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Ai Prompt Analyst Jobs (NOW HIRING)

ProLegion

AI Prompt & Agent Developer

San Francisco, CA · On-site

$120 - $190/hr

We're hiring an AI Prompt & Agent Developer to own behavioral slice(s) of our voice agents. That ... Analytical and empirical. You are relentlessly data-driven. Before you make changes, you ...

Soothsayer Analytics

Prompt Engineer

Livonia, MI · On-site

$60 - $80/hr

We seek an AI Prompt Engineer with strong analytical skills, excellent reading comprehension, and exceptional attention to detail. You will design, test, and refine prompts for large language models ...

New

Sensi.AI

Prompt Engineer

Austin, TX · On-site +1

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.

Jobright.ai

Junior Threat Context Analyst

Manhattan, NY · On-site

$120 - $180/hr

Microsoft is seeking a Threat Context Analyst to join the Threat Analysis Center (MTAC) to focus on ... Understanding of AI prompt engineering and prompt attack methods (e.g., prompt injection, indirect ...

Sensi.ai

Prompt Engineer

Austin, TX · On-site

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.

OVA.Work

Prompt Engineer

... AI systems. The role involves collaborating with data scientists, product managers, and developers ... • Analyze model outputs and identify patterns, biases, or failure modes. • Develop prompt ...

Bluefish AI

Customer AI Analyst

New York, NY · On-site

As a Customer AI Analyst, you'll work closely with customers to ensure their accounts are ... LLM Prompt Optimization - Design, test, and refine prompts to get high-quality outputs from large ...

Bluefish AI

Customer AI Analyst

New York, NY · On-site +1

As a Customer AI Analyst, you'll work closely with customers to ensure their accounts are ... LLM Prompt Optimization - Design, test, and refine prompts to get high-quality outputs from large ...

Jibe Ventures

Prompt Engineer

Austin, TX · On-site

$110 - $170/hr

AI Sensi.AI is transforming the world of home care through agentic AI - and we're just getting ... Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.

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Ai Prompt Analyst information

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How much do ai prompt analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai prompt analyst in the United States is $42.71, according to ZipRecruiter salary data. Most workers in this role earn between $31.97 and $49.76 per hour, depending on experience, location, and employer.

What is an AI prompt analyst?

An AI Prompt Analyst is a professional who specializes in creating, refining, and evaluating prompts to optimize the performance of artificial intelligence (AI) models, particularly large language models like ChatGPT. They analyze how AI systems respond to different inputs and adjust prompts to achieve more accurate, relevant, and useful outputs. AI Prompt Analysts often collaborate with data scientists, developers, and product teams to improve conversational AI and automate tasks efficiently. Their work is essential for maximizing the effectiveness and reliability of AI applications in various industries.

What are the key skills and qualifications needed to thrive as an AI prompt analyst?

To thrive as an AI Prompt Analyst, you need strong analytical thinking, language proficiency, and a background in computer science or linguistics. Familiarity with AI language models, prompt engineering tools, and data analysis platforms like Python or SQL is typically required. Exceptional attention to detail, creativity, and collaboration skills help set top candidates apart in developing effective AI prompts. These skills are vital for optimizing model performance, ensuring accurate outputs, and driving innovation in AI-driven solutions.

What are some common challenges AI prompt analysts face when collaborating with cross-functional teams?

Ai Prompt Analysts often work closely with engineers, designers, and product managers to refine and optimize AI-generated outputs. A common challenge is translating complex technical concepts into user-friendly prompts while ensuring alignment with project goals. Effective communication and adaptability are essential, as prompt requirements may change rapidly based on user feedback or model updates. Building strong collaboration skills helps Ai Prompt Analysts bridge gaps between technical and non-technical stakeholders, ensuring the success of AI-driven initiatives.

What is the difference between Ai Prompt Analyst vs Data Analyst?

AspectAi Prompt AnalystData Analyst
Required CredentialsRelevant certifications in AI, machine learning, or NLP; often a degree in computer science or related fieldsDegree in statistics, mathematics, or data science; certifications in data analysis tools
Work EnvironmentTech companies, AI startups, or departments focusing on AI content creationBusiness, finance, healthcare, or marketing sectors analyzing data for insights
Employer & Industry UsagePrimarily in AI development, content generation, and NLP projectsAcross industries for data-driven decision making and reporting

While both roles involve working with data and technology, an Ai Prompt Analyst specializes in crafting and optimizing prompts for AI models, focusing on language and AI interaction. A Data Analyst interprets data sets to provide insights and support decision-making. The roles overlap in technical skills but differ in their core focus and application areas.

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Ai Prompt Analyst jobs near you
Infographic showing various Ai Prompt Analyst job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $88,838 per year, or $42.7 per hour.

Product Owner (AI & Prompt Strategy)

INFOSYS NOVA HOLDINGS LLC

Fort Worth, TX • On-site

Full-time

Re-posted 13 days ago

Job description

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*


Location: Dallas, TX (hybrid)


Job Description

We are seeking a Product Owner (AI & Prompt Strategy) to serve as a prompt-development focused leader for conversational AI initiatives. Operating within a Federated Hub-and-Spoke model, you will sit at the orchestration level across work teams to own the company-wide prompt and persona strategy. Partnering closely with the core engineering team and leading a team of Product Analysts, you will drive the parallel development and deployment of voice AI agents across CDL/Sales, Servicing, and Fulfillment.


Key Responsibilities:

· Strategy & Orchestration: Lead the overall product vision for conversational AI agents, owning the company-wide persona, brand voice, and overarching prompt strategy.

· Agent & Sub-Agent Architecture Design: Architect the multi-agent orchestration layer, defining how primary routing agents interpret user intent and seamlessly hand off tasks to specialized, domain-specific sub-agents (e.g., specific agents for Sales vs. Servicing vs. Fulfillment). Establish the logic boundaries, tool access, and context parameters for each sub-agent.

· Iterative Prompt Refinement: Continuously develop, test, and tune complex system prompts, system instructions, and few-shot examples. Optimize these prompts across the AWS tech stack to balance conversational quality, token efficiency, and response latency.

· Prompt Effectiveness Tracking & Analytics: Establish robust tracking frameworks to measure prompt and agent efficacy at a granular level. Monitor specialized metrics such as hallucination rates, contextual accuracy, task completion/containment rates, and user drop-off to drive continuous prompt optimization cycles.

· Stakeholder Alignment: Serve as the central orchestrator across CDL/Sales, Servicing, and Fulfillment teams to negotiate and refine business requirements, ensuring parallel development without technical bottlenecks.

· Testing & Quality Assurance: Define the "Golden Dataset" of test scenarios to feed into engineering’s automated LLM-as-a-judge evaluation pipelines. Oversee structured A/B testing initiatives and data analysis to iteratively optimize agent responses against baseline configurations.

· Performance & ROI: Define product strategy and track ROI by aligning AI agent performance to key business KPIs, including Customer Satisfaction (CSAT) and Average Handle Time (AHT).

· Cross-Functional Collaboration: Partner with the engineering team to integrate prompt designs with the core infrastructure, latency management pipelines, and real-time safety guardrails.


What You’ll Bring

· 5–7 years of Product Management or Product Ownership experience, ideally within mortgage, fintech, or complex customer servicing environments.

· Demonstrated experience with AI/ML products, specifically conversational AI, Large Language Models (LLMs), and deep prompt engineering strategies within an enterprise AWS environment.

· Proven ability to design multi-agent or complex state-machine conversational architectures.

· Strong analytical background with a track record of building effectiveness dashboards, running A/B tests, and utilizing AI-specific metrics (e.g., hallucination tracking, prompt latency) to drive improvements.

· Ability to translate complex business logic into precise technical configurations and natural language flows.

· Exceptional leadership and stakeholder management skills.


Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.