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Search Quality Rater Jobs in Allen, TX (NOW HIRING)

Photon

AgenticAI Workflow Engineer | Onsite

Dallas, TX · On-site

Build evaluation pipelines to measure agent performance, hallucination rates, and task completion ... search, and retrieval optimization techniques. * Experience developing production-quality Python ...

Braviant Holdings

Digital Marketing Manager

Addison, TX · On-site

Own the digital marketing budget across website, SEO/GEO, and paid channels -- monitor performance ... Manage day-to-day updates, new page builds, and QA to keep the site accurate, fast, and on-brand

New

Braviant Holdings

Digital Marketing Manager

Dallas, TX · On-site

Own the digital marketing budget across website, SEO/GEO, and paid channels - monitor performance ... Manage day-to-day updates, new page builds, and QA to keep the site accurate, fast, and on-brand

Asprcmsolutions

Director of Sales, US New

Dallas, TX · On-site

You are not doing this alone: a senior partner joins your deals, our content and SEO engine ... Deal quality * Market presence What we look for: * MANDATORY: one signed deal inside your first 90 ...

talentmovers inc

Application Support Manager

Dallas, TX · On-site

Dallas, TX (Onsite 5 days' work from office) Rate: On C2C Technologies he should know are :(Hands ... Lead and mentor the technical support team in delivering high-quality, responsive support for our ...

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Search Quality Rater information

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$11

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$26

How much do search quality rater jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for search quality rater in Allen, TX is $18.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.34 per hour, depending on experience, location, and employer.

What is a Search Quality Rater?

A Search Quality Rater is a remote, part-time role where individuals evaluate search engine results to ensure they are relevant, accurate, and high-quality. Raters follow specific guidelines provided by companies like Google to assess the usefulness of webpages, videos, and other content based on various queries. Their feedback helps improve search algorithms and overall user experience. While no technical expertise is required, raters must have strong analytical skills, attention to detail, and a good understanding of the assigned language and culture.

What are the key skills and qualifications needed to thrive as a Search Quality Rater?

A Search Quality Rater needs strong analytical skills, attention to detail, and fluency in the assigned language, often requiring at least a high school diploma or equivalent. Familiarity with web browsers, online research tools, and rating guidelines or proprietary evaluation platforms is typically necessary. Self-motivation, time management, and the ability to follow complex instructions are standout soft skills in this position. These capabilities ensure that raters can accurately assess search result quality and contribute to the ongoing improvement of search engine algorithms.

What are the typical work hours and structure for a Search Quality Rater?

Search Quality Rater roles are usually remote, offering flexible and part-time hours that allow you to manage your own schedule within set deadlines. Most raters work independently and are assigned a weekly quota of evaluation tasks based on current project needs. While the job rarely involves direct teamwork or meetings, clear written communication with project managers or coordinators is often part of the process. This structure makes the role appealing for individuals seeking balance with other commitments or supplemental income.

Are search quality rater jobs legit?

Search quality rater jobs are legitimate positions where individuals evaluate search engine results for relevance and accuracy. These roles typically require attention to detail, good language skills, and sometimes specific training, and they are often offered by reputable companies like Google or other tech firms. However, job seekers should be cautious of scams and verify the employer before applying.

How much does a search quality rater make?

Search quality raters typically earn between $12 and $15 per hour, depending on the company and location. The role often involves evaluating search results and requires attention to detail and familiarity with search engine guidelines.

What does a search quality rater do?

A search quality rater evaluates the relevance and quality of search engine results based on specific guidelines. They review search results, assess their usefulness, and provide feedback to improve search algorithms, often working remotely with flexible schedules and using specialized tools. Their assessments help ensure search engines deliver accurate and relevant information to users.

What are popular job titles related to Search Quality Rater jobs in Allen, TX?

For Search Quality Rater jobs in Allen, TX, the most frequently searched job titles are:

What job categories do people searching Search Quality Rater jobs in Allen, TX look for?

The top searched job categories for Search Quality Rater jobs in Allen, TX are:

What cities near Allen, TX are hiring for Search Quality Rater jobs?

Cities near Allen, TX with the most Search Quality Rater job openings:

Search Quality Rater jobs near you
Infographic showing various Search Quality Rater job openings in Allen, TX as of August 2026, with employment types broken down into 46% Full Time, and 54% Part Time. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $38,559 per year, or $18.5 per hour.

AgenticAI Workflow Engineer | Onsite

Dallas, TX • On-site

Photon
IT Services • 1 - 10 employees
Learn more about Photonexternal

Full-time

Re-posted 9 days ago

Job description


Agentic AI Workflow Engineer
We are seeking an Agentic AI Workflow Engineer to design, build, and optimize intelligent AI-driven workflows using Large Language Models (LLMs), AI agents, and enterprise automation frameworks. You will develop agentic applications that can reason, retrieve knowledge, interact with enterprise systems, and automate complex business processes.
The ideal candidate combines strong software engineering fundamentals with hands-on experience in Generative AI application development, agent orchestration, RAG pipelines, prompt engineering, and API integrations.
Technical Stack:
LLMs:
OpenAI GPT, Claude, Gemini, Llama, Mistral, and other open-source LLMs.
Agent Frameworks:
LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen.
Agentic AI Concepts:
Multi-Agent Systems (MAS), Agent Planning, Tool Calling, Memory Management, Human-in-the-Loop (HITL) workflows.
Development:
Python, FastAPI, REST APIs, Async Programming.
RAG & Knowledge Engineering:
Vector Databases, PostgreSQL, pgvector, Redis Vector Search, Elasticsearch, Embeddings, Semantic Search, Retrieval Optimization.
Workflow Orchestration:
LangGraph workflows, Agent State Management, Workflow Automation, Event-driven workflows.
Cloud & Deployment:
AWS/Azure/GCP, Docker, CI/CD pipelines, API deployment.
Tools:
Prompt Engineering, AI Workflow Design, LLM Evaluation, Agent Monitoring, GenAI Optimization.
Key Responsibilities:
  • Develop and orchestrate AI agent workflows using LangGraph, LangChain, and multi-agent architectures.

  • Design agent behaviors including:

  • Goals and instructions

  • Tool usage

  • Reasoning flows

  • Memory management

  • Error handling and recovery

  • Build RAG-based AI applications by integrating enterprise knowledge sources, vector databases, and embedding models.

  • Develop AI agents capable of interacting with enterprise systems through APIs, databases, and external tools.

  • Implement function calling and tool integrations enabling agents to perform real-world actions.

  • Create reusable agent components, workflow templates, and AI automation patterns.

  • Develop backend services and APIs using Python, FastAPI, and asynchronous programming.

  • Optimize prompts, agent workflows, and retrieval strategies to improve:

  • Accuracy

  • Response quality

  • Latency

  • Cost efficiency

  • Implement Human-in-the-Loop workflows for approval-based enterprise processes.

  • Build evaluation pipelines to measure agent performance, hallucination rates, and task completion accuracy.

  • Deploy and monitor GenAI applications using cloud platforms, containerization, and observability tools.

  • Collaborate with AI architects, product managers, and domain teams to convert business processes into agentic AI solutions.

Required Qualifications:
  • 3-6 years of experience in software engineering, AI engineering, or Generative AI application development.

  • Hands-on experience building LLM-powered applications using Python.

  • Strong understanding of:

  • LLM concepts

  • Prompt engineering

  • RAG architecture

  • AI agent workflows

  • Vector search concepts

  • Experience with agent frameworks such as:

  • LangGraph

  • LangChain

  • LlamaIndex

  • Semantic Kernel

  • CrewAI

  • Experience integrating LLM applications with REST APIs, databases, and enterprise systems.

  • Knowledge of vector databases, embeddings, semantic search, and retrieval optimization techniques.

  • Experience developing production-quality Python applications using FastAPI or similar frameworks.

  • Familiarity with Docker, cloud deployment, CI/CD practices, and API security.

  • Understanding of AI evaluation techniques including:

  • Response quality assessment

  • Prompt testing

  • Agent workflow validation

  • Exposure to AI governance concepts:

  • Responsible AI

  • Guardrails

  • Data privacy

  • Prompt injection prevention

Preferred Qualifications:
  • Experience building autonomous AI agents or multi-agent workflows.

  • Experience with enterprise automation, IT operations, customer service, or business process automation use cases.

  • Experience with observability platforms for monitoring AI applications.

  • Contributions to open-source AI frameworks or GenAI projects.

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