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

Pwc

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

... training and/or progressively responsible work experience in Engineering with AI and Machine ... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ...

Pwc

ERP AI Engineer - Manager

Rochester, NY · On-site

$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 17, 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 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 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 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 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 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 Design Manager - Hybrid

Mindex

Rochester, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

Mindex is looking for an AI Solutions Design Manager to lead the strategy, design, and delivery of AI and Generative AI solutions that solve real business challenges and improve operational performance. This role blends hands-on technical expertise with strategic leadership - you'll guide cross-functional teams to identify high-value opportunities, architect scalable AI/GenAI systems, and drive successful adoption across the organization.
You'll be equally comfortable setting direction at the roadmap level and getting into the weeds on solution architecture, model selection, and RAG/agent design - while also serving as a trusted advisor who can translate complex AI concepts into language business leaders can act on.
Compensation
$160,000 - $180,000, plus a 20% bonus based on company performance goals.
What You'll Accomplish
Strategy & Innovation
  • Develop and maintain an AI/GenAI vision and roadmap aligned to business goals, identifying high-value use cases across business units.
  • Evaluate emerging AI technologies - LLMs, copilots, multimodal models, autonomous agents, automation platforms - and recommend practical, prioritized applications.
  • Establish standards and reusable design patterns for prompt engineering, model tuning, and GenAI solution architecture.

Solution Architecture & Delivery
  • Lead end-to-end design of AI/ML and GenAI solutions from concept to production, translating business requirements into technical specifications, data flows, and architectures.
  • Architect GenAI-powered applications such as chatbots, copilots, summarization engines, and content-generation workflows.
  • Oversee development of reusable GenAI components - prompt libraries, embeddings, vector search, knowledge models, and RAG systems - and guide model selection and fine-tuning decisions.
  • Partner with data engineering and IT teams to ensure solutions are scalable, maintainable, and meet enterprise standards for security, privacy, and governance.

Project & Team Leadership
  • Manage the AI/GenAI project portfolio, including scoping, planning, resourcing, and execution.
  • Lead cross-functional teams of data scientists, engineers, analysts, and business stakeholders through agile delivery cycles.
  • Serve as a trusted advisor to business leaders on AI capabilities, risks, and best practices, and support change management for organization-wide adoption.

Governance & Responsible AI
  • Ensure AI/GenAI solutions meet ethical, fairness, privacy, and regulatory standards, including content filtering, hallucination mitigation, and usage guardrails.
  • Define acceptable-use policies and risk frameworks for internal GenAI tools, and maintain documentation, monitoring, and lifecycle management processes.
  • Oversee adoption and governance of enterprise GenAI platforms (Microsoft 365 Copilot, Azure OpenAI, GitHub Copilot, etc.) in partnership with security and infrastructure teams.

Enablement & Operationalization
  • Develop training programs on responsible AI/GenAI usage and coach teams on effective prompt engineering and human-in-the-loop workflows.
  • Define KPIs to measure GenAI performance and business value, and monitor for model drift, usage patterns, hallucination rates, and user satisfaction.
  • Lead continuous improvement cycles for AI/GenAI systems based on data-driven insights.

Requirements
  • Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related field.
  • 7+ years of experience in AI/ML, data analytics, or software engineering, including 3+ years leading technical teams or designing enterprise AI solutions.
  • Strong understanding of machine learning, LLMs, NLP, deep learning, and automation technologies.
  • Hands-on experience with modern AI platforms (Azure ML, Databricks, OpenAI, AWS, etc.).
  • Proven ability to translate business needs into scalable technical solutions.
  • Strong leadership, communication, and stakeholder engagement skills.

Preferred
  • Experience deploying enterprise GenAI or LLM-based applications.
  • Cloud certifications (Azure, AWS, GCP).
  • Experience with MLOps, RAG, vector databases, and prompt engineering.
  • Previous leadership experience across hybrid technical/business teams.

Success Indicators
  • Delivery of AI/GenAI solutions with measurable business impact.
  • Strong adoption and satisfaction across business teams.
  • Advancement of organizational AI maturity and literacy.
  • Demonstrated innovation and ROI from AI-enabled transformation.

Benefits
  • Hybrid
  • Medical, Dental, and Vision Insurance
  • 401(k) with Company Match
  • Company-Paid Life and Disability Insurance
  • Professional Development Opportunities

Additional Information
  • Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time.

Physical Requirements/Conditions
  • Prolonged periods sitting at a desk and working on a computer.
  • No heavy lifting is expected. Exertion of up to 10 lbs.

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