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Ai User Researcher Jobs in Rochester, NY (NOW HIRING)

Sweatpals

Product Manager Internship

Rochester, NY · On-site

Where relevant, contribute to 0-to-1 discovery work for upcoming features - user research synthesis ... AI-native environment : AI isn't a side project here - it's core to how we build. You'll use AI ...

Sweatpals

Product Manager Internship

Geneseo, NY · On-site

Where relevant, contribute to 0-to-1 discovery work for upcoming features - user research synthesis ... AI-native environment : AI isn't a side project here - it's core to how we build. You'll use AI ...

Varsity Tutors

Web Design Tutor

Rochester, NY · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... brand identity, user experience research, and front-end development. * Curriculum Awareness ...

Windstream

Student Intern-Nonexempt

Rochester, NY · On-site

$15 - $20/hr

Work closely with internal and external teams of developers, UI/UX professionals, graphic designers ... Use approved AI tools to accelerate research, summarize information, and draft content (e.g ...

TE Connectivity

SR R&D/PRODUCT DVL ENGINEER

Rochester, NY · On-site

$103K - $141K/yr

As AI workloads demand unprecedented reliability and performance, precision mechanical design of ... Develop innovative latching and retention systems optimized for connector reliability, user ...

Varsity Tutors

Graphic Design Tutor

Rochester, NY · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... research through final execution and connects graphic design to branding, marketing, user ...

Paychex

Sr Back End Marketing Web Developer

Rochester, NY · On-site

$108K - $171K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Supports programming changes during optimization, quality assurance, user acceptance testing, and ...

Paychex

Sr Back End Marketing Web Developer

Rochester, NY · Remote

$108K - $171K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Supports programming changes during optimization, quality assurance, user acceptance testing, and ...

Paychex

Senior Software Engineer -P

Rochester, NY · On-site +1

$120K - $159K/yr

Code and design new applications based upon detail specifications of business and user requirements ... Research, experiment and recommend emerging technologies. Qualifications * in Bachelor's in ...

All JobsAi User Researcher JobsAi User Researcher Jobs in Rochester, NY

Ai User Researcher information

See Rochester, NY salary details

$29.6K

$111.6K

$162.3K

How much do ai user researcher jobs pay per year?

As of Aug 11, 2026, the average yearly pay for ai user researcher in Rochester, NY is $111,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $151,900.00 per year, depending on experience, location, and employer.

How do you become an AI user researcher?

To become an AI user researcher, you typically need a background in human-computer interaction, psychology, or related fields, along with experience in user research methods such as interviews, surveys, and usability testing. Familiarity with AI technologies and data analysis tools is also beneficial, and some roles may require a bachelor's or master's degree. Gaining experience through internships or projects can help build relevant skills for this role.

What is the difference between Ai User Researcher vs Data Scientist?

AspectAi User ResearcherData Scientist
Required CredentialsBachelor's or Master's in Human-Computer Interaction, Psychology, or related fields; knowledge of AI toolsBachelor's or Master's in Computer Science, Statistics, or related fields; strong programming skills
Work EnvironmentResearch labs, tech companies, user experience teamsData analysis teams, tech companies, analytics departments
Industry UsageDesigning AI interfaces, improving user experience with AIBuilding predictive models, data analysis, AI algorithm development
Common Search & ComparisonOften compared for their roles in AI development and user interaction

The main difference between an Ai User Researcher and a Data Scientist lies in their focus areas. Ai User Researchers concentrate on understanding user needs and improving AI interfaces through user studies, while Data Scientists analyze data to develop models and algorithms. Both roles require technical skills, but their applications and work environments differ significantly.

What does an AI User Researcher do?

An AI User Researcher is responsible for studying how people interact with artificial intelligence products or features to improve their usability and effectiveness. They conduct user interviews, usability tests, surveys, and data analysis to gather insights on user needs, behaviors, and pain points. Their findings help guide the design and development of AI systems to ensure they are user-friendly, ethical, and meet real-world requirements. AI User Researchers often work closely with designers, engineers, and product managers throughout the development process.

What are the key skills and qualifications needed to thrive as an AI User Researcher?

To thrive as an AI User Researcher, you need a strong background in user research methodologies, data analysis, and human-computer interaction, typically supported by a degree in psychology, human factors, or related fields. Familiarity with tools like survey platforms (e.g., Qualtrics), usability testing software, and data visualization systems, as well as experience with AI technologies, is highly valuable. Excellent communication, empathy, and critical thinking skills help you interpret user needs and convey actionable insights to multidisciplinary teams. These competencies ensure that AI products are user-centric, effective, and intuitive, leading to better adoption and satisfaction.

How does an AI User Researcher collaborate with product and engineering teams during the development cycle?

AI User Researchers play a crucial role in bridging the gap between end-users and technical teams. They work closely with product managers to define user needs and pain points, and partner with engineers to translate research findings into actionable design and feature improvements. Regular collaboration involves presenting user insights, participating in sprint planning, and providing ongoing feedback to ensure AI-driven products are intuitive, ethical, and aligned with user expectations. This collaborative environment fosters continuous learning and ensures that user experience remains central throughout the development process.
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Ai User Researcher jobs near you
Infographic showing various Ai User Researcher job openings in Rochester, NY as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $111,594 per year, or $53.7 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, NY • On-site

Other

Re-posted 21 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply