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Remote Data Curation Jobs in Orem, UT (NOW HIRING)

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$98K - $134K/yr

Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

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Remote Data Curation information

See Orem, UT salary details

$38.7K

$112.8K

$154.3K

How much do remote data curation jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data curation in Orem, UT is $112,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $119,500.00 per year, depending on experience, location, and employer.

What is remote data curation?

Remote data curation involves organizing, managing, and maintaining data sets from a remote location, ensuring their accuracy, quality, and usability for various purposes. Data curators work with digital information, often cleaning, annotating, and structuring data to make it more accessible and valuable for organizations or research. This role can include tasks like verifying data integrity, standardizing formats, and documenting metadata, all performed using online tools and collaboration platforms. Remote data curation allows professionals to work from anywhere, supporting projects in fields such as science, business, or technology.

What are the key skills and qualifications needed to thrive as a remote data curator?

To thrive as a Remote Data Curator, you need strong analytical abilities, attention to detail, and a background in information science, data management, or a related field. Familiarity with database systems, data cleaning tools (such as OpenRefine), and metadata standards is typically required, along with experience using collaborative platforms. Excellent communication, organizational skills, and the ability to work independently are crucial soft skills in this remote role. These skills ensure the accuracy, accessibility, and integrity of large datasets, supporting effective data-driven decision-making for organizations.

What are some common challenges faced in a remote data curation role, and how can they be addressed?

One common challenge in remote data curation is ensuring consistent data quality and integrity across distributed teams. Without in-person collaboration, communication gaps can arise, making it important to use clear documentation practices and regular virtual check-ins. Additionally, remote curators often need to be proactive in seeking clarification and feedback to avoid misinterpretation of data standards. Leveraging collaborative tools and maintaining open communication channels can significantly help in overcoming these hurdles and maintaining workflow efficiency.

What is the difference between Remote Data Curation vs Remote Data Entry?

AspectRemote Data CurationRemote Data Entry
Primary FocusAnalyzing, organizing, and maintaining data quality and relevanceInputting and updating data into systems
Required SkillsData analysis, critical thinking, attention to detailTyping accuracy, basic computer skills
Work EnvironmentCollaborative, often involves research and validationIndividual, repetitive tasks
Common CertificationsData management, database certificationsNone typically required

Remote Data Curation involves managing and improving data quality through analysis and organization, while Remote Data Entry focuses on inputting data accurately into systems. Both roles require attention to detail, but data curation demands analytical skills and a deeper understanding of data relevance, making it more complex and strategic compared to the straightforward nature of data entry tasks.

What are popular job titles related to Remote Data Curation jobs in Orem, UT?

For Remote Data Curation jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Remote Data Curation jobs in Orem, UT look for?

The top searched job categories for Remote Data Curation jobs in Orem, UT are:

What cities near Orem, UT are hiring for Remote Data Curation jobs?

Cities near Orem, UT with the most Remote Data Curation job openings:

Remote Data Curation jobs near you

Senior Machine Learning Engineer

Lehi, UT • On-site, Remote

Entrata
Software Development • 1 - 5K employees

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

Good employer

Paid breaks

Recommended by parents

Learn more about Entrataexternal

$144K - $233K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

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 Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management use cases, building reliable model training and evaluation pipelines, and deploying AI systems into production.

Responsibilities
  • Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine-tuning and other post-training techniques.
  • Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model training and evaluation.
  • Develop agentic AI systems that can reason across multi-step workflows, use tools, retrieve context, and operate reliably in production.
  • Build evaluation frameworks and benchmarks to measure model quality, safety, reliability, and task performance.
  • Optimize model inference, serving, and deployment for performance, cost, and scalability.
  • Partner with engineering, product, and data teams to integrate AI capabilities into Entrata products and workflows.
  • Help establish best practices for model experimentation, fine-tuning, evaluation, and deployment.
Minimum Qualifications
  • 5+ years of software engineering or machine learning engineering experience.
  • Hands-on experience fine-tuning, adapting, or deploying large language models.
  • Strong proficiency with Python and PyTorch or similar deep learning frameworks.
  • Experience building ML data pipelines, training workflows, and evaluation systems.
  • Experience deploying machine learning models into production environments.
  • Familiarity with modern LLM tooling, model serving, and inference frameworks.
  • Strong understanding of machine learning fundamentals and model performance tradeoffs.
Preferred Qualifications
  • Experience with supervised fine-tuning, preference optimization, or related post-training techniques.
  • Experience building agentic systems, tool-using models, or retrieval-based AI applications.
  • Experience with distributed training or GPU-based model workloads.
  • Familiarity with frameworks such as vLLM, DeepSpeed, FSDP, or similar technologies.
  • Experience working with enterprise or domain-specific AI applications.
  • Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience.
$144,000 - $233,100 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.
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