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Ai Data Rater Jobs in New York (NOW HIRING)

Pigment

Senior AI Data Analyst - Sales

New York, NY · On-site

$160/hr

Senior AI Data Analyst - GTM AI & Analytics Team Owns the data strategy powering the global Sales ... Owns dashboards: pipeline generation, coverage, forecast, win rates, sales cycle, quota attainment ...

Pigment

Senior AI Data Analyst - Sales

New York, NY

$160/hr

Senior AI Data Analyst - GTM AI & Analytics Team Owns the data strategy powering the global Sales ... Owns dashboards: pipeline generation, coverage, forecast, win rates, sales cycle, quota attainment ...

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 ...

CVS Health

Lead Data Scientist - Document AI

New York, NY · On-site

$142K - $284K/yr

Act as the data science captain for AI data intake and recommendations, providing hands-on ... rate or base annual full-time salary for all positions in the job grade within which this position ...

Echo IT Solutions, Inc.

AI Product Manager

Jersey City, NJ · On-site

$80/hr

... Rate : $80/hr. W2 Core keywords: · AI product manager, GenAI, LLM, AIRP, AI roadmap, use-case prioritization, product discovery, MVP, pilot, KPIs, adoption, Responsible AI, data product, AI platform ...

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Ai Data Rater information

What is an AI Data Rater job?

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 are the key skills and qualifications needed to thrive in the Ai Data Rater position, and why are they important?

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 are some typical daily responsibilities for an AI Data Rater?

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 July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Executive Director - AI Data Science

Career Renew

New York, NY • On-site

$299K - $409K/yr

Full-time

Posted 18 days ago

Job description

Career Renew is recruiting for one of its clients an Executive Director - AI Data Science - this is an onsite role in Santa Monica or New York.
We are a strategic partner to organizations re-engineering their business around unified intelligence.Helping enterprises move beyond AI adoption to intelligence-led transformation, we deliver connected solutions that maximize output, decision-making, and deliver competitive advantage.

About the Role

As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives across our fixed income and investment banking businesses. Reporting to the Managing Director of AI & Data, you will act as the senior technical leader for the function. You will drive enterprise-critical projects, set technical direction, and mentor a small team of data scientists working on pricing, risk, and capital markets problems.

You will partner closely with traders, bankers, risk leaders, and senior executives to align data science solutions with the firm's commercial priorities, ensuring advanced AI and quantitative methods are adopted responsibly and at scale. This role demands deep technical expertise in both machine learning and the mechanics of fixed income markets, paired with the ability to influence decision-makers and deliver measurable outcomes on the desk and across the enterprise.


Key Responsibilities

  • Lead flagship AI/ML projects that drive measurable value across fixed income trading, credit, rates, and investment banking workflows, from pricing and execution to risk and origination.

  • Direct the development of models for valuing illiquid instruments, forecasting price and spread movements, modeling prepayment and default risk, and analyzing the yield curve and interest rate dynamics.

  • Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation) and on their application to quantitative finance.

  • Translate complex desk-level and banking challenges into enterprise-grade data science solutions with tangible P&L and risk-adjusted ROI.

  • Mentor and guide a small team of data scientists, building technical excellence, modeling rigor, and responsible AI adoption.

  • Partner with trading desks, banking coverage teams, risk, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.

  • Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.

  • Define standards for experimentation, reproducibility, and model governance, consistent with the controls expected in a regulated capital markets environment.

  • Stay ahead of emerging trends in AI/ML and quantitative finance, advising on adoption and firm-wide capability building.

Requirements:
10+ years of experience in data science/ML applied to fixed income or capital markets (Mandatory)
Data science or machine learning background serving enterprise customers and delivering enterprise level impact (Mandatory)
Led projects in fixed income, capital markets, or quantitative finance (Mandatory)
Experience mentoring or managing a small data science team (Mandatory)
Master's or higher in Data Science, Statistics, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline.(Mandatory)
Deep expertise in ML: advanced machine learning, causal inference, deep learning, statistical modeling, and time series analysis (Mandatory)
Hands-on technical depth in Python (or R), cloud-based platforms, and modern ML frameworks (Mandatory)
Working knowledge of fixed income fundamentals: duration, convexity, yield curves, credit spreads, rate models, and the pricing of debt instruments and derivatives (Mandatory)
Experience with Palantir platforms (e.g., Foundry/AIP/Ontology) (Nice-to-have)
Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics (Nice-to-have)
Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) (Nice-to-have)
Proven ability to influence senior stakeholders (MDs, traders, executives) - must be credible to a very senior, technical audience (Mandatory)