Top 2866 Data scientist machine learning Jobs in Remote

Machine Learning Scientist - AI Trainer
DataAnnotation —Tuscaloosa, AL
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Machine Learning Scientist - AI Trainer
DataAnnotation —Reston, VA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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Data Scientist
Epoch AI —Remote
- $30 - $40 an hour
- Part-time
- Remote
- English
- Research
- Entry level
- Flexible schedule
11d
Data Scientist
CHROMEIS —Remote
- Email
- Remote
- Mid-level
- SQL
- Analysis skills
Junior Data Scientist
Wpromote —Remote
- $88,000 - $100,000 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Paid parental leave
- Disability insurance
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Data Scientist
Josh Pros —Remote
- $105,000 - $150,000 a year
- Contract
- Remote
- SQL
- Doctor of Philosophy
- Senior level
Data Scientist - Remote
City of Hope —Remote
- $53.29 - $85.26 an hour
- Full-time
- Remote
- Azure
- System design
- Mid-level
Data Scientist
One Stop Solution Consultancy —Remote
- $70,000 - $95,000 a year
- Temporary
- Remote
- Computer Science
- Mid-level
- 3 years
- Health insurance
- Referral program
Quick Apply
7d
Data Scientist
B.well Connected Health —Remote
- $110,000 - $140,000 a year
- Remote
- HIPAA
- Mid-level
- Analysis skills
Data Mining Scientist
Wilfred Knight —Remote
- Computer science
- Computer Science
- Mid-level
Remote Machine Learning Engineer
Spotter —Lemont, IL
- Remote
- Azure
- Computer Science
- Writing skills
Quick Apply
Healthcare Data Scientist
Pharmaceutical Strategies Group LLC —Remote
- $110,000 - $140,000 a year
- Remote
- Microsoft Outlook
- Computer Science
- HIPAA
- Paid parental leave
- Paid holidays
Quick Apply
Data Scientist
Amgen —Remote
- $134,168.25 - $181,521.75 a year
- Remote
- Computer Science
- DevOps
- 3 years
- Disability insurance
- Health insurance
Machine Learning Engineer
Intone Networks —Remote
- Contract
- Mid-level
- Communication skills
- Python
Data Scientist (Remote)
Inspira Financial Trust, LLC —Oak Brook, IL
- $92,000 - $102,000 a year
- Remote
- Microsoft Outlook
- Computer Science
- Mid-level
- Health savings account
- Paid holidays
Data Scientist II
Indeed —Remote
- $125,000 - $259,000 a year
- Full-time
- Computer science
- 3 years
- Military encouraged
- Paid parental leave
- Paid holidays
Quick Apply
machine learning and LLM
suburban imaging —Remote
- $30 - $40 an hour
- Part-time
- Remote
- Java
- AWS
- Senior level
Quick Apply
Machine Learning Engineer
Glassdoor —Remote
- $118,000 - $245,000 a year
- Full-time
- Computer science
- Mid-level
- Military encouraged
- Health insurance
- Paid time off
Quick Apply
AI Training Generalist (No Prior Experience Needed) - Freelance AI Trainer Project
Meridial —Miami, FL
- $20 an hour
- Remote
- No experience needed
- US work authorization
- Entry level
Data Scientist
Mutual of Omaha —Remote
- $100,000 - $140,000 a year
- Email
- Remote
- Research
- Mid-level
- Master's degree
- Paid holidays
- 401(k)
9d

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Machine Learning Scientist - AI Trainer

DataAnnotation -
Tuscaloosa, AL

Quick Apply

Job Details

Part-time | Full-time | Contract
$50 - $100 an hour

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 Machine Learning Scientist - 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

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