Top 923 data scientist Jobs in pearl river ny

Research Scientist - AI Trainer
DataAnnotation —White Plains, NY
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Simulation Engineer - AI Trainer
DataAnnotation —Mount Vernon, NY
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
AI/ML Engineer - Vaccine Research
Pfizer —Pearl River, NY
- $106,000 - $176,600 a year
- Online Application
- Hybrid work
- Computer Science
- System design
- Master's degree
- Paid holidays
- Relocation assistance
Simulation Engineer - AI Trainer
DataAnnotation —Newark, NJ
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Supply Chain Analyst - AI Trainer
DataAnnotation —Greenburgh, NY
- $40 - $60 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
EY —New York, NY
- $106,900 - $200,600 a year
- Azure
- 3 years
- Java
- Paid holidays
- Health insurance
Head of AI Data Science, Intelligence Ventures
SPECTRUM —New York, NY
- $263,200 - $393,800 a year
- 7 years
- Computer Science
- Office
- Opportunities for advancement
Network Planning Data Scientist (Director)
Atlas Air —White Plains, NY
- $191,000 - $258,000 a year
- Hybrid work
- SQL
- Analysis skills
- Bachelor's degree
- Health insurance
- Dental insurance
Senior AI Agents Developers - NEW YORK CITY - $500k+
Park Lane Recruitment —New York, NY
- $500,000 - $1,000,000 a year
- Full-time
- Computer Science
- 5 years
- System design
- Profit sharing
- Disability insurance
Quick Apply
AI Engineer
Macquarie Group Limited —New York, NY
- $154,000 - $175,000 a year
- Full-time
- System design
- Analysis skills
- Senior level
- Paid parental leave
- Health savings account
AI Sr. Developer (Secret Clearance Required)
Deloitte —Jersey City, NJ
- $107,600 - $198,400 a year
- Full-time
- Computer Science
- 5 years
- Travel
7d
Network Planning Data Scientist (Director)
Atlas Air —White Plains, NY
- $191,000 - $258,000 a year
- SQL
- Analysis skills
- Bachelor's degree
Machine Learning Engineer (AI Foundations)
Capital One —New York, NY
- Email
- Azure
- Java
- AWS
- Health insurance
19h
AI Tech Lead
W3Global Inc —New York, NY
- $160,000 - $180,000 a year
- Azure
- System design
- Databases
Quick Apply
3d
Contract Machine Learning Engineer
Atrium —New York, NY
- $75 - $110 an hour
- Contract
- Azure
- Computer Science
- Mid-level
- Health insurance
- Paid time off
Quick Apply
Machine Learning Engineer (Python, Spark)
Rose International —Rutherford, NJ
- $60 - $65 an hour
- Temporary
- Hybrid work
- Computer Science
- 5 years
- Office
AI Lead Engineer, Client Technology - SVP - NYC
Citi —New York, NY
- $176,720 - $265,080 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- System design
- Paid holidays
- Disability insurance
Junior AI Engineer (Open to remote)
Penguin Random House LLC —New York, NY
- $110,000 - $135,000 a year
- Remote
- Children
- APIs
- In-person
- Commuter assistance
- Health savings account
Data Scientist
Phenomenex & Agela —New York, NY
- $74,000 - $111,000 a year
- Full-time
- Remote
- Mid-level
- Master's degree
- SQL
- Health insurance
- Dental insurance
3d
Data Scientist, Product Analytics
Whatnot —New York, NY
- $185,000 - $260,000 a year
- Full-time
- Remote
- Computer Science
- 3 years
- SQL
- Paid parental leave
- Health insurance

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Research Scientist - AI Trainer

DataAnnotation -
White Plains, NY

Quick Apply

Job Details

Part-time | Full-time | Contract
$40 - $60 an hour

Benefits

Flexible schedule

Qualifications

Quantitative applied research
Predictive modeling analysis
Software coding
Writing skills
Design of experiments
English
Providing code feedback

Full Job Description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an experienced Research Scientist - AI Trainer to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to $60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick Apply

Refine Your Search

data scientist jobs in pearl river ny

Research Scientist - AI Trainer

Simulation Engineer - AI Trainer

AI/ML Engineer - Vaccine Research

Simulation Engineer - AI Trainer

Supply Chain Analyst - AI Trainer

AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN

Head of AI Data Science, Intelligence Ventures

Network Planning Data Scientist (Director)

Senior AI Agents Developers - NEW YORK CITY - $500k+

AI Engineer

AI Sr. Developer (Secret Clearance Required)

Network Planning Data Scientist (Director)

Machine Learning Engineer (AI Foundations)

AI Tech Lead

Contract Machine Learning Engineer

Machine Learning Engineer (Python, Spark)

AI Lead Engineer, Client Technology - SVP - NYC

Junior AI Engineer (Open to remote)

Data Scientist

Data Scientist, Product Analytics

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