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Remote Data Jobs in Layton, UT (NOW HIRING)

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality Rater. In this role, you will help improve how search engines understand and deliver useful results to ...

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Data Entry From Home

Hooper, UT · Remote

$15.50 - $20.75/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

Willard, UT · Remote

$15.75 - $21.25/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

Syracuse, UT · Remote

$16 - $21.25/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

Layton, UT · Remote

$15.50 - $20.75/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

Ogden, UT · Remote

$16.75 - $22.25/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

Clearfield, UT · Remote

$16 - $21.25/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

Salt Lake City, UT · Remote

$16.50 - $22/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

Kaysville, UT · Remote

$15.50 - $20.75/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

Centerville, UT · Remote

$16 - $21.50/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

North Salt Lake, UT · Remote

$16.25 - $21.75/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

Magna, UT · Remote

$16.75 - $22.25/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

Data Entry From Home

South Weber, UT · Remote

$15.75 - $21/hr

Data Entry Specialist (Remote) We're looking for a detail-oriented Data Entry Specialist to join our team from home. In this role, you'll be responsible for accurately inputting, updating, and ...

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Showing results 1-20

Remote Data information

See Layton, UT salary details

$41.8K

$149.9K

$221.2K

How much do remote data jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data in Layton, UT is $149,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $154,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

What are the most commonly searched types of Data jobs in Layton, UT? The most popular types of Data jobs in Layton, UT are:
What job categories do people searching Remote Data jobs in Layton, UT look for? The top searched job categories for Remote Data jobs in Layton, UT are:
What cities near Layton, UT are hiring for Remote Data jobs? Cities near Layton, UT with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Layton, UT as of May 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 46% Physical, 9% Hybrid, and 45% Remote job distribution, with an average salary of $149,930 per year, or $72.1 per hour.
Remote Data Scientist & AI Training Specialist

Remote Data Scientist & AI Training Specialist

DataAnnotation

Salt Lake City, UT • On-site, Remote

$60/hr

Full-time

Posted 18 days ago


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