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Remote Data Annotation Analyst Jobs in Addison, TX

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Hybrid, mostly remote The Healthcare Data Analyst will be a key member of the Analytics Center of Excellence working closely with organizational stakeholders to define, develop, and deliver effective ...

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Reporting Analyst-SR Job Location: Remote (Candidate must be near Salt Lake City, UT; Columbus, OH ... Liaise with internal departments including accounting, marketing, fraud, risk and data management ...

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Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Support Data Governance Lead by independent execution of data & business analysis and research, and ... Remote - United States If this resonates with you, we encourage you to apply, even if you don't ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

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The Manager will partner closely with business stakeholders, analytics teams, data engineering, and IT leadership to embed governance into everyday delivery processes while enabling scalable and ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Soft Skills - Strong analytical and conceptual thinking abilities. - Excellent communication skills ...

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Remote Data Annotation Analyst information

See Addison, TX salary details

$32.9K

$80K

$131.7K

How much do remote data annotation analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote data annotation analyst in Addison, TX is $80,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,900.00 per year, depending on experience, location, and employer.

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

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

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

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

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What cities near Addison, TX are hiring for Remote Data Annotation Analyst jobs? Cities near Addison, TX with the most Remote Data Annotation Analyst job openings:
Infographic showing various Remote Data Annotation Analyst job openings in Addison, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,000 per year, or $38.5 per hour.
Sr. Healthcare Data Analyst - Epic

Sr. Healthcare Data Analyst - Epic

Src

Dallas, TX • On-site, Remote

$85K - $107K/yr

Full-time

Re-posted 15 days ago


Job description

Our patients are our number one priority! We're committed to giving children back their childhood!

Job Posting Title:

Sr. Healthcare Data Analyst - Epic

Location:

Dallas - Hospital

Additional Posting Details:

  • Mon - Fri, 8am - 5pm.
  • Hybrid, mostly remote

Job Description:

The Healthcare Data Analyst will be a key member of the Analytics Center of Excellence working closely with organizational stakeholders to define, develop, and deliver effective business intelligence and analytics solutions. The Analytics team is essential to transforming how organizational data assets are leveraged to deliver meaningful analytics insights and to enable data-driven decision making in support of the organization's clinical, operational, and financial strategy.

Duties/Responsibilities

  • Query healthcare data from multiple sources including electronic medical records, patient experience surveys, claims, and administrative systems to discover meaningful analytical insights for clinical, business, and strategic initiatives.
  • Analyze business requirements and source systems to translate these inputs into technical data specifications and workflows for the design and development of analytical solutions.
  • Design, develop, validate, and monitor reports and dashboards to track key healthcare clinical quality, operational, and financial data.
  • Design, develop, and automate clinical quality and operational performance metrics. Maintain knowledge base of data requirements and measure definitions.
  • Conduct analysis, including benchmarking and performance forecasts, to enable data informed decision making.
  • Perform advanced analytics such as statistical analysis and predictive model development to support clinical and business strategy.
  • Adhere to data management and analytics best practices to ensure timely and accurate delivery of high-quality analytics products.
  • Establish and maintain data dictionaries, metadata, data definitions, release notes, and other documentation that supports organizational data governance and change management.
  • Work closely and collaboratively with multidisciplinary project teams to provide comprehensive analytical support on organizational initiatives. Interpret, explain, and discuss data analysis results with project team. Make data informed recommendations and support strategies for improving healthcare delivery and outcomes.
  • Apply a thorough and methodical approach to analysis and presentation of data results including use of data visualizations. Structure analytical results in an organized, visual manner to tell a meaningful and actionable story. Use effective written and verbal communication skills to present analysis and results to diverse stakeholders.
  • Assess analytics project requirements by performing workflow assessments, capturing business needs, and documenting assumptions, risk, issues, definitions to develop a thorough project plan with realistic goals and timelines.
  • Evaluate data needs of assigned projects, assure data integrity and suitability, and determine data collection methods, metrics definitions and evaluation methods.
  • Prepares and deliver business communications, including meeting agendas, presentations, business reports and project communications plans to effectively meet stakeholder needs and expectations.
  • Coaches and develops other team members, acting as a resource of knowledge and guidance. May supervise and ensure the quality of work performed by others.

Required Skills/Abilities

  • Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required.
  • Master's Degree or higher in a healthcare analytics, computer science, data science, or quantitative based discipline such as economics, epidemiology, statistics, public health, or health services research preferred.
  • 5+ years of relevant healthcare industry experience working in analytics, reporting, business intelligence, or data management role required.
  • 5+ years of experience in data management, data visualization, and analytics using tools such as MS SQL, SSRS, Power BI, Tableau, SAS, or R required.
  • Working knowledge of relational database and data warehouse concepts required.
  • Epic or Workday knowledge required.
  • Working knowledge of MS Office Applications required.
  • Technical project management experience preferred.