2

Back Office Remote Data Entry Jobs in Sandy, UT (NOW HIRING)

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ... Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to ...

Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ... Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to ...

Remote Employment Type: Full-time Advertised Compensation: Base $26.50/hour, OTE $80K - 125K ... data entry and quoting. You'll also identify and cross-sell other insurance lines, to deliver ...

Remote Employment Type: Full-time Advertised Compensation: Base $26.50/hour, OTE $80K - 125K ... data entry and quoting. You'll also identify and cross-sell other insurance lines, to deliver ...

Enhanced Registrar

Riverton, UT · On-site +1

$18.85 - $25.61/hr

Data entry or clerical experience in a medical office setting. * Working knowledge of medical ... If applying for a remote or hybrid role, this includes remote work expectations related to ...

... data entry, research, and problem-solving purposes. * Valid driver's license and access to a personal, insured vehicle. Working Environment: * A combination of standard office environment, remote ...

Showing results 41-60

Back Office Remote Data Entry information

See Sandy, UT salary details

$10

$18

$26

How much do back office remote data entry jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for back office remote data entry in Sandy, UT is $18.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.77 per hour, depending on experience, location, and employer.

What is a back office remote data entry?

A Back Office Remote Data Entry job involves inputting, updating, and maintaining information in digital systems from a remote location. Employees in this role typically handle tasks such as entering customer or product data, verifying accuracy, and organizing digital files. These jobs support the operational needs of a company but do not involve direct customer interaction. Remote data entry positions often require attention to detail, proficiency with computers, and the ability to work independently. They are popular for offering flexible work arrangements and the ability to work from home.

What are the key skills and qualifications needed to thrive as a back office remote data entry professional?

To thrive as a Back Office Remote Data Entry professional, you need excellent typing skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel or Google Sheets), data management systems, and sometimes workflow tools is typically required. Strong organizational skills, reliability, and the ability to work independently make someone stand out in this position. These skills ensure accurate and timely data processing, which is vital for the smooth operation and decision-making of a business.

What are some common challenges faced in a remote back office data entry role, and how can they be managed?

One common challenge in a remote back office data entry position is maintaining focus and accuracy while working independently for extended periods. Distractions at home and lack of immediate supervision can impact productivity, so setting up a dedicated workspace and following a structured daily routine are helpful strategies. Additionally, clear communication with supervisors and colleagues through collaboration tools is essential to clarify tasks and address any uncertainties promptly. Regular self-checks and using data validation tools can also help minimize errors and ensure high-quality work.

What job categories do people searching Back Office Remote Data Entry jobs in Sandy, UT look for?

The top searched job categories for Back Office Remote Data Entry jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Back Office Remote Data Entry jobs?

Cities near Sandy, UT with the most Back Office Remote Data Entry job openings:

Infographic showing various Back Office Remote Data Entry job openings in Sandy, UT as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $38,490 per year, or $18.5 per hour.

Senior Data Scientist

Entrata

Lehi, UT • On-site, Remote

$133K - $213K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies


Job description

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI models and applications. This role will focus on fine-tuning strategy, training data, experimentation, evaluation, and identifying the approaches that produce the best outcomes for complex property management workflows.

Responsibilities:
  • Fine-tune and evaluate foundation models for Entrata-specific use cases using supervised fine-tuning and other post-training methods.
  • Design and curate high-quality training datasets, including instruction data, preference data, and synthetic data.
  • Develop evaluation frameworks and benchmarks to measure model accuracy, reasoning, reliability, and task performance.
  • Conduct experiments to determine which models, datasets, prompts, and training approaches perform best for specific use cases.
  • Perform model error analysis and identify opportunities to improve model behavior and output quality.
  • Partner with machine learning engineers to move successful experiments into production.
  • Develop approaches for measuring and improving model safety, consistency, and enterprise readiness.
  • Translate business and product problems into measurable machine learning objectives.
Minimum Qualifications:
  • 5+ years of experience in data science, machine learning, applied AI, or a related field.
  • Hands-on experience working with large language models, including fine-tuning, evaluation, or model adaptation.
  • Strong proficiency in Python and common machine learning frameworks.
  • Experience designing experiments, analyzing model performance, and working with large datasets.
  • Strong understanding of supervised learning, model evaluation, and statistical analysis.
  • Experience building or evaluating machine learning systems in production environments.
  • Ability to communicate technical findings clearly to engineering, product, and business stakeholders.
Preferred Qualifications:
  • Experience with supervised fine-tuning, preference optimization, or other LLM post-training techniques.
  • Experience creating synthetic training data or model-generated datasets.
  • Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement systems.
  • Familiarity with agentic AI systems, tool use, and retrieval-based applications.
  • Experience working with enterprise, financial, legal, operational, or other domain-specific AI applications.
  • Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
$133,100 - $213,200 a year
This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
 
Level - P4
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.

Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.

HSA/FSA options and employer-paid disability benefits provided for eligible employees.

Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.

Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.

Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.

Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.

Bi-annual swag drops for employees

Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles. 

Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.

It's a great place to work! Will you join us?

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

What Entrata employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom