?

To thrive as an Entry Level Artificial Intelligence professional, you need a solid understanding of programming languages (such as Python), basic statistics, and machine learning concepts, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using data processing libraries are typically required. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and interpret data-driven results. These skills are crucial for building reliable AI solutions and contributing effectively to rapidly evolving projects.

What are some common challenges entry level artificial intelligence professionals face when starting their career, and how can they overcome them?

Entry-level professionals in artificial intelligence often encounter challenges such as bridging the gap between theoretical knowledge and real-world application, keeping up with the fast pace of technological advancements, and collaborating effectively within multidisciplinary teams. To overcome these hurdles, it's helpful to seek mentorship, participate in open-source projects, and continuously update your skills through online courses and workshops. Building strong communication skills will also help when working with colleagues from different backgrounds, such as data engineers, software developers, and business stakeholders.

What is the difference between Entry Level Artificial Intelligence vs Entry Level Data Scientist?

AspectEntry Level Artificial IntelligenceEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models
Common Search IntentEntry level AI roles, AI job requirementsEntry level data science roles, data analysis jobs

Entry Level Artificial Intelligence roles focus on developing AI models and algorithms, often requiring programming and machine learning knowledge. Entry Level Data Scientist positions involve analyzing data and creating predictive models, with overlapping skills but different focus areas. Both roles are common in tech-driven industries and require similar educational backgrounds, but they serve distinct functions within organizations.

How do I start an entry level artificial intelligence career with no experience?

To start an entry-level artificial intelligence career with no experience, focus on building foundational skills in programming languages like Python, learn key concepts such as machine learning and data analysis, and complete online courses or certifications in AI. Gaining practical experience through projects, internships, or contributing to open-source AI initiatives can also improve your prospects.

Which job to go for a beginner in artificial intelligence?

Entry-level artificial intelligence roles typically include positions such as AI intern, junior data analyst, or machine learning assistant. These jobs often require foundational skills in programming (Python or R), basic understanding of algorithms, and familiarity with tools like TensorFlow or scikit-learn, along with a relevant degree or certification. Starting in these roles provides practical experience and a pathway to more advanced AI positions.

What are the most commonly searched types of Artificial Intelligence jobs in Rochester, NY?

The most popular types of Artificial Intelligence jobs in Rochester, NY are:

What are popular job titles related to Entry Level Artificial Intelligence jobs in Rochester, NY?

For Entry Level Artificial Intelligence jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Entry Level Artificial Intelligence jobs in Rochester, NY look for?

The top searched job categories for Entry Level Artificial Intelligence jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Entry Level Artificial Intelligence jobs?

Cities near Rochester, NY with the most Entry Level Artificial Intelligence job openings:

Infographic showing various Entry Level Artificial Intelligence job openings in Rochester, NY as of August 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $79,477 per year, or $38.2 per hour.

Assistant Professor of Physical Therapy (Research)

University of Rochester

Rochester, NY • On-site

$90K - $115K/yr

Other

Posted 15 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

126th of 618 rated colleges and universities


Job description

University of Rochester: Office of the Provost: University of Rochester Medical Center: School of Nursing and Health Sciences: SON DPT Faculty

Salary Range or Pay Grade

$90,000 - $115,000

Description

The University of Rochester Doctor of Physical Therapy (DPT) Program, housed in the School of Nursing, is seeking a candidate for clinical faculty (non-tenure). Candidates must have a license to practice physical therapy and contemporary expertise in an area of curricular need. The program is currently seeking faculty with contemporary expertise in neuroscience, research, and neurologic physical therapy practice. This faculty position is ideal for faculty prepared to seek tenure or who have a strong interest in clinical research.

All DPT faculty are aligned with collaborators across the University of Rochester Medical Center to "Learn, Discover, Heal, Create-and Make the World Ever Better." The DPT clinical faculty are expected to demonstrate teaching excellence, develop an ongoing scholarship agenda, and serve on department and school committees. Faculty are encouraged to maintain clinical practice certifications through joint appointments and establish research collaborations with the University of Rochester clinical enterprise. Successful candidates will be part of a part of a collaborative, solution focused, team of faculty and staff supporting the tri-partite mission of excellence in physical therapy education, research and practice.

The University of Rochester Doctor of Physical Therapy Program (UR DPT) is a 2.5-year, post baccalaureate, residential program, that qualifies graduates to sit for the National Physical Therapy Licensing Exam (NPTE) and prepares graduates for generalist physical therapy practice. The DPT program curriculum focuses on excellence in clinical practice, emerging technology (e.g. Artificial intelligence), leadership skills and person-centered approaches to care. Faculty will develop and guide students through a competency-based education model to prepare for the NPTE. Students participate in clinical experiences across the continuum of care available at an academic medical center. The DPT program is supported by instructional designers, a state-of-the-art simulation center and interprofessional education experiences with the School of Nursing programs. This state of art learning environment is designed to engage, inspire, and elevate student outcomes.

Specific Responsibilities

  • Teach didactic and clinical courses in the DPT program and other SON or University of Rochester Medical School programs per faculty workload agreements.

  • Participate in program faculty meetings, faculty development opportunities, and faculty committees as needed or selected.

  • Develop course materials and assessment practices that provide feedback of student progress toward entry level competency in physical therapy (which may include assisting in student clinical assessments; evaluation/grading of assignments, exams, and experiential learning activities).

  • Hold regular meetings with students regarding meeting or exceeding entry level competencies and professional behaviors.

  • Develop and execute an annual faculty scholarship plan that is within the scope and expertise of the faculty and fits with the university and DPT program mission.

  • Develop and execute an annual faculty development plan to incorporate new learning strategies/theories, emerging technologies and changes in physical therapy practice into entry level education.

  • Maintain current practice expertise consistent with the academic and clinical assignments of the appointment. For APTA Board Certification or equivalent this means maintenance of the certification [2000 hours of clinical work over 10 years or a minimum of 4 hours per week]

  • Individually and collectively, work with DPT faculty and staff to ensure learning activities and assessments meet accreditation standards for entry level education.

The following criteria are preferred:

  • Either an advanced academic degree or equivalent (PhD, EdD, Dsc) and/or Clinical Specialization (APTA Board certification or equivalent).

  • Post-doctoral research experience.

  • Prior experience in an entry level Doctor of Physical Therapy Education program, instructional design, education technology, program development, and project management are beneficial, however, are not required.

  • Participation/willingness to pursue scholarly work (e.g. publications in peer reviewed journals).

  • A commitment to interdisciplinary approaches to care.

  • Rank and salary are commensurate with the University of Rochester School of Nursing criteria for promotion according to the DPT Program clinical faculty (non-tenure track) criteria.

  • Evidence of strong communication skills

Qualifications

Education & Licensure

  • Doctor of Physical Therapy (DPT) degree required

  • Post-entry level degree (EdD, PhD, or equivalent) preferred

  • Current, active physical therapy license required

  • Minimum 3 years full-time post-licensure clinical practice preferred

  • Demonstrated academic teaching expertise that meets curricular needs preferred

  • Evidence of scholarly activity preferred

Experience Requirements

  • Sufficient clinical experience to document "contemporary expertise" (usually 5 years) in core faculty domain.

  • Candidates may demonstrate through one or more of the following

o Education, including post-professional academic work, residency, fellowship, and continuing education.

o Clinical expertise directly related to teaching areas, such as certification as a clinical specialist, residency, or fellowship.

o Scholarship (publications, grant activities, and presentations) related to teaching areas.

o Involvement in consultation and service related to teaching areas.

o Course materials that reflect the level and scope of contemporary knowledge and skills.

o Independent study and evidence-based review resulting in in-depth knowledge of the subject matter.

o Formal mentoring.

Technical Skills

  • Advanced proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)

  • Specialized computer programs necessary for contemporary area of practice. Exemplar technical skills include: Statistical software, cardiopulmonary assessment, neurosensory testing, movement analysis, etc.

Professional Competencies

  • Exceptional written and verbal communication skills

  • Strong organizational abilities with attention to detail

  • Ability to multitask and manage frequent interruptions

  • Sound professional judgment and critical thinking skills

  • Ability to work independently with minimal supervision

  • Commitment to maintaining confidentiality and FERPA compliance

  • Effective negotiation and presentation skills

Application Instructions

The referenced pay range represents the full base range of pay for this position. Individual salaries will be determined within the job's salary range and established based on market data, experience, expertise of the individual, and internal equity considerations.

Equal Employment Opportunity Statement

EOE, including disability/protected veterans

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Classes). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates for all persons consistent with our values and based on applicable law.


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