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Ai Rater Jobs in Florida (NOW HIRING)

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97.60K - $134K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97.60K - $134K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our ...

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99.90K - $137.20K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our ...

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98.80K - $135.60K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our ...

AI Azure Developer

Deerfield Beach, FL · On-site

$52.75 - $65.50/hr

AI Azure Developer Location: On-site, 3 days is a must in Deerfield; they have some flex on the ... Do you rate yourself a mid or senior-level Azure developer? How long has it been since you have ...

AI Azure Developer

Deerfield Beach, FL

$53.25 - $66/hr

AI Azure Developer Location: On-site, 3 days is a must in Deerfield, FL ; they have some flex on ... Do you rate yourself a mid or senior-level Azure developer? How long has it been since you have ...

AI Azure Developer

Deerfield Beach, FL · On-site

$52.75 - $65.50/hr

AI Azure Developer Location: On\-site, 3 days is a must in Deerfield; they have some flex on the ... Do you rate yourself a mid or senior\-level Azure developer? How long has it been since you have ...

Lead AI Engineer

Miami, FL · Hybrid

$85 - $95/hr

About the Role We are seeking a Lead AI Engineer to define and drive the architecture of an ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

AI/ML Engineer

Juno Beach, FL · On-site

$111.90K - $134.40K/yr

Implement AI/ML integration with Salesforce and other enterprise platforms * Support model ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

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Ai Rater information

What is an AI Rater job?

An AI Rater evaluates and provides feedback on artificial intelligence models, typically improving search engines, chatbots, or recommendation systems. They assess the relevance, accuracy, and quality of AI-generated content based on specific guidelines. This role requires strong analytical skills, attention to detail, and familiarity with the subject matter being reviewed. AI Raters often work remotely and on a flexible schedule.

What are the key skills and qualifications needed to thrive in the Ai Rater position, and why are they important?

To thrive as an AI Rater, you generally need strong attention to detail, analytical thinking, and proficiency in English, often supported by formal education such as a high school diploma or higher. Familiarity with web browsers, online research, and company-specific rating platforms or guidelines is essential. Excellent time management, adaptability, and effective written communication help individuals excel in this position. These skills and qualities ensure accurate and consistent evaluations of AI-generated content, directly impacting the improvement of artificial intelligence systems.

What does a typical day look like for an AI Rater?

A typical day for an AI Rater involves reviewing and evaluating various types of content, such as search engine results, social media posts, advertisements, or chatbot responses, to ensure they meet quality and relevancy standards. You may follow detailed guidelines to rate or annotate content, complete assigned tasks in a web-based platform, and provide feedback to help improve AI performance. Most positions are remote and offer flexible schedules, allowing you to plan your workload around personal commitments. Collaboration is generally limited, as most work is performed independently, but periodic communication with team leads for training or updates is common.
What are the most commonly searched types of Ai Rater jobs in Florida? The most popular types of Ai Rater jobs in Florida are:
What cities in Florida are hiring for Ai Rater jobs? Cities in Florida with the most Ai Rater job openings:
Infographic showing various Ai Rater job openings in Florida as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Senior Agentic (AI) Engineer

Worth AI

Orlando, FL • On-site, Remote

$97.60K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams.

Responsibilities
  • Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring.
  • Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks.
  • Build the retrieval layer powering our agents - chunking, hybrid search, reranking, and grounded citation.
  • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage.
  • Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product.
  • Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents.
  • Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture - auditability and explainability built in, not bolted on.
  • Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.
  • Technology Stack
    • Languages: Python, Node.js, TypeScript
    • Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP, OpenAI SDK
    • Models: Anthropic Claude, OpenAI, open-weight where appropriate
    • Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis
    • Infra: AWS, Kubernetes (EKS), ArgoCD, Terraform
    • Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog

Requirements

  • 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems (not just notebooks or demos).
  • Hands-on experience with a modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that run, fail gracefully, and recover.
  • Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment about when RAG isn't the right answer.
  • Real eval experience golden sets, offline and online evaluations, used to make ship/no-ship calls.
  • Production MLOps fluency: deployed LLM workloads under real latency, cost, and reliability constraints.
  • Strong Python; comfortable in TypeScript / Node.js.
  • Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system failure modes.
  • Calibrated communicator; thrives in ambiguous, fast-moving environments.
  • Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML.
  • Experience building MCP servers or other structured tool interfaces for LLMs.
  • Background in classical ML (ranking, scoring, calibration).
  • Experience designing explainable / auditable AI workflows for regulated environments.
  • Open-source contributions to agent frameworks, eval tooling, or retrieval libraries.
  • AWS depth (EKS, MSK, RDS, S3, Lambda) and IaC with Terraform.
Success Metrics
  • Agent Quality: Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our eval suites.
  • Production Reliability: Agents you own meet defined SLOs for latency (P90/P99), tool-call success, and cost per task.
  • Velocity: New agent capabilities go from prototype to production in weeks, without skipping evals or guardrails.
  • Risk Posture: Zero material incidents tied to prompt injection, PII leakage, or unsafe tool use on agents you own.
  • Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering.

All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Flexible Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Remote
  • Hybrid work (for Orlando Associates)
  • Free Food & Snacks (Orlando)
  • Wellness Resources