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Remote Data Translator Jobs (NOW HIRING)

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science ... Stakeholder Translation & Technical Spec Design: Partner closely with business stakeholders to ...

Senior Data Scientist

Chicago, IL · On-site +1

$201K - $248K/yr

This is a remote role with a strong preference for candidates based in SF or NYC . You will report ... GTM collaboration - test trust/translation and move from analysis to action. * Lunch with the team

... are open to remote candidates in other locations. Databricks is looking for a Principal Data ... Executive translation. Translate complex data science findings into clear, actionable narratives ...

Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data ... translation, and execution of defined architectures. Required Skills: Core Technical Expertise ...

Data Systems Analyst

$90K - $120K/yr

... translation of clinical, operational, and business requirements into clear data and system ... Work Environment • Remote • Travel may be required up to 15% locally or nationally Pay ...

Data Systems Analyst

$90K - $120K/yr

... translation of clinical, operational, and business requirements into clear data and system ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency $90 ...

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Remote Data Translator information

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$27.5K

$57.2K

$87.5K

How much do remote data translator jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote data translator in the United States is $57,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,500.00 per year, depending on experience, location, and employer.

How much do Netflix translators get paid?

Netflix translators typically earn between $0.10 and $0.20 per word translated, depending on experience and language complexity. Compensation can also include project-based rates or hourly pay, and proficiency in translation tools and industry standards may influence earnings.

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

AspectRemote Data TranslatorData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; familiarity with data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and analytics software
Work EnvironmentRemote, collaborative teams, client-facing rolesOffice or remote, often within organizations or consulting firms
Industry UsageTech, healthcare, finance, consultingBusiness, marketing, finance, healthcare
Common Search & ComparisonOften compared for data interpretation and communication skillsCompared for data analysis and reporting capabilities

The Remote Data Translator focuses on interpreting complex data into understandable insights for clients or teams, often requiring strong communication skills. Data Analysts primarily analyze data sets to identify trends and generate reports. While both roles work with data, the Remote Data Translator emphasizes translation and communication, whereas Data Analysts focus on analysis and interpretation.

What does a data translator do?

A data translator bridges the gap between data analysts and non-technical stakeholders by converting complex data insights into clear, understandable language. They interpret data findings, ensure accurate communication, and often work with data visualization tools to support decision-making. Strong communication skills and knowledge of data analysis are essential for this role.

How much do remote translators get paid?

Remote data translators typically earn between $20 and $50 per hour, depending on experience, language pairs, and project complexity. Some may also be paid per word or project, with rates varying based on the industry and client requirements.

What is a Remote Data Translator?

A Remote Data Translator is a professional who works from a remote location to interpret, convert, and communicate complex data findings into easily understandable language for non-technical stakeholders. They bridge the gap between data scientists, analysts, and business teams by ensuring that data-driven insights are actionable and clear. This role often involves translating technical jargon, creating visualizations, and helping organizations make informed decisions based on data. Remote Data Translators typically use tools like Excel, Tableau, or Power BI and may collaborate across different time zones and teams.

How does a Remote Data Translator typically collaborate with data scientists and business stakeholders to ensure project success?

A Remote Data Translator acts as a vital bridge between technical data teams and business units. They frequently participate in virtual meetings to gather business requirements, translate them into data-driven objectives, and clarify analytical outcomes for non-technical stakeholders. Effective collaboration involves regular communication, documentation, and feedback loops to ensure that project goals remain aligned and actionable insights are delivered. Building strong relationships remotely can be challenging, but utilizing collaborative tools and maintaining proactive communication are key strategies for success in this role.

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

To thrive as a Remote Data Translator, you need strong analytical abilities, data literacy, and a background in business or data science, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and basic programming or statistical analysis tools is typically required. Excellent communication, problem-solving, and stakeholder management skills help you bridge the gap between technical teams and business users. These skills ensure that complex data insights are accurately interpreted and effectively communicated to support informed decision-making.

Can you work remotely as a translator?

Remote data translators can work from any location with internet access, as their tasks typically involve analyzing and converting data formats digitally. Many employers offer remote positions that require strong communication skills and familiarity with data translation tools, making remote work a common arrangement in this role.
More about Remote Data Translator jobs
What cities are hiring for Remote Data Translator jobs? Cities with the most Remote Data Translator job openings:
What are the most commonly searched types of Data Translator jobs? The most popular types of Data Translator jobs are:
What states have the most Remote Data Translator jobs? States with the most job openings for Remote Data Translator jobs include:
Infographic showing various Remote Data Translator job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $57,200 per year, or $27.5 per hour.
Senior Application Developer - ICTS - Biomedical Informatics

Senior Application Developer - ICTS - Biomedical Informatics

University of Iowa

Iowa City, IA • On-site, Remote

$93K - $129K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 17 days ago


University Of Iowa rating

6.8

Company rating: 6.8 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

410th of 538 rated colleges and universities


Job description

We are seeking a highly skilled Research Application & Data Developer to lead the design, development, and integration of research data and application solutions supporting biomedical and translational research initiatives. This position serves as a senior technical contributor within a collaborative informatics environment and plays a key role in advancing the use of clinical and research data to support discovery, operational efficiency, and improved patient outcomes.

The successful candidate will bring advanced experience working with electronic health record (EHR) data, research data integration, and full-stack application development. This individual will partner closely with researchers, clinicians, analysts, developers, and institutional stakeholders to architect and implement scalable solutions that support data pipelines, data warehousing, research applications, and interoperable data systems.

This role requires strong technical leadership, initiative, and collaboration skills. The ideal candidate must be comfortable independently solving complex problems, mentoring team members, evaluating emerging technologies, and guiding projects from concept through implementation and operational support. Success in this role depends heavily on the ability to build strong working relationships across interdisciplinary teams and contribute effectively in a highly collaborative research environment.

Duties to include but not limited to:

       Independently partner with researchers, clinicians, technical staff, and institutional stakeholders to define functional and technical requirements and recommend scalable solutions.

       Lead technical design and analysis activities for research applications, data integration initiatives, and clinical research systems as assigned.

       Design, develop, deploy, and support applications and data solutions for biomedical and translational research.

       Lead development of data integration workflows, data pipelines, and automation processes supporting research and data warehouse initiatives.

       Lead troubleshooting and resolution of complex application, integration, and data-related issues.

       Propose and improve software maintenance, monitoring, and operational support procedures.

       Lead technical planning activities for assigned projects, including development timelines, implementation phases, resource needs, and technical dependencies.

       Coordinate work across stakeholders, collaborators, and technical teams to ensure successful project delivery.

       Analyze business and research workflows to identify opportunities for technical improvement, automation, and data integration.

       Serve as a functional and technical expert translating research and operational needs into scalable systems and applications.

       Build and foster collaborative relationships across research, clinical, and technical teams.

       Provide technical leadership and guidance across multiple areas of expertise.

For a full job description, please send an e-mail to the contact listed below.

About ICTS: The Institute for Clinical and Translational Science (ICTS) at the University of Iowa was approved by the Iowa Board of Regents in 2007 to support the work of investigators involved in clinical and translational science. Our mission is to accelerate translational science through programs to develop the translational workforce, to promote engagement of community members and other stakeholders, to promote research integration across the lifespan, and to catalyze innovative clinical and translational research. These efforts will lead to the development of novel therapies and healthcare delivery strategies, the integration of translational research and clinical practice, and, ultimately to measurable improvements in the health of Iowa and the nation.

Percent of Time: 100%

Pay Grade: 5B

https://hr.uiowa.edu/pay/guide-pay-plans

Hybrid within Iowa: This position is eligible for a combination of on-campus and remote work. Remote work must be performed within Iowa and will require a work arrangement form to be completed upon the start of your employment. Per policy, work arrangements will be reviewed annually, and must comply with the remote work program and related policies and employee travel policy when working at a remote location.

Benefits Highlights:

-Fringe benefit package including paid vacation; sick leave; health, dental, life and disability insurance options; and generous employer contributions into retirement plans

-For more information about Why Iowa?, click here

Required Qualifications

       A bachelor's degree in computer science, Biomedical Informatics, Data Science, or a related discipline. An equivalent combination of education and related experience may also serve to meet these minimum requirements.

       Minimum of 5 years of professional experience in application development, software engineering, data engineering, or related technical roles

       Strong understanding of data privacy, security, and compliance (e.g., HIPAA)

       Demonstrated experience working with electronic health record (EHR) data, including clinical data extraction, transformation, integration, and support for research or operational use cases

       Experience working with Epic system

       Familiarity with biomedical ontologies and controlled vocabularies such as SNOMED CT, ICD, LOINC, or MeSH

       Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker), orchestration tools (Kubernetes), and CI/CD workflows

       Strong proficiency in two or more programming languages such as Python, Java, C#, R, or similar technologies

       Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker)

       Familiarity with clinical and research data standards (e.g., FHIR, HL7, OMOP, PCORNet)

       Experience with data visualization tools (Power BI, R, Tableau or similar)

       Experience designing and supporting full-stack web applications and data-driven systems

       Experience designing and maintaining relational databases, data models, APIs, and data integration workflows

       Demonstrated experience leading or coordinating technical projects and collaborating across interdisciplinary teams

       Strong understanding of secure application development and data governance practices in healthcare or research environments

       Excellent analytical, problem-solving, organizational, and communication skills

       Demonstrated ability to independently manage priorities and solve complex technical problems

Desirable Qualifications

  • Experience in academic health care, biomedical research
  • Demonstrated interest in learning new technologies and solving complex data problems
  • Experience supporting clinical and translational research programs, including CTSA-related initiatives
  • Experience designing or supporting enterprise data warehouse environments and automated data pipelines
  • Experience working in academic health centers or complex research environments
  • Experience mentoring or providing technical leadership to team members
  • Advanced degree in Biomedical Informatics, Computer Science, Data Science, or related field

Application Process:

In order to be considered for an interview, applicants must upload the following documents and mark them as a "Relevant File" to the submission:

Resume

Cover Letter

Job openings are posted for a minimum of 7 calendar days and may be removed from positing and filled any time after the original posting period has ended.

Successful candidates will be required to self -disclose any conviction history and will be subject to a criminal background check and credential/education verification. Up to 5 professional references will be requested at a later step in the recruitment process.Hybrid within Iowa: This position is eligible for a combination of on-campus and remote work. Remote work must be performed at a location within the state of Iowa and comply with the remote work program and related policies.

For additional questions, please contact Amy Stewart at amy-stewart@uiowa.edu

This position is not eligible for University sponsorship for employment authorization.


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