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Ai Prompt Training Jobs in Rochester, NY (NOW HIRING)

Innovative Solutions

AI Solutions Engineer

Rochester, NY · Remote

$120K - $150K/yr

Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain ... education/training We may use artificial intelligence (AI) tools to support parts of the hiring ...

New

Innovative Solutions

AI Solutions Engineer

Rochester, NY · On-site +1

$120K - $150K/yr

Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain ... education/training We may use artificial intelligence (AI) tools to support parts of the hiring ...

Pwc

ERP AI Engineer - Manager

Rochester, NY

$99K - $232K/yr

These individuals analyse client needs, implement software solutions, and provide training and ... and prompt engineering - Building scalable, cloud-native microservices and containerized ...

All JobsAi Prompt Training JobsAi Prompt Training Jobs in Rochester, NY

Ai Prompt Training information

See Rochester, NY salary details

$31.6K

$67.8K

$110.5K

How much do ai prompt training jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai prompt training in Rochester, NY is $67,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $83,400.00 per year, depending on experience, location, and employer.

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

Professionals in AI prompt training often encounter challenges such as maintaining prompt clarity, avoiding biased or ambiguous language, and continuously adapting to evolving AI models. It can be tricky to strike the right balance between specificity and flexibility in prompts to achieve reliable outputs. Collaboration with data scientists and AI developers is key to refining prompts and understanding model behavior. Regularly reviewing prompt outcomes, participating in team feedback sessions, and staying updated on best practices can help address these challenges and improve the quality of prompt training.

What is AI prompt training?

AI prompt training is the process of designing, refining, and testing prompts to guide artificial intelligence models, such as language models, to produce accurate, relevant, and useful outputs. This involves understanding how the AI interprets different instructions and iteratively improving prompts to achieve desired results. People working in AI prompt training often experiment with phrasing, context, and structure of prompts to optimize AI performance for various tasks, including content generation, summarization, or problem solving.

What is the difference between Ai Prompt Training vs Ai Content Writer?

AspectAi Prompt TrainingAi Content Writer
Required CredentialsKnowledge of AI models, training techniques, and prompt engineeringWriting skills, SEO knowledge, and content creation experience
Work EnvironmentTech companies, AI labs, remote or office-based roles focused on AI model developmentMarketing agencies, media companies, or freelance platforms creating written content
Employer & Industry UsageUsed by AI developers and tech firms to improve AI interactionsUsed by content marketing and publishing industries to produce engaging articles

While Ai Prompt Training involves developing and refining prompts to optimize AI responses, Ai Content Writers focus on creating high-quality written content for various platforms. Both roles require strong communication skills, but Ai Prompt Training emphasizes technical understanding of AI models, whereas Ai Content Writers prioritize writing and SEO expertise.

What are the key skills and qualifications needed to thrive as an AI prompt trainer, and why are they important?

To excel as an AI Prompt Trainer, you need a solid understanding of natural language processing, machine learning concepts, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms, prompt engineering tools, and annotation systems is typically required, as well as experience with programming languages like Python. Strong communication, creativity, and attention to detail are important soft skills for crafting effective prompts and collaborating with development teams. These skills ensure that AI models are trained efficiently, resulting in accurate and contextually relevant outputs that meet user needs.
What are popular job titles related to Ai Prompt Training jobs in Rochester, NY? For Ai Prompt Training jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Training jobs in Rochester, NY look for? The top searched job categories for Ai Prompt Training jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Ai Prompt Training jobs? Cities near Rochester, NY with the most Ai Prompt Training job openings:
Ai Prompt Training jobs near you

AI Solutions Engineer

Innovative Solutions

Rochester, NY • On-site, Remote

$120K - $150K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an AI Solutions Engineer to lead client AI initiatives from discovery through production deployment. You will partner with clients to identify high-impact Generative AI use cases, evaluate data readiness, and rapidly build proof-of-concept applications that demonstrate tangible business value. You will design and implement production-ready AI solutions leveraging Amazon Bedrock, foundation models, RAG pipelines, and AI agent frameworks such as LangChain and LlamaIndex. As a client-facing technologist, you will translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices.

Location: This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter

What this role is responsible for:

AI Assessment & Discovery

  • Participate in client discovery workshops and technical interviews to identify and prioritize high-impact GenAI use cases
  • Analyze client data landscapes, evaluating data readiness, quality, and accessibility for AI solutions
  • Rapidly design and build proof-of-concept (POC) applications and live demonstrations that validate AI use cases and illustrate business value to client stakeholders
  • Translate discovery findings into technical specifications, architecture recommendations, and implementation plans
  • Present POC results and assessment recommendations to client teams, building confidence and momentum for production investments

GenAI Solution Development

  • Design and implement production-ready Generative AI applications using Amazon Bedrock, Anthropic Claude, and other foundation models
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (Weaviate, OpenSearch, Pinecone)
  • Develop AI agents and multi-agent orchestration systems using frameworks like LangChain, LlamaIndex, or custom implementations
  • Create conversational AI interfaces with natural language understanding, intent detection, and context management
  • Implement prompt engineering strategies, few-shot learning, and fine-tuning approaches for domain-specific applications
 

Client Engagement & Delivery

  • Translate business requirements into technical specifications and suggested implementation plans
  • Provide technical guidance and recommendations to clients on AI/ML best practices
  • Document architecture decisions, code, and deployment suggestions

What makes someone successful in this role:

  • You have a proven track record delivering production AI applications from concept to deployment
  • You excel at conducting technical discovery and assessment work, including stakeholder workshops and use-case identification
  • You can build proof-of-concept applications and live demonstrations that communicate technical concepts to non-technical audiences
  • You have excellent problem-solving skills and the ability to work independently with minimal supervision
  • You possess strong written and verbal communication skills for client-facing interactions
  • You are passionate about Generative AI and stay current with the latest developments in LLMs, agents, and AI frameworks

Requirements:

  • 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • 2+ years of hands-on AWS experience with production deployments
  • 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • AWS Certifications: Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred)
  • Background in healthcare, financial services, or regulated industries with understanding of compliance requirements (HIPAA, PCI-DSS, SOC 2) (preferred)
  • Contributions to open-source AI/ML projects or published technical content (preferred)
  • Experience with multi-tenant SaaS architectures and data isolation patterns (preferred)
  • Knowledge of cost optimization strategies for AI workloads (model selection, caching, batching) (preferred)
  • Familiarity with frontend frameworks (React, Angular) for building AI-powered UIs (preferred)
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\\n$120,000 - $150,000 a yearThe salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate\'s professional experience, key skills, and education/training\\n

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