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Remote Search Quality Rater Jobs in Melbourne, FL

L3HHCM20

Principal, Data Engineer

Melbourne, FL · On-site +1

$153K - $284K/yr

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... high quality data solutions within Palantir Foundry. This position will support the company ...

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How much do remote search quality rater jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote search quality rater in Melbourne, FL is $18.90, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $21.39 per hour, depending on experience, location, and employer.

What challenges do remote search quality raters face when evaluating search engine results?

Remote Search Quality Raters often encounter challenges such as interpreting ambiguous queries, staying updated on evolving search guidelines, and ensuring consistency across diverse types of content. Since raters work independently and remotely, time management and self-motivation are crucial to maintain productivity. Additionally, balancing speed with accuracy is essential, as raters are expected to meet quality benchmarks while handling a variety of tasks each day.

What is a remote search quality rater?

Remote Search Quality Raters are individuals hired to evaluate the quality and relevance of search engine results. They work from home, typically on a flexible schedule, and use specific guidelines provided by search engine companies to assess whether search results meet user needs. Their feedback helps improve search algorithms and overall user experience. This role does not involve coding or direct interaction with users, but rather focuses on analyzing and rating search queries, web pages, and advertisements.

What skills and qualifications are needed to be a remote search quality rater?

To excel as a Remote Search Quality Rater, you need strong analytical skills, attention to detail, and proficiency in web research, typically requiring at least a high school diploma or equivalent. Familiarity with search engines, web browsers, and company-specific rating guidelines is crucial, as well as the ability to quickly learn proprietary evaluation platforms. Excellent communication, time management, and self-motivation are important soft skills for meeting productivity targets while working independently. These competencies ensure accurate and consistent evaluations, which are critical for improving search engine algorithms and user experience.
What job categories do people searching Remote Search Quality Rater jobs in Melbourne, FL look for? The top searched job categories for Remote Search Quality Rater jobs in Melbourne, FL are:
What cities near Melbourne, FL are hiring for Remote Search Quality Rater jobs? Cities near Melbourne, FL with the most Remote Search Quality Rater job openings:
Remote Search Quality Rater jobs near you
Infographic showing various Remote Search Quality Rater job openings in Melbourne, FL as of August 2026, with employment types broken down into 35% Full Time, and 65% Part Time. Highlights an 100% Remote job distribution, with an average salary of $39,317 per year, or $18.9 per hour.

Principal, Data Engineer

L3HHCM20

Melbourne, FL • On-site, Remote

$153K - $284K/yr

Full-time

Medical, Retirement, PTO

Posted 26 days ago

Job description

Job Title: Principal, Data Engineer 

Job Code: 41066

Job Location: Melbourne, FL; or Remote Opportunity 

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Architect with experience in managing enterprise-level data life cycle processes. This individual will play a critical role in shaping our data architecture, ensuring the integrity, scalability, and efficiency of our systems. This includes overseeing data ETL/ELT pipelines, ensuring adherence to data and architectural standards, maintaining data frameworks, and ensuring data consolidation in our ontology or semantic layer. The selected individual will partner closely with development teams to design, review, and implement high quality data solutions within Palantir Foundry.

This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company's data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor's Degree and minimum 12 years prior Palantir experience or Graduate Degree and a minimum of 10 years of prior Palantir experience In lieu of degree, minimum 16 years of prior Palantir experience
  • 5+ years of experience as a data architect or in a senior data engineering role, ideally supporting enterprise-scale data and analytics platforms
  • 4+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
  • 5+ Years of overall Data Integration experience in Palantir Foundry or similar data integration tools

Preferred Additional Skills:

  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL 
  • Experience architecting Palantir Foundry platforms to enable Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration 
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst  
  • Demonstrated understanding of how Foundry's Ontology, operational workflows, and governed data assets enable AI-driven business and manufacturing solutions
  • Familiarity with SDLC processes and architecture review or data governance board processes
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $153,000-$284,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $133,000-$247,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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