Top 200 Data science manager Jobs in Washington, Dc

Data Science Manager - AI Trainer
DataAnnotation —McLean, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
10d
Data Science Manager - AI Trainer
DataAnnotation —Woodbridge, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Data Science Manager, PXT Central Science
Amazon.com LLC —Arlington, VA
- $175,100 - $236,900 a year
- Full-time
- Computer science
- Computer Science
- Master's degree
- AD&D insurance
- Health insurance
Senior Manager, Data Science & Operation Analytics
Xometry —North Bethesda, MD
- $170,000 - $185,000 a year
- Hybrid work
- 7 years
- Management
- Computer Science
- Disability insurance
- Health insurance
Quick Apply
Manager, Data Science - Model Risk Office
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
AI & Data Decision Science Manager - Utilities
Accenture —Arlington, VA
- $87,400 - $293,800 a year
- Full-time
- Azure
- Management
- Computer Science
- Paid holidays
- Disability insurance
8d
Data Analytics and Data Lead- Head Start
JBS International —North Bethesda, MD
- Full-time
- Remote
- Ability to lift 50 pounds
- Analysis skills
- Travel
Quick Apply
Senior Forward Deployed Product Lead-Federal AI Program (US Citizenship/Hybrid)
IvoryCloud —Rockville, MD
- $155,000 - $175,000 a year
- Full-time
- Background check
- Computer Science
- Continuous improvement
- Disability insurance
- Health insurance
Quick Apply
23h
Acquisitions Manager - AI Trainer
DataAnnotation —Alexandria, VA
- $50 - $100 an hour
- Part-time
- Remote
- English
- Mid-level
- Master's degree
Quick Apply
Quantitative Analytics Tech Lead – Model Validation
Freddie Mac —McLean, VA
- $144,000 - $216,000 a year
- Full-time
- Office
- 3 years
- Finance
Acquisitions Manager - AI Trainer
DataAnnotation —Lanham, MD
- $50 - $100 an hour
- Part-time
- Remote
- English
- Mid-level
- Master's degree
Quick Apply
Quantitative Analytics Tech Lead –Credit Risk Analytics
Freddie Mac —McLean, VA
- $144,000 - $216,000 a year
- Full-time
- Office
- 3 years
- Finance
Project Manager
E Logic —Silver Spring, MD
- From $85,000 a year
- Full-time
- 5 years
- SharePoint
- Senior level
Quick Apply
Senior Manager, Machine Learning Engineering
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Senior Manager, Data Science - Model Risk Office
Capital One —McLean, VA
- Email
- Computer Science
- Research
- Office
- Health insurance
Manager, Data Science - Emerging ML
Capital One —McLean, VA
- Email
- Computer Science
- Office
- AWS
- Health insurance
Agentic AI and Data Science Engineering Delivery Manager
Deloitte —Arlington, VA
- $93,200 - $155,400 a year
- Full-time
- Computer Science
- Up to 50% travel
- 5 years
Journeyman Data Manager
AERMOR LLC —Washington, DC
- $140,000 - $175,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Mid-level
- Health insurance
- Dental insurance
10d
Senior Manager, Data Science, Bank Operations
Capital One —McLean, VA
- Email
- Computer Science
- Research
- AWS
- Health insurance
Senior Manager, Data Science - Cash Flow Underwriting
Capital One —McLean, VA
- Email
- Computer Science
- Research
- Office
- Health insurance

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Data Science Manager - AI Trainer

DataAnnotation -
McLean, VA

Quick Apply

Job Details

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

Benefits

Flexible schedule

Qualifications

Software coding
Design of experiments
English
Providing code feedback

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Data Science Manager - AI Trainer to help train AI models. 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.

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. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

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.

Advantages of contracting with us:

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, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
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:

3+ 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 preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (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 science manager jobs in washington, dc

Data Science Manager - AI Trainer

Data Science Manager - AI Trainer

Data Science Manager, PXT Central Science

Senior Manager, Data Science & Operation Analytics

Manager, Data Science - Model Risk Office

AI & Data Decision Science Manager - Utilities

Data Analytics and Data Lead- Head Start

Senior Forward Deployed Product Lead-Federal AI Program (US Citizenship/Hybrid)

Acquisitions Manager - AI Trainer

Quantitative Analytics Tech Lead – Model Validation

Acquisitions Manager - AI Trainer

Quantitative Analytics Tech Lead –Credit Risk Analytics

Project Manager

Senior Manager, Machine Learning Engineering

Senior Manager, Data Science - Model Risk Office

Manager, Data Science - Emerging ML

Agentic AI and Data Science Engineering Delivery Manager

Journeyman Data Manager

Senior Manager, Data Science, Bank Operations

Senior Manager, Data Science - Cash Flow Underwriting

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