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Search Rater Jobs in Alabama (NOW HIRING)

CTR, zero-result rate, latency-feeding the team's A/B experimentation loop. Own the Engineering Bar ... Search systems: Experience with search platforms: * Elasticsearch, OpenSearch, Solr, or Algolia ...

CTR, zero-result rate, latency-feeding the team's A/B experimentation loop. Own the Engineering Bar ... Search systems: Experience with search platforms: * Elasticsearch, OpenSearch, Solr, or Algolia ...

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Search Rater information

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

To thrive as a Search Rater, you need strong analytical thinking, attention to detail, and proficiency in web research, often supported by a high school diploma or higher education. Familiarity with search engines, rating platforms, and sometimes proprietary evaluation tools is typically required. Excellent written communication, time management, and the ability to follow detailed guidelines make someone stand out in this position. These skills are crucial for accurately assessing search engine results and ensuring the quality and relevance of online information.

What are some common challenges Search Raters face, and how can they overcome them?

Search Raters often encounter challenges such as interpreting ambiguous queries, staying updated with evolving guidelines, and maintaining consistency across large volumes of ratings. To overcome these, it's important to regularly review training materials, participate in any available refresher courses, and refer to official documentation when in doubt. Engaging with support forums or team discussions can also help clarify uncertainties and improve accuracy while working independently.

What are Search Raters?

Search Raters are individuals who evaluate the quality and relevance of search engine results. They typically work remotely and are tasked with assessing whether search results meet specific guidelines and match user intent. Their feedback helps improve search algorithms, ensuring users get accurate and helpful information when they search online. Search Raters must follow detailed criteria set by the search engine and often review a variety of content, including web pages, images, and videos.
What are popular job titles related to Search Rater jobs in Alabama? For Search Rater jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Search Rater jobs in Alabama look for? The top searched job categories for Search Rater jobs in Alabama are:
Search Engineer

Full-time

Medical, Retirement, PTO

Posted 13 days ago


Genuine Parts Company rating

6.8

Company rating: 6.8 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

216th of 333 rated retail wholesalers


Job description

Search Engineer (Software Engineer III)
Must be Authorized to work in the U.S. without sponsorship.
ABOUT THE ROLE
We're building intelligent product search that understands intent, learns from behavior, and gets smarter over time. As a Senior Python Engineer on the ML/AI Search team, you'll design and build the backend systems that power product discovery for millions of industrial buyers-from scalable retrieval pipelines to the APIs and interfaces that make AI accessible.
This isn't a research role. You'll own the full lifecycle: prototyping ideas, shipping production-grade services on GCP, and iterating based on real user data. Strong Python engineering is the foundation-if you also bring experience in search systems, vector databases, or Elasticsearch, you'll hit the ground running from day one.
WHAT YOU'LL DO
Build & Ship Search and AI-Powered Systems
  • Design, develop, and deploy production Python services end-to-end-from retrieval and ranking pipelines through client-facing APIs.
  • Build and integrate ML inference pipelines: embedding models, transformer-based classifiers, LLM-powered query understanding, and reranking services.
  • Develop event-driven, real-time architectures using GCP services-Cloud Run, Pub/Sub, GKE, Cloud Functions.
  • Write clean, well-tested, observable Python backends; own your services through deployment, monitoring, and on-call

Contribute to Search Infrastructure
  • Work alongside the Search Architect and ML Architect to implement hybrid retrieval systems combining keyword search, dense vector similarity, and reranking.
  • Build and maintain Elasticsearch indexing pipelines, query services, and relevance tuning tooling.
  • Integrate vector databases (Pinecone, Weaviate, FAISS or similar) into retrieval workflows-even if this is new territory, you'll learn fast.
  • Instrument search pipelines with meaningful metrics: CTR, zero-result rate, latency-feeding the team's A/B experimentation loop.

Own the Engineering Bar
  • Champion CI/CD, observability, testing, and infrastructure-as-code as non-negotiables, not afterthoughts.
  • Lead design sessions with Engineers and Architects; translate product requirements into clean, maintainable technical solutions.
  • Participate in code reviews and knowledge-sharing-actively raising the team's collective skill level.

WHAT YOU BRING
Must-Haves
  • Strong Python foundation: 4+ years of professional backend or full-stack engineering experience with a
  • deep Python focus-async patterns, type annotations, testing, and production-grade service design.
  • Cloud-native experience: Proven experience designing and deploying cloud-native applications (
  • GCP strongly preferred; AWS or Azure considered).
  • Hands-on experience building resilient microservices and RESTful/gRPC APIs.
  • Solid understanding of containerization (Docker), orchestration (Kubernetes), and serverless paradigms.
  • Strong grounding in SOLID design principles and software craftsmanship.
  • Good communicator who thrives in cross-functional, agile teams alongside ML engineers, architects, and product owners.
  • Comfort using AI tools to accelerate development throughput.

Strongly Preferred - Search & ML
You don't need all of these on day one-but the more you bring, the faster you'll contribute:
  • Search systems: Experience with search platforms:
  • Elasticsearch, OpenSearch, Solr, or Algolia-index management, query DSL, relevance tuning.
  • Vector search: Familiarity with vector search concepts and tooling:
  • embeddings, approximate nearest neighbor (ANN), FAISS, Pinecone, Weaviate, or similar.
  • Exposure to ML/AI patterns: RAG pipelines, LLM integration, prompt engineering, or fine-tuning workflows.
  • Experience with AI orchestration frameworks such as LangChain, LangGraph, or Google ADK.
  • Infrastructure-as-code experience (Terraform, Pulumi) and mature CI/CD pipeline ownership.

PHYSICAL DEMANDS:
LICENSES & CERTIFICATIONS: None required.
SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility
BUDGET RESPONSIBILITY: No
COMPANY INFORMATION: Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.
DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time.
Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!
GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

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