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Flexible Software Developer Ai Trainer Jobs in Rochester, NY

CaterTrax, Inc.

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

EXPERIENCE Required: * 6+ years of professional software engineering experience, including 2+ years building LLM-based or AI-powered systems in production. * Hands-on experience with retrieval ...

L3HHCM20

Manager, Software Engineering

Rochester, NY · On-site

$117K - $218K/yr

Experience with DevOps practices and tools * Experience managing teams of software engineers and ... flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company ...

CaterTrax

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

EXPERIENCE Required: * 6+ years of professional software engineering experience, including 2+ years building LLM-based or AI-powered systems in production. * Hands-on experience with retrieval ...

Volaris Group

Senior Agentic AI Engineer

Rochester, NY · On-site

$103K - $141K/yr

EXPERIENCE Required: * 6+ years of professional software engineering experience, including 2+ years building LLM-based or AI-powered systems in production. * Hands-on experience with retrieval ...

New

Paychex

Manager, Software Engineering I

Webster, NY · On-site

$117K - $184K/yr

We responsibly adopt enterprise-approved AI tools to improve developer productivity, automate ... Our award-winning training and development programs empower our employees with ongoing learning ...

Paychex

Manager, Software Engineering I

Webster, NY

$117K - $184K/yr

We responsibly adopt enterpriseapproved AI tools to improve developer productivity, automate ... Our award-winning training and development programs empower our employees with ongoing learning ...

Redcom Laboratories, Inc.

SOFTWARE ENGINEER

Victor, NY · On-site

... training; education and certifications; and other business and organizational needs. It is not ... Software Engineer: Hiring Range $66,000 - $77,000 Senior Software Engineer: Hiring Range $76,000 ...

REDCOM Laboratories, Inc.

SOFTWARE ENGINEER

Victor, NY · Hybrid

... training; education and certifications; and other business and organizational needs. It is not ... Software Engineer: Hiring Range $66,000 - $77,000 Senior Software Engineer: Hiring Range $76,000 ...

Pwc

US Tech - AI Engineering Manager

Rochester, NY

$73K - $244K/yr

... software, platform, or cloud engineering, including people leadership - In lieu of a Bachelor ... specialized training and/or progressively responsible work experience in technology for each ...

L3HHCM20

Associate, Software Engineering

Rochester, NY · On-site

$66K - $123K/yr

Associate, Software Engineering Job Code: 40103 Job Location: Rochester, NY Job Schedule: 9/80 ... flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company ...

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Flexible Software Developer Ai Trainer information

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How much do flexible software developer ai trainer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for flexible software developer ai trainer in Rochester, NY is $30.83, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $35.10 per hour, depending on experience, location, and employer.

What is a flexible software developer AI trainer?

A Flexible Software Developer AI Trainer is a professional who works on training artificial intelligence (AI) systems by providing high-quality data, feedback, and guidance, often on a flexible or part-time schedule. This role typically involves tasks such as evaluating AI-generated code, annotating datasets, or reviewing language model outputs to improve accuracy and performance. The 'flexible' aspect means that work hours and locations are adaptable to the trainer's needs, making it ideal for those seeking remote or non-traditional work arrangements. This job is essential for advancing AI technologies and ensuring their outputs meet user expectations.

What are the key skills and qualifications needed to thrive as a flexible software developer AI trainer, and why are they important?

To thrive as a Flexible Software Developer AI Trainer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and experience in software development, often with a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and prompt engineering tools is typically required. Excellent communication, adaptability, and problem-solving skills help you effectively train, evaluate, and improve AI models. These competencies are vital for ensuring high-quality AI training data and optimal model performance in a rapidly evolving tech environment.

What types of collaboration can a flexible software developer AI trainer expect when working on projects?

As a Flexible Software Developer AI Trainer, you will frequently collaborate with data scientists, product managers, and other software engineers to design, implement, and refine AI models and training datasets. Regular communication is key, as you'll need to provide feedback on model performance, clarify requirements, and sometimes help shape project goals. This role often involves remote teamwork, using agile methodologies and a variety of communication tools to coordinate effectively. Being proactive and adaptable will help you navigate shifting project priorities and contribute to successful outcomes.

What is the difference between Flexible Software Developer Ai Trainer vs Data Scientist?

AspectFlexible Software Developer Ai TrainerData Scientist
Required CredentialsBachelor's in CS or related field, AI/ML certifications often preferredBachelor's or higher in CS, Statistics, or related field, often with advanced degrees
Work EnvironmentTech companies, AI startups, remote or office-basedResearch labs, tech firms, consulting, often remote or hybrid
Employer & Industry UsageAI development, software firms, startupsData analysis, predictive modeling, research projects

While both roles involve working with data and AI, a Flexible Software Developer Ai Trainer primarily focuses on developing and training AI models through coding and software engineering. In contrast, a Data Scientist emphasizes analyzing data, building statistical models, and deriving insights. The roles overlap in skills like programming and understanding AI, but their core responsibilities differ based on their focus areas.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Rochester, NY?

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For Flexible Software Developer Ai Trainer jobs in Rochester, NY, the most frequently searched job titles are:

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Flexible Software Developer Ai Trainer jobs near you

Senior Agentic AI Engineer

CaterTrax, Inc.

Rochester, NY • On-site

$103K - $141K/yr

Full-time

Posted 16 days ago

Job description

Hungry, humble and smart? If you have these qualities, we want you on the team.
Job Summary:
The Senior Agentic AI Engineer is the operational owner of the Constituent Data Layer (CDL) and the safe, secure rollout of AI agents across CaterTrax® constituent surfaces.
Reporting to the Director, Enterprise Architecture as a member of the Data Layer group, this engineer manages the CDL schema, the agent registry, and the policy engine that governs which agents can access which data under which conditions, and instruments the data flywheel that returns outcomes from agent actions back into the layer.
The role partners with the Director of Strategic Solutions on Brief-to-agent translation, with the Director, Product and Solutions on engineering intake, with platform engineering on runtime, and with Finance on data flywheel ROI metrics. Without this role, agents would be built ad hoc across teams with no shared governance; this seat ensures they are not.
Job Description:
ESSENTIAL DUTIES AND RESPONSIBILITIES
CONSTITUENT DATA LAYER OWNERSHIP
  • Manage the Constituent Data Layer schema, including versioning, integrity, and evolution as constituent surfaces expand.
  • Own the agent registry: the authoritative record of every agent operating across CaterTrax surfaces.
  • Build and operate the policy engine governing which agents can access which data under which conditions.
  • Establish and maintain shared governance so agents are built on the CDL rather than ad hoc across teams.

AGENT DEVELOPMENT & SAFE ROLLOUT
  • Design, build, and deploy AI agents across constituent surfaces on the shared platform substrate.
  • Implement guardrails, evaluation harnesses, and monitoring for agent behavior in production.
  • Define and operate the rollout process for new agents, including staged release, human oversight, and rollback.
  • Lead incident response for agent behavior issues, including root-cause analysis and remediation.

DATA FLYWHEEL & MEASUREMENT
  • Instrument the data flywheel that returns outcomes from agent actions back into the Constituent Data Layer.
  • Partner with Finance to define and report data flywheel ROI metrics.
  • Ensure agent telemetry supports both product improvement and executive decision-making.

CROSS-FUNCTIONAL PARTNERSHIP
  • Partner with the Director of Strategic Solutions on Brief-to-agent translation, converting constituent problem framing into agent designs.
  • Partner with the Director, Product and Solutions on engineering intake and sequencing.
  • Partner with platform engineering on agent runtime, deployment, and operational readiness.

ENGINEERING EXCELLENCE
  • Uphold engineering standards, code review practices, and documentation quality across all Data Layer work.
  • Embed security and privacy by design into every agent and data-layer decision.

QUALIFICATIONS AND EXPERIENCE INCLUDES
EDUCATION
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline required.
Master's degree preferred.
EXPERIENCE
Required:
  • 6+ years of professional software engineering experience, including 2+ years building LLM-based or AI-powered systems in production.
  • Hands-on experience with retrieval-augmented generation (RAG), vector databases, and prompt/agent design patterns.
  • Strong data modeling and API design skills, including schema governance in a shared-platform context.
  • Experience implementing evaluation, monitoring, and guardrails for AI systems in production.
  • Proficiency in Python and/or a modern backend language used in production services.

Preferred:
  • Experience with agent orchestration frameworks, agent registries, or policy/authorization engines.
  • Experience in foodservice technology, hospitality tech, or B2B SaaS platforms.
  • Familiarity with responsible AI practices, AI governance frameworks, and data privacy regulations.

SKILLS AND COMPETENCY REQUIREMENTS
  • Ownership: Treats the Constituent Data Layer as a product with constituents, not a project with tasks.
  • Safety mindset: Designs for what agents must never do before optimizing what they can do.
  • Pragmatic shipping: Delivers working, governed capability iteratively rather than perfect systems slowly.
  • Cross-functional translation: Moves fluently between constituent problem language and engineering design.
  • Documentation discipline: Leaves every schema, agent, and policy legible to the next engineer.
  • Curiosity: Tracks the rapidly evolving agentic AI landscape and applies it judiciously.

TECHNOLOGY SKILLS
The Senior Agentic AI Engineer is expected to bring deep hands-on proficiency across the following technology domains.
AI & MACHINE LEARNING PLATFORMS
  • Large language model (LLM) platforms: OpenAI / Azure OpenAI, Anthropic Claude, AWS Bedrock, or equivalent.
  • Agent orchestration frameworks, function/tool calling, and multi-agent patterns.
  • Retrieval-augmented generation (RAG) architecture and vector database platforms.
  • AI ops tooling for model monitoring, versioning, drift detection, and deployment pipelines.

CLOUD & INFRASTRUCTURE
  • Cloud platforms: proficiency in Microsoft Azure, with fluency across AWS and Google Cloud.
  • Containerization and orchestration: Docker and Kubernetes.
  • Serverless and event-driven architecture patterns.

DATA & ANALYTICS
  • SQL, relational, and vector databases.
  • Data pipeline and transformation tooling.
  • Schema design, data contracts, and data governance practices.

SOFTWARE ENGINEERING & DEVOPS
  • Source control and collaboration: Git, GitHub, or GitLab, including PR workflows and code review practices.
  • CI/CD pipeline platforms: GitHub, Azure DevOps.
  • API design and management; identity and access patterns (OAuth 2.0, SSO/SAML).
  • Agile and project management tooling: Jira, Confluence (Atlassian suite experience preferred).

PRODUCTIVITY & COLLABORATION
  • Microsoft 365 suite: Teams, SharePoint, Excel, and PowerPoint.
  • AI productivity tools: Microsoft Copilot, Anthropic Claude, or similar for personal and team enablement.

COMPENSATION
Salary range: $140,000 - $170,000, dependent upon experience
PHYSICAL DEMANDS
While performing the duties of this job, the employee is regularly required to sit; use hands to operate a computer, copier, fax or other office equipment. The employee must occasionally lift and/or move up to 15 pounds.
WORK ENVIRONMENT
Assumes a hybrid work environment located in Rochester, New York.
While performing the duties of this job, the noise level in the work environment is usually quiet to moderate.
TRAVEL
Up to 10%, Domestic (as required)
Worker Type:
Regular
Number of Openings Available:
1
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