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Remote Data Evaluation Jobs in Utah (NOW HIRING)

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... specifications, calculations, evaluations, design documents, and performance assessments.

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... specifications, calculations, evaluations, design documents, and performance assessments.

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Remote Data Evaluation information

What is remote data evaluation?

Remote data evaluation is a job where individuals assess, analyze, and interpret data from a location outside of a traditional office setting, often from home. These professionals review various types of data, such as text, images, audio, or user behavior, to ensure quality, accuracy, or to support machine learning models. The work often involves following specific guidelines to categorize or rate data and may be used to improve search engines, AI systems, or digital products. Remote data evaluators typically need strong attention to detail, reliable internet access, and basic technical skills.

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

AspectRemote Data EvaluationRemote Data Entry
Primary RoleAnalyzing and assessing data for accuracy and insightsInputting and updating data into systems
Skills RequiredAnalytical skills, attention to detail, data interpretationTyping speed, accuracy, basic computer skills
Work EnvironmentMostly independent, software-based tasksData input platforms, spreadsheets, databases
Common CertificationsData analysis, quality assuranceBasic computer proficiency, data entry certifications

Remote Data Evaluation involves analyzing data for quality and insights, requiring analytical skills. In contrast, Remote Data Entry focuses on inputting data accurately into systems. Both roles are remote, but they differ in skill requirements and daily tasks, making them distinct career options within the data industry.

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

To thrive as a Remote Data Evaluation Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data science, often supported by a relevant degree. Familiarity with data analysis tools such as Excel, SQL, Python, or specialized evaluation platforms is typically required. Excellent communication, self-motivation, and time management help you effectively collaborate and meet deadlines while working independently. These skills ensure accurate data interpretation, reliable insights, and efficient remote workflow, which are crucial for organizational decision-making.

What are some common challenges faced by professionals in remote data evaluation roles, and how can they be managed?

One of the main challenges in remote data evaluation is maintaining effective communication with team members and stakeholders, especially when working across different time zones. Additionally, ensuring data security and accuracy without in-person oversight can require extra diligence. Professionals can address these challenges by using collaboration tools, establishing clear protocols, and regularly syncing with their teams to align on project goals and data quality standards. Staying organized and proactively seeking feedback can also help remote data evaluators succeed in a distributed work environment.
What are the most commonly searched types of Data Evaluation jobs in Utah? The most popular types of Data Evaluation jobs in Utah are:
What cities in Utah are hiring for Remote Data Evaluation jobs? Cities in Utah with the most Remote Data Evaluation job openings:

Data Science Intern | Fully Remote US

HireVue Inc

Sandy, UT โ€ข Remote

Part-time

Posted 16 days ago


Job description

Company Description

Hirevue is where hiring happens - transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue's end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI,ย Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.

Job Description

As a Data Science Intern, you will support ongoing research initiatives that keep our enterprise products and our clients' hiring processes on the absolute cutting edge and leverage machine learning to shape the future of hiring.

Partnering closely with our world-class data scientists and cross-functional partners in Product Science and Product and Technology, you will have the opportunity to build, validate, and scale machine learning models and agentic workflows. You will also conduct applied research on systems and processes to continuously advance our natural language processing (NLP) and ethical AI capabilities.

Essential Duties and Responsibilities

Applied Research & Modeling

  • Support ongoing research initiatives that keep us on the cutting edge, including in agentic workflow development

  • Work with machine learning models to build products and conduct research

  • Write code to develop prototypes and utilities to extend or improve our product suite

Data Preparation & Quality

  • Drive the preparation of data used to train deep learning models and score unstructured data

  • Assure quality of our software in terms of content, scoring, and functionality

  • Performance modeling and data analysis

Qualifications

Required

  • Bachelor's degree required, with a Master's degree or PhD in progress in a quantitative/programming field (Computer Science, Statistics, Mathematics, Engineering, Psychology, Economics, Data Science, or related)

  • Understanding of statistics, machine learning, and deep learning fundamentals

  • Proficiency in Python, including common ML libraries (e.g., numpy, pandas, scikit-learn)

  • Experience with version control (e.g., Git)

  • Ability to analyze large datasets and draw meaningful, actionable insights

  • Strong problem-solving skills - able to synthesize information from multiple sources to solve problems

  • Team player with strong collaboration and communication skills; comfortable working closely with data scientists, engineers, and I/O Psychologists

  • Self-motivated and able to work effectively with limited supervision; strong prioritization skills

Preferred

  • Awareness of state of the art methods in machine learning, deep learning, NLP, and/or generative AI

  • Exposure to large language models (LLMs) and generative AI (e.g., prompt engineering, fine-tuning, agentic design patterns, agentic evaluation methods)

  • Familiarity with SQL and database querying

  • Familiarity with cloud platforms (AWS preferred) for ML workflows

Additional Information

All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go.ย 

Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data.

Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines.

Hirevue is NOT currently hiring in:

AK, HI, IA, ME, MS, NM or WV.

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