Top 3198 Machine learning engineer Jobs in Anywhere In Us Remote

Machine Learning Engineer - AI Trainer
DataAnnotation —Washington, DC
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
8d
Senior AI/ML Applied Scientist - Remote
UnitedHealth Group —Bellevue, WA
- $130,000 - $162,500 a year
- Full-time
- Remote
- Computer Science
- Pass drug screening
- 3 years
Machine Learning Engineer - AI Trainer
DataAnnotation —New York, NY
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
8d
Machine Learning Engineer - AI Trainer
DataAnnotation —Massachusetts
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
8d
Machine Learning Engineer - AI Trainer
DataAnnotation —Virginia
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
8d
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
Remote Machine Learning Engineer
Spotter —Lemont, IL
- Remote
- Azure
- Computer Science
- Writing skills
Quick Apply
Machine Learning Engineer I
Indeed —Remote
- $118,000 - $245,000 a year
- Full-time
- Computer science
- Mid-level
- Military encouraged
- Paid parental leave
- Paid holidays
Quick Apply
Machine Learning Engineer
Intone Networks —Remote
- Contract
- Mid-level
- Communication skills
- Python
Machine Learning Engineer
Allocate —Palo Alto, CA
- $165,000 - $185,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Sr. AI/ML Engineer - Remote or Hybrid in Eden Prairie, MN or Irvine, CA
UnitedHealth Group —Eden Prairie, MN
- $120,100 - $214,500 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Pass drug screening
Senior Machine Learning Engineer
Indeed —Remote
- $138,000 - $289,000 a year
- Full-time
- Computer science
- 3 years
- Military encouraged
- Paid parental leave
- Paid holidays
Quick Apply
Research Engineer, Machine Learning Systems
Deepgram —Remote
- $150,000 - $250,000 a year
- Email
- Remote
- Mid-level
Machine Learning Engineer II
Indeed —Remote
- $138,000 - $289,000 a year
- Full-time
- Computer science
- 3 years
- Military encouraged
- Paid parental leave
- Paid holidays
Quick Apply
Senior Machine Learning Engineer
Siemens —Raleigh, NC
- Full-time
- Remote
- Computer Science
- Research
- Master's degree
Machine Learning Engineer
Hang —Los Angeles, CA
- Full-time
- Remote
- Computer Science
- 5 years
- Research
- Health insurance
- Dental insurance
Machine Learning: Natural Language Processing Engineer
Primordial Labs —New Haven, CT
- $120,000 - $180,000 a year
- Call employer
- Remote
- System design
- Mid-level
- US work authorization
- Health insurance
- Paid time off
Machine Learning Engineer II (Servicing ML)
Affirm —San Francisco, CA
- $146,000 - $225,000 a year
- Remote
- Writing skills
- Mid-level
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
Principal Machine Learning System Engineer
Atlassian —Seattle, WA
- $174,051 - $273,775 a year
- Remote
- System design
- Mentoring
- Senior level
- Health insurance
Machine Learning Engineer
Interwell Health —Remote
- Remote
- Computer science
- Azure
- Computer Science

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Machine Learning Engineer - AI Trainer

DataAnnotation -
Washington, DC

Quick Apply

Job Details

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

Benefits

Flexible schedule

Qualifications

Quantitative applied research
Predictive modeling analysis
Software coding
Writing skills
Design of experiments
English
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 Machine Learning Engineer - 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

Refine Your Search

machine learning engineer jobs in anywhere in us remote

Machine Learning Engineer - AI Trainer

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Machine Learning Engineer - AI Trainer

Machine Learning Engineer - AI Trainer

Machine Learning Engineer - AI Trainer

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Machine Learning Engineer I

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Machine Learning Engineer

Sr. AI/ML Engineer - Remote or Hybrid in Eden Prairie, MN or Irvine, CA

Senior Machine Learning Engineer

Research Engineer, Machine Learning Systems

Machine Learning Engineer II

Senior Machine Learning Engineer

Machine Learning Engineer

Machine Learning: Natural Language Processing Engineer

Machine Learning Engineer II (Servicing ML)

Principal Machine Learning System Engineer

Machine Learning Engineer

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