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Ai Data Rater Jobs in New York (NOW HIRING)

UBS

Gen-AI Data Scientist Lead

New York, NY · On-site

$140K - $180K/yr

Your role Are you an analytical thinker who enjoys leveraging data and advanced analytics to ... rate-limited APIs • you're curious to explore how AI can improve how we build, deliver, and ...

Cloud and Things

Data / AI Architect

Manhattan, NY · On-site

$50 - $60/hr

Estimated - 9/14/2026 W2 Hourly Rate: $50 - $60/hr Application Deadline: 8/21/2026 Overview: We are seeking a Data & AI Architect who will support our NYC client. This hands-on architecture role will ...

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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.

What are the most commonly searched types of Ai Data Rater jobs in New York?

The most popular types of Ai Data Rater jobs in New York are:

What are popular job titles related to Ai Data Rater jobs in New York?

For Ai Data Rater jobs in New York, the most frequently searched job titles are:

What job categories do people searching Ai Data Rater jobs in New York look for?

The top searched job categories for Ai Data Rater jobs in New York are:

What cities in New York are hiring for Ai Data Rater jobs?

Cities in New York with the most Ai Data Rater job openings:

Ai Data Rater jobs near you
Infographic showing various Ai Data Rater job openings in New York as of August 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 46% In-person, and 54% Remote job distribution.

AI Data Engineer

QUANTUM TECHNOLOGIES LLC

Manhattan, NY • On-site

$87/hr

Other

Posted 5 days ago

Job description

Job Title: AI Data Engineer

Location: Hybrid

Duration: 10 Months (High Possibility of Extension)

Bill Rate: $87/hr

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization:

USC

GC

H1B

OPT-EAD

Required Qualifications

  • Strong experience in Python application development.
  • Strong background in data engineering, data analytics, BI, or data application development.
  • Experience with cloud platforms and Kubernetes-based application/pipeline deployment.
  • Strong hands-on experience building production-grade data pipelines.
  • Strong understanding of data architecture, data processing, ETL/ELT, and data integration.
  • Experience working with databases, data warehouses, and/or modern data platforms.
  • Experience building data-facing applications or applications that interact directly with data and analytics platforms.
  • Hands-on experience developing LLM-powered applications.
  • Understanding of AI agent/harness engineering patterns and LLM application architecture.
  • Experience working with APIs, databases, data platforms, and enterprise data sources.
  • Cloud development experience with Kubernetes-based deployment.
  • Experience with agentic AI, LLM orchestration, RAG, or tool-using agents.
  • Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
  • Experience with vector databases and retrieval pipelines.
  • Experience integrating LLMs with enterprise data platforms.
  • Experience building dashboards, analytics applications, self-service data applications, or other data-centric user experiences.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Experience with Docker and Kubernetes.
    Equal opportunity Employer :We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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