Top 1464 Manager data modeling Jobs

Data Science Manager - AI Trainer
DataAnnotation —Aberdeen, SD
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
2d
Data Science Manager - AI Trainer
DataAnnotation —McLean, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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5d
Senior Manager Data Enablement
Philip Morris International U.S. —Tampa, FL
- $160,000 - $200,000 a year
- Full-time
- Computer Science
- 8 years
- SQL
- Commuter assistance
- Health insurance
Manager, Data Science & Modeling
Merrick Bank —South Jordan, UT
- Full-time
- Office
- Doctor of Philosophy
- Senior level
- AD&D insurance
- Paid holidays
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Senior Manager, Data Scientist - US Card (Generative AI Systems)
Capital One —New York, NY
- Email
- Computer Science
- Research
- Office
- Health insurance
M&A Integration Manager - AI Trainer
DataAnnotation —Del Mar, CA
- $50 - $100 an hour
- Part-time
- Remote
- Mid-level
- Doctor of Philosophy
- Master of Business Administration
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8d
Project Manager - Architect with Oracle E business suite
AHU Technologies Inc —Washington, DC
- $72 - $80 an hour
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Research
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Risk Manager - AI Trainer
DataAnnotation —Del Mar, CA
- $50 - $100 an hour
- Part-time
- Remote
- Spanish
- English
- Mid-level
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8d
Senior Manager, Data Science - Cash Flow Underwriting
Capital One —New York, NY
- Email
- Computer Science
- Research
- Office
- Health insurance
13d
SAS Administration ( Lead)
Sonsoft Inc —Charlotte, NC
- Full-time
- Management
- 3 years
- SQL
Quick Apply
Lead Data Engineer
CGI Group, Inc. —Fairfax, VA
- $113,400 - $223,200 a year
- Writing skills
- Office
- Java
- Paid parental leave
- Paid holidays
Senior Manager, Data Science - FCRM Modeling
TD Bank —New York, NY
- $123,050 - $201,170 a year
- Full-time
- Computer Science
- 5 years
- Office
- Health insurance
- Paid time off
1d
Senior Manager, Machine Learning Engineering
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Lead Machine Learning Engineer
Disney Entertainment Television —New York, NY
- $179,700 - $225,000 a year
- 7 years
- Computer Science
- Office
Lead Software Engineer – Java Data Engineering
Strategic Staffing Solutions —Plano, TX
- $80 - $100 an hour
- Full-time
- Office
- Java
- SQL
- Health insurance
- Dental insurance
Quick Apply
Manager, Data Scientist - Model Risk Office
Capital One —Richmond, VA
- Email
- Computer Science
- Research
- AWS
- Health insurance
Research Data Manager
University of California San Francisco —San Francisco, CA
- Full-time
- Current TB test
- Computer Science
- 3 years
9d
Data Engineering Manager, Product
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- Office
- 8 years
- SQL
- Parental leave
- Flexible schedule
Managers
TransUnion —Remote
- Full-time
- Microsoft Access
- Computer Science
- Mid-level
Manager, Transformation Analytics
Amgen —Remote
- $111,833.65 - $151,304.35 a year
- Remote
- Computer science
- Doctoral degree
- Computer Science
- Disability insurance
- Health insurance
11d

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Data Science Manager - AI Trainer

DataAnnotation -
Aberdeen, SD

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour
2 days ago

Benefits

Flexible schedule

Qualifications

Quantitative applied research
Predictive modeling analysis
Software coding
Writing skills
Design of experiments
English
Predictive analytics projects
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 Data Science Manager - 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

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