Top 2041 Machine learning scientist Jobs

Computational Scientist - AI Trainer
DataAnnotation —Columbia, MD
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
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8d
Computational Scientist - AI Trainer
DataAnnotation —Boston, MA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
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5d
Machine Learning Scientist
Saince, Inc. —Alpharetta, GA
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AI & Machine Learning Researcher
Handshake AI —Remote
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Principal Applied Machine Learning Scientist
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- $235,200 - $338,100 a year
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Computer Scientist / Machine Learning Expert
Machine Insight —Winchester, MA
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Machine Learning Scientist - AI Trainer
DataAnnotation —San Diego, CA
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- Computer Science
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- Flexible schedule
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5d
Psychology Specialist - Freelance AI Trainer Project
Meridial —Remote
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Staff Machine Learning Research Scientist
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Senior Machine Learning Scientist
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History Specialist - Freelance AI Trainer Project
Meridial —Remote
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Applied Scientist
Siemens —Bellevue, WA
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- Mid-level
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Philosophy Specialist - Freelance AI Trainer Project
Meridial —Remote
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Anthropology Specialist - Freelance AI Trainer Project
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- Doctor of Philosophy
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Machine Learning Engineer
Harvard University —Boston, MA
- Full-time
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- 3 years
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Machine Learning Scientist 4/5 - Generative Models
Netflix —Remote
- $466,000 - $750,000 a year
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- Doctor of Philosophy
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Machine Learning Scientist 5 - Sales, Ads DSE
Netflix —Remote
- $466,000 - $750,000 a year
- Remote
- Computer Science
- Master's degree
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- Health insurance
Machine Learning Scientist 5 - Ad Ranking
Netflix —Remote
- $466,000 - $750,000 a year
- Computer Science
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AI Learning Scientist
Kira —New York, NY
- $130,000 - $180,000 a year
- Full-time
- Hybrid work
- Background check
- School experience
- Mid-level
- Health insurance
- Dental insurance

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Computational Scientist - AI Trainer

DataAnnotation -
Columbia, MD

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Job Details

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

Benefits

Flexible schedule

Qualifications

Computational research
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 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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