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Ai Data Rater Jobs in Pennsylvania (NOW HIRING)

Elsevier

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Geographic differentials may apply in some locations to better reflect local market rates.If ...

RELX

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Geographic differentials may apply in some locations to better reflect local market rates. If ...

Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

UST Global/Comcast - Rate: Up to $60/hr on C2C - Visa: No CPT/OPT; all others considered Key ... AI/ML techniques, including familiarity with frameworks like scikit-learn or TensorFlow, and ...

Vinsari LLC

Data Architect

Reading, PA · On-site

$61.25 - $78.75/hr

Collaborate with cross-functional teams to support AI/ML, advanced analytics, and enterprise ... W2 or Corp- Corp: Expected lowest All Inc Hourly Rate: Hybrid work (Yes/ No)

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Ai Data Rater information

What is an AI data rater?

An AI Data Rater evaluates and rates AI-generated content, such as search engine results, chat responses, or recommendations, to improve machine learning models. They follow specific guidelines to assess relevance, accuracy, and quality. This role helps refine AI systems by providing valuable feedback to enhance their performance. It typically requires strong analytical skills, attention to detail, and familiarity with the subject matter being rated.

What skills and qualifications are needed to thrive as an AI data rater?

To succeed as an AI Data Rater, you need strong analytical skills, attention to detail, and proficiency in evaluating data quality, typically requiring at least a high school diploma or equivalent. Familiarity with computer systems, web browsers, and proprietary rating platforms is often necessary, and training in data privacy or AI guidelines is sometimes provided. Excellent time management, adaptability, and effective written communication help candidates stand out in this largely remote and independent role. These skills ensure accurate data evaluations, support AI improvement, and enable consistent, high-quality performance.

What does an AI data rater do?

As an AI Data Rater, your main responsibilities include reviewing and evaluating various types of data—such as search queries, images, or social media content—according to detailed guidelines provided by your employer. You will typically work independently, using specialized tools or web-based platforms to rate data quality, relevance, or appropriateness. Attention to detail and consistency are important, as your feedback directly impacts the effectiveness of AI systems. Depending on the employer, you may also participate in training sessions or occasional team meetings to stay updated on the latest guidelines or project requirements.

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Infographic showing various Ai Data Rater job openings in Pennsylvania as of August 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 60% In-person, and 40% Remote job distribution.

Data Scientist

Elsevier

Philadelphia, PA • On-site

$103K - $173K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Elsevier rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

30th of 482 rated business services

Job description

Data Scientist
Build AI That Accelerates Scientific Discovery
Do you want your work to help researchers solve humanity's biggest challenges?
At Elsevier, data science is not about building models for the sake of building models. It is about advancing scientific discovery, improving healthcare outcomes, and helping researchers, clinicians, educators, and institutions unlock knowledge that can improve lives around the world.
Every day, millions of scientists rely on our products to discover evidence, connect ideas, validate findings, and advance research. As a Data Scientist, your work will directly contribute to the tools and technologies that help accelerate human progress.
About the Team
As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipline.
About the Role
As a Data Scientist at Elsevier, you will design, develop, and deploy AI and machine learning solutions that power knowledge discovery across the global research ecosystem. You will work with one of the world's richest collections of scientific information, including publications, citations, research datasets, metadata, ontologies, knowledge graphs, and multidisciplinary content spanning every scientific field.
This role combines cutting-edge AI with meaningful impact. You will help build intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable.
What You'll Do
  • Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover, understand, and apply scientific knowledge.
  • Build intelligent retrieval, search, recommendation, ranking, and question-answering systems that improve research outcomes.
  • Develop AI systems that connect information across publications, datasets, citations, knowledge graphs, and scientific ontologies.
  • Fine-tune, evaluate, and integrate large language models and retrieval-augmented generation (RAG) systems into production environments.
  • Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness, and user impact.
  • Build scalable data pipelines and machine learning workflows that support experimentation, monitoring, and continuous improvement.
  • Apply the appropriate combination of classical machine learning, deep learning, retrieval, and generative AI techniques to solve complex scientific problems.
  • Collaborate with engineering, product, UX, analytics, and domain experts to transform ambiguous challenges into practical solutions.
  • Contribute clean, maintainable, production-quality Python code and reusable AI components.
  • Continuously improve the capabilities, performance, and real-world value of AI systems that support scientific discovery.

What We're Looking For
  • Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
  • Extensive Python programming skills and experience building production-quality data science solutions.
  • Experience with machine learning fundamentals, including model development, evaluation, feature engineering, and performance optimization.
  • Experience working with large-scale structured, semi-structured, or unstructured datasets.
  • Hands-on experience with modern AI technologies, including large language models, embeddings, retrieval systems, and generative AI.
  • Familiarity with frameworks such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent tools.
  • Experience evaluating AI outputs and improving model quality, reliability, and business impact.
  • Ability to translate complex problems into measurable, data-driven solutions.
  • A genuine passion for advancing science, improving access to knowledge, and using AI to create meaningful real-world impact.

Why Join Elsevier
Because your work will matter.
You will help build AI systems that support researchers, healthcare professionals, educators, and institutions around the world. Your contributions will help people discover critical evidence, uncover new insights, accelerate innovation, and advance scientific progress. This is an opportunity to work on some of the most challenging and meaningful AI problems anywhere-combining world-class data, cutting-edge technology, and a mission dedicated to improving lives through science and knowledge.
U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $90,900 - $151,700.If performed in New York, the base pay range is $95,300 - $158,900.If performed in New York City, the base pay range is $103,900 - $173,300.If performed in Rochester, NY, the base pay range is $86,600 - $144,400.If performed in New Jersey, the base pay range is $102,333 - $163,467.This job is eligible for an annual incentive bonus.
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