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Virtual Ai Rater Jobs in Utah (NOW HIRING)

Director, Product Management, Platform

Sandy, UT ยท On-site

$221K - $232K/yr

... AI workloads -- including adoption rates by application teams, time-to-integrate, SLA adherence ... AI, virtual agents, or generative AI applications -- particularly from the perspective of ...

Presentation Skills Tutor

Provo, UT ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and virtual presentation tools. Ability to explain the principles of visual communication ...

Presentation Skills Tutor

Logan, UT ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and virtual presentation tools. Ability to explain the principles of visual communication ...

Presentation Skills Tutor

Cedar City, UT ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and virtual presentation tools. Ability to explain the principles of visual communication ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and virtual presentation tools. Ability to explain the principles of visual communication ...

Rate: $60.00 to $66.00/hr. w2 Responsibilities: * Build omni-channel user experiences and ... Familiarity with Gen AI tools such as Copilot or Gemini. Recruitment Transparency Notice Eliassen ...

... and virtual card, can consume through well-defined APIs and tooling. * Partner with Data and AI ... Deep fluency in rewards and card economics, including interchange, take rate, rewards cost as a ...

... and virtual card, can consume through well-defined APIs and tooling. * Partner with Data and AI ... Deep fluency in rewards and card economics, including interchange, take rate, rewards cost as a ...

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Virtual Ai Rater information

What are some common challenges Virtual AI Raters face when evaluating AI-generated content, and how can these be addressed?

Virtual AI Raters often encounter challenges such as maintaining objectivity, adapting to evolving evaluation criteria, and managing repetitive tasks. To address these, it's important to follow standardized guidelines closely, participate in regular calibration sessions with peers or supervisors, and utilize provided tools for efficient task management. Engaging in ongoing training and staying updated on best practices can also help raters ensure consistent and high-quality evaluations.

What are Virtual AI Raters?

Virtual AI Raters are individuals who remotely evaluate and assess the accuracy, relevance, and quality of artificial intelligence outputs, such as search engine results, ads, or chatbot responses. They follow specific guidelines to rate or annotate data, helping improve AI systems' performance. This role typically requires strong attention to detail, familiarity with online search engines, and the ability to provide objective feedback. Virtual AI Raters usually work part-time and have flexible schedules, making it a popular option for those seeking remote work opportunities.

What are the key skills and qualifications needed to thrive as a Virtual AI Rater, and why are they important?

To thrive as a Virtual AI Rater, you generally need strong analytical skills, attention to detail, and proficiency in English or the target language, often supported by a high school diploma or higher. Familiarity with web browsers, online research, and rating platforms or proprietary evaluation systems is typically required. Excellent time management, reliability, and the ability to follow detailed instructions set top performers apart in this role. These skills ensure accurate and consistent feedback, which is crucial for improving AI systems and maintaining quality standards.
What are the most commonly searched types of Ai Rater jobs in Utah? The most popular types of Ai Rater jobs in Utah are:
What are popular job titles related to Virtual Ai Rater jobs in Utah? For Virtual Ai Rater jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Virtual Ai Rater jobs? Cities in Utah with the most Virtual Ai Rater job openings:
Director, Product Management, Platform

Director, Product Management, Platform

NiCE

Sandy, UT โ€ข On-site

$221K - $232K/yr

Full-time

Posted 5 days ago


Job description

Job Summary:
NiCE is a leading software company that excels in AI, cloud, and digital solutions. They are seeking a Director of Product Management to lead the strategy and execution for the CXone platform, focusing on AI-native capabilities and managing a team of Product Managers to drive cross-functional alignment and platform evolution.
Responsibilities:
โ€ข Defining and driving the platform strategy and AI enablement roadmap โ€” including AI-aware extensions to shared services such as the API facade, security and compliance, telemetry, tenant management, and billing framework โ€” to accelerate application teams' time to market for AI-powered features.
โ€ข Leading rapid prototyping and proof-of-concept initiatives with engineering to validate platform service concepts โ€” testing assumptions on scalability, integration patterns, and developer experience before committing to full roadmap investment.
โ€ข Developing and prioritizing product roadmaps and cross-solution backlogs, balancing market demand, customer needs, and business objectives while managing cost margins for a multi-million dollar solution set.
โ€ข Driving spec-driven product development โ€” authoring platform API contracts, service specifications, and integration guides that serve as the primary handoff artifact between product and engineering, ensuring alignment before development begins.
โ€ข Collaborating with platform engineering, security, and application product teams to define requirements, integration patterns, and governance standards for AI services built on or consumed through the platform.
โ€ข Monitoring platform service performance metrics relevant to AI workloads โ€” including API gateway throughput, service reliability, and usage telemetry โ€” to ensure SLA commitments are met for dependent application teams.
โ€ข Driving responsible AI standards at the platform layer โ€” including data privacy controls, audit logging, and compliance guardrails โ€” so that application teams inherit governance by default rather than solving it independently.
โ€ข Developing the AI fluency of the platform product management team โ€” building shared understanding of how AI workloads stress platform services differently, and ensuring PMs can critically evaluate requests from application teams building AI-powered features.
โ€ข Building and maintaining key relationships with strategic partners and representing NiCE CXone as an industry thought leader at customer sites, trade shows, and industry events.
โ€ข Partnering with sales and go-to-market teams to support opportunities, communicate platform capabilities, and respond to customer requirements and escalations.
โ€ข Providing leadership through coaching, feedback, development goals, and performance management; responsible for recruiting and hiring within the department.
โ€ข Reporting on performance metrics and adjusting priorities, staffing, and workloads to ensure efficient operation in alignment with departmental goals and objectives.
Qualifications:
Required:
โ€ข Bachelor's Degree in Computer Science, Business Information Systems, Marketing, or similar field preferred, or equivalent experience; MBA would be a great addition.
โ€ข 12+ years of product management experience with formal product management techniques, tools, and principles for planning and delivering software products and services.
โ€ข Demonstrated experience delivering platform or infrastructure capabilities that enabled engineering teams to build and ship AI-powered products at scale.
โ€ข Fluency in AI/ML concepts sufficient to evaluate how AI workloads impact platform services โ€” including API design, security, scalability, and observability โ€” without needing to write code.
โ€ข Working knowledge of LLM and generative AI capabilities sufficient to anticipate platform needs โ€” including API design considerations, cost attribution, rate limiting, and security implications of integrating AI services into a multi-tenant platform.
โ€ข Experience defining and tracking success metrics for platform services supporting AI workloads โ€” including adoption rates by application teams, time-to-integrate, SLA adherence, and reduction in duplicated AI infrastructure across product lines.
โ€ข Experience with spec-first or API-first development practices, including authoring technical product specifications that bridge product intent and engineering implementation across a shared platform used by multiple application teams.
โ€ข Demonstrated ability to lead through influence, present confidently to customers and co-workers, and engage effectively with technical resources โ€” listening carefully, asking the right questions, and translating technical inputs into product decisions.
โ€ข In-depth knowledge of agile & SCRUM development methodologies and experience with a SaaS product set.
Preferred:
โ€ข Contact center experience with an emphasis on reporting, data usage, and analysis; familiarity with omnichannel and multichannel contact management.
โ€ข Familiarity with conversational AI, virtual agents, or generative AI applications โ€” particularly from the perspective of understanding what shared platform capabilities these features require to scale across a multi-tenant environment.
โ€ข Understanding of AI governance considerations โ€” including data privacy, audit logging, and regulatory requirements (GDPR, CCPA) โ€” as they apply to building compliance capabilities into a shared platform used by multiple application teams.
โ€ข Familiarity with agentic AI workflows and multi-step AI orchestration โ€” to anticipate platform service requirements as application teams begin building autonomous AI-driven features on top of the platform.
โ€ข Experience tracking how platform and infrastructure capabilities are evolving to support AI workloads in enterprise SaaS โ€” including awareness of emerging patterns in multi-tenant AI governance, shared model serving, and developer experience for AI-enabled platforms.
Company:
NICE is a software development company. Founded in 1986, the company is headquartered in Hoboken, USA, with a team of 5001-10000 employees. The company is currently Late Stage.