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Remote Data Analyst Ai Jobs (NOW HIRING)

Zantech

Data Analyst (Remote)

San Antonio, TX · Remote

The Data Analyst will be primarily responsible for Data Analysis, Remote statistical analysis, predictive analytics, data visualization, and Machine learning support and data modeling in support of ...

Zantech

Data Analyst (Remote)

Oklahoma City, OK · Remote

The Data Analyst will be primarily responsible for Data Analysis, Remote statistical analysis, predictive analytics, data visualization, and Machine learning support and data modeling in support of ...

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Remote Data Analyst Ai information

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$34K

$82.6K

$136K

How much do remote data analyst ai jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data analyst ai in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst AI, and why are they important?

To thrive as a Remote Data Analyst AI, you need strong analytical skills, expertise in statistics, and proficiency with data analysis, typically backed by a degree in a quantitative field. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools such as Tableau or Power BI is commonly required. Outstanding problem-solving, attention to detail, and effective communication are vital soft skills for collaborating remotely and presenting insights clearly. These skills and qualifications are important to accurately interpret data, drive actionable recommendations, and succeed in a fast-evolving, distributed work environment.

How does a Remote Data Analyst AI typically collaborate with cross-functional teams while working remotely?

As a Remote Data Analyst AI, you will frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings and shared digital platforms. Effective communication is essential, as much of your work involves translating complex data insights into actionable recommendations for team members in different locations. You'll often use collaboration tools like Slack, project management software, and cloud-based data dashboards to share findings and coordinate tasks. Building strong working relationships virtually can be a challenge, but regular check-ins and clear documentation help ensure alignment and successful project outcomes.

What are Remote Data Analyst AI jobs?

Remote Data Analyst AI jobs involve analyzing large datasets to extract actionable insights, often by applying artificial intelligence and machine learning techniques. These professionals work from home or any remote location, using specialized software to process, visualize, and interpret data trends. They collaborate with businesses to solve complex problems, forecast outcomes, and support data-driven decision-making. Strong analytical, programming, and communication skills are essential for success in this role.

What is the difference between Remote Data Analyst Ai vs Remote Data Scientist?

AspectRemote Data Analyst AiRemote Data Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Google Data AnalyticsBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentRemote, often in analytics teams within various industriesRemote or hybrid, working on complex models and research in tech, finance, healthcare
Employer & Industry UsageBusiness, marketing, finance, healthcare companiesTech firms, research institutions, finance, healthcare
Common Search & ComparisonYesYes

Remote Data Analyst Ai focuses on analyzing data using AI tools to generate insights, often with a focus on business intelligence. Remote Data Scientist involves developing complex models and algorithms to solve advanced problems. While both roles require similar educational backgrounds and work environments, Data Scientists typically handle more technical, research-oriented tasks compared to Data Analysts.

More about Remote Data Analyst Ai jobs
What cities are hiring for Remote Data Analyst Ai jobs? Cities with the most Remote Data Analyst Ai job openings:
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What states have the most Remote Data Analyst Ai jobs? States with the most job openings for Remote Data Analyst Ai jobs include:
What job categories do people searching Remote Data Analyst Ai jobs look for? The top searched job categories for Remote Data Analyst Ai jobs are:
Remote Data Analyst Ai jobs near you
Infographic showing various Remote Data Analyst Ai job openings in the United States as of May 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Health Data Analyst - AI Trainer

Health Data Analyst - AI Trainer

DataAnnotation

Columbia, SC • On-site, Remote

$40/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, starting at $40+ USD per 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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