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Full Time Remote Ai Jobs (NOW HIRING)

DataAnnotation

$50 - $60/hr

This role allows for part- or full-time, remote work with a starting pay of $50-$60 per hour plus ... AI training and evaluation efforts. #J-18808-Ljbffr

Accelerate Change

N/A Location: Full-time, 100% remote position in the United States (from home or co-working space ... AI Enablement & Responsible Automation * Implement AI Solutions: Identify opportunities to ...

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How much do full time remote ai jobs pay per year?

As of May 29, 2026, the average yearly pay for full time remote ai in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Remote Ai vs Full Time Remote Data Scientist?

AspectFull Time Remote AiFull Time Remote Data Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Data Science, Statistics, or related fields; certifications in Data Analysis/ML
Work EnvironmentRemote, collaborative teams, AI development platformsRemote, data analysis tools, statistical software
Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce
Common Search/ComparisonYesYes

Full Time Remote Ai focuses on developing and implementing artificial intelligence solutions, requiring skills in programming, machine learning, and AI frameworks. Full Time Remote Data Scientist emphasizes analyzing data to extract insights, often involving statistical analysis and data visualization. While both roles are remote and involve data and algorithms, AI roles are more development-oriented, whereas Data Scientists focus on data analysis and interpretation.

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Full Time Remote Ai jobs near you
Infographic showing various Full Time Remote Ai job openings in the United States as of May 2026, with employment types broken down into 24% Full Time, 71% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Remote AI Quantitative Validator

Remote AI Quantitative Validator

DataAnnotation

Madison, WI • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

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 experienced quantitative professionals 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/hour.

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. #datascience #J-18808-Ljbffr

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