Top 432 Predictive computational sciences Jobs

Computational Physicist - AI Trainer
DataAnnotation —Portsmouth, NH
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
3d
Computational Physicist - AI Trainer
DataAnnotation —Annapolis Junction, MD
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
3d
Computational Neuroscientist - AI Trainer
DataAnnotation —Alexandria, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
3d
Staff Scientist - Computational Data Sciences Shared Resource
City of Hope —Duarte, CA
- $38.96 - $132.16 an hour
- Full-time
- Computer Science
- Analysis skills
- Math
Computational Associate II - Gerstner Center for Cancer Diagnostics
Broad Institute —Cambridge, MA
- $58,000 - $80,667 a year
- Full-time
- Computer Science
- Bachelor of Science
- Mid-level
- Health savings account
- Paid holidays
Post-Doctoral Associate - Computational Health Sciences Division
University of Minnesota —Minneapolis, MN
- Online Application
- Background check
- Computer Science
- Java
- Vision insurance
Computational Toxicologist
Sciome —Research Triangle Park, NC
- Email
- Computer Science
- English
- Master's degree
Computational Protein Research Associate (Contract)
Zymo Research Corporation —Tustin, CA
- $75,000 - $85,000 a year
- Email
- Computer Science
- Mid-level
- Analysis skills
- Paid holidays
- Health insurance
Quick Apply
Computational Chemist - AI Trainer
DataAnnotation —Westlake, TX
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
3d
AIRx Director, Computational & AI Biologics Design Lead
Takeda Pharmaceutical —Boston, MA
- $177,000 - $278,080 a year
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Mentoring
- Paid holidays
- Disability insurance
Research Senior Scientist, Cheminformatics
Takeda Pharmaceutical —Boston, MA
- $137,000 - $215,270 a year
- Computer Science
- Doctor of Philosophy
- Senior level
- Paid holidays
- Disability insurance
Quantitative Analytics Professional
Freddie Mac —McLean, VA
- $105,000 - $157,000 a year
- Full-time
- Computer Science
- Office
- Master's degree
Quantitative Analytics Tech Lead
Freddie Mac —McLean, VA
- $144,000 - $216,000 a year
- Full-time
- Office
- 3 years
- Finance
7d
Modeling, Analysis & Simulation (MA&S) Engineer
Peraton —Herndon, VA
- $135,000 - $216,000 a year
- Azure
- Computer Science
- 11+ years
- Health savings account
- Paid holidays
Quantitative Analytics Tech Lead – Model Validation
Freddie Mac —McLean, VA
- $144,000 - $216,000 a year
- Full-time
- Office
- 3 years
- Finance
Senior Manager
BMS —Princeton, NJ
- $164,110 - $198,862 a year
- Email
- Hybrid work
- Computer Science
- Master's degree
- SQL
- Paid holidays
- Disability insurance
Quantitative Analytics Tech Lead –Credit Risk Analytics
Freddie Mac —McLean, VA
- $144,000 - $216,000 a year
- Full-time
- Office
- 3 years
- Finance
Data Scientist Mid
General Dynamics Information Technology —Fort Bragg, NC
- $109,403 - $148,017 a year
- Computer Science
- 5 years
- Office
- Paid time off
- 401(k) matching
13d
Director, Mental Health
Foundation for the NIH —North Bethesda, MD
- $185,000 - $225,000 a year
- Full-time
- Hybrid work
- Medicine
- Psychiatry
- Office
3d
Lead Machine Learning Engineer
Disney Entertainment Television —New York, NY
- $179,700 - $225,000 a year
- 7 years
- Computer Science
- Office

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Computational Physicist - AI Trainer

DataAnnotation -
Portsmouth, NH

Quick Apply

Job Details

Part-time | Full-time | Contract
$50 - $100 an hour
3 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 Computational Physicist - 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

predictive computational sciences jobs

Computational Physicist - AI Trainer

Computational Physicist - AI Trainer

Computational Neuroscientist - AI Trainer

Staff Scientist - Computational Data Sciences Shared Resource

Computational Associate II - Gerstner Center for Cancer Diagnostics

Post-Doctoral Associate - Computational Health Sciences Division

Computational Toxicologist

Computational Protein Research Associate (Contract)

Computational Chemist - AI Trainer

AIRx Director, Computational & AI Biologics Design Lead

Research Senior Scientist, Cheminformatics

Quantitative Analytics Professional

Quantitative Analytics Tech Lead

Modeling, Analysis & Simulation (MA&S) Engineer

Quantitative Analytics Tech Lead – Model Validation

Senior Manager

Quantitative Analytics Tech Lead –Credit Risk Analytics

Data Scientist Mid

Director, Mental Health

Lead Machine Learning Engineer

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