ZipRecruiter

Log In

1

Ai Training For Electronics Jobs in Rochester, NY

micro1 AI

AI Trainer - Microbiology Expert

Rochester, NY · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.

DataAnnotation

Treasury Analyst - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

... tool for finance professionals. We're seeking experienced finance professionals with advanced ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

DataAnnotation

M&A Associate - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

... tool for finance professionals. We're seeking experienced finance professionals with advanced ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

DataAnnotation

Financial Planner - AI Trainer

Rochester, NY · Remote

$50 - $100/hr

... tool for finance professionals. We're seeking experienced finance professionals with advanced ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

Varsity Tutors

Electronics Tutor

Rochester, NY · Remote

$18 - $40/hr

Earn incrementally higher pay for each session with the same student, reaching up to $40/hour ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

next page

Showing results 1-20

All JobsAi Training For Electronics JobsAi Training For Electronics Jobs in Rochester, NY

Ai Training For Electronics information

See Rochester, NY salary details

$31.1K

$91.1K

$142.1K

How much do ai training for electronics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai training for electronics in Rochester, NY is $91,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $114,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in AI training for electronics, and why are they important?

To thrive in AI Training for Electronics, you need a solid background in electronics engineering, machine learning fundamentals, and data analysis, often supported by a degree in electrical engineering, computer science, or related fields. Familiarity with AI frameworks (like TensorFlow or PyTorch), hardware simulation tools, and relevant certifications such as AI or data science credentials are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills set outstanding professionals apart in this field. These skills and qualities are crucial for developing, optimizing, and deploying AI models that enhance electronic systems’ performance and innovation.

What is AI training for electronics?

AI training for electronics involves teaching artificial intelligence models to understand, diagnose, and optimize electronic systems and devices. This process includes collecting and labeling data from electronic circuits or devices, then using that data to train machine learning algorithms. The goal is to enable AI systems to recognize patterns, predict failures, improve design processes, or automate troubleshooting in electronics. This field is increasingly important as electronics become more complex and integrated with smart technologies.

What is the difference between Ai Training For Electronics vs Electronics Technician?

AspectAi Training For ElectronicsElectronics Technician
CredentialsTypically requires AI/machine learning courses, electronics fundamentalsAssociate degree or technical certification in electronics
Work EnvironmentTraining labs, online platforms, AI development settingsRepair shops, manufacturing facilities, labs
Industry UsageAI integration in electronics manufacturing, testing, and designMaintenance, troubleshooting, and repair of electronic systems

Ai Training For Electronics focuses on teaching AI applications in electronics, including machine learning and data analysis, often in training or development environments. Electronics Technicians work hands-on with electronic devices, performing repairs and maintenance. While both roles require electronics knowledge, Ai Training For Electronics emphasizes AI integration, whereas Electronics Technicians focus on hardware troubleshooting and repair.

What are some common challenges faced by professionals in AI training for electronics, and how can they be addressed?

Professionals in AI training for electronics often encounter challenges such as integrating AI models with complex hardware systems, managing large datasets for accurate model training, and ensuring that AI solutions are robust in real-time electronic environments. Collaborating closely with hardware engineers and data scientists is essential to address these hurdles. Additionally, staying current with AI advancements and investing time in continuous learning helps professionals adapt to evolving technologies and industry best practices.
What job categories do people searching Ai Training For Electronics jobs in Rochester, NY look for? The top searched job categories for Ai Training For Electronics jobs in Rochester, NY are:
Ai Training For Electronics jobs near you
Infographic showing various Ai Training For Electronics job openings in Rochester, NY as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $91,112 per year, or $43.8 per hour.

AI Training Specialist - Chemistry

micro1 AI

Rochester, NY • Remote

$70 - $90/hr

Part-time

Posted 11 days ago

Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.

Apply