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Search Quality Rater Jobs in Philadelphia, PA (NOW HIRING)

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

... search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and ... Geographic differentials may apply in some locations to better reflect local market rates.If ...

... KPIs (engagement rates, lead submissions, and behavior), Google Analytics, Search Engine ... Personal qualities and style requirements include possessing high energy, enthusiasm, resilience ...

... KPIs (engagement rates, lead submissions, and behavior), Google Analytics, Search Engine ... Personal qualities and style requirements include possessing high energy, enthusiasm, resilience ...

Guaranteed daily rate along with production based compensation * Full control over treatment plan ... GPAC (Growing People and Companies) is an award-winning search firm specializing in placing quality ...

Showing results 21-40

Search Quality Rater information

See Philadelphia, PA salary details

$12

$20

$28

How much do search quality rater jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for search quality rater in Philadelphia, PA is $20.11, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.07 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 the most commonly searched types of Search Quality Rater jobs in Philadelphia, PA?

The most popular types of Search Quality Rater jobs in Philadelphia, PA are:

What are popular job titles related to Search Quality Rater jobs in Philadelphia, PA?

For Search Quality Rater jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Search Quality Rater jobs in Philadelphia, PA look for?

The top searched job categories for Search Quality Rater jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Search Quality Rater jobs?

Cities near Philadelphia, PA with the most Search Quality Rater job openings:

Infographic showing various Search Quality Rater job openings in Philadelphia, PA as of August 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $41,830 per year, or $20.1 per hour.

Senior ML Ops Engineer

RELX Group plc

Philadelphia, PA • On-site

$112K - $179K/yr

Full-time

Re-posted 26 days ago


Job description

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization?
Are you looking to drive cutting edge products that have a true societal impact?
About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes.
About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality.
Key Responsibilities
ML & LLM Engineering, Search and Recommendation Engines
  • Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI).
  • Maintain and version model registries and artifact stores to ensure reproducibility and governance.
  • Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment.
  • Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML.
  • Scale end-end custom Sagemaker pipelines.
  • Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted.
  • Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs .
  • Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing.
  • Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization.
  • Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems.

Collaboration
  • Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions
  • Collaborate and interface with Operations Engineers who deploy and run production infrastructure.

Qualifications
  • Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.
  • Strong Python, Java, and/or Scala experience will be considered a plus.
  • Hands-on- experience with major cloud vendor solutions (AWS, Azure and/or Google)
  • Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j).
  • Experience in evaluating LLM models.
  • A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics.
  • Background in health technology and/or medical content workflows is preferred.
  • Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark.
  • Experience with large-scale data processing systems, e.g., Spark.
  • Experience with statistical analysis, machine learning theory and natural language processing.

Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.
U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826.This job is eligible for an annual incentive bonus.
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