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Remote Data Annotation Analyst Jobs in Texas (NOW HIRING)

Lantern

Operations Data Analyst

Dallas, TX · On-site +1

Operations Data Analyst As the Operations Data Analyst for the Outbound Program, you will support ... Location : Remote | USA | Full-time | Preference for Hybrid in Dallas, TX, New York, NY and ...

Polk Mechanical

Data Analyst

Grand Prairie, TX · On-site

Ability to translate raw data into clear, actionable insights for stakeholders * Strong knowledge ... Remote position * No employment visa sponsorship available Equal Opportunity Employer/Protected ...

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Remote Data Annotation Analyst information

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 are the most commonly searched types of Data Annotation Analyst jobs in Texas? The most popular types of Data Annotation Analyst jobs in Texas are:
What are popular job titles related to Remote Data Annotation Analyst jobs in Texas? For Remote Data Annotation Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Texas look for? The top searched job categories for Remote Data Annotation Analyst jobs in Texas are:
What cities in Texas are hiring for Remote Data Annotation Analyst jobs? Cities in Texas with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in Texas as of June 2026, with employment types broken down into 2% As Needed, 70% Full Time, 24% Part Time, 2% Temporary, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.

Operations Data Analyst

Lantern

Dallas, TX • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Operations Data Analyst

As the Operations Data Analyst for the Outbound Program, you will support the day-to-day data and reporting needs of the outbound Care Advocate team. You will compile, organize, and analyze operational data to help leadership and the team understand performance, identify trends, and make informed decisions. Working closely with the leadership team, you will support the reporting infrastructure and provide ongoing data support as the program grows. This role is a great fit for someone who is detail-oriented, eager to learn, and excited to contribute to a fast paced, growing operation.

Location: Remote | USA | Full-time | Preference for Hybrid in Dallas, TX, New York, NY and Washington, DC

Responsibilities:

Data Collection & Reporting

  • Pull, compile, and organize operational data from CRM systems, dialer platforms, and other contact center tools on a regular cadence
  • Build and maintain dashboards and reports that track key outbound program metrics including contact rates, conversion, call volume, and advocate productivity
  • Deliver daily, weekly, and monthly performance reports to the leadership team
  • Ensure data accuracy and consistency across all reports and tracking tools

Performance Analysis & Insights

  • Analyze team and individual advocate performance data to identify trends, patterns, and areas of opportunity
  • Support the leadership team with data requests, ad hoc analyses, and performance deep dives
  • Help translate data findings into clear, easy-to-understand summaries for leadership and non-technical stakeholders
  • Flag data anomalies or performance concerns to leadership in a timely manner

Reporting Infrastructure & Process Support

  • Assist in building and maintaining the reporting infrastructure and data tracking processes for the outbound program
  • Develop and maintain tracking tools, spreadsheets, and reporting templates that support program operations
  • Identify opportunities to streamline data collection and reporting processes and recommend improvements
  • Document data definitions, reporting processes, and data sources to ensure consistency and continuity

Collaboration & Program Support

  • Work closely with the leadership team to align reporting with program goals and performance standards
  • Respond to data requests from cross-functional partners in a timely and accurate manner
  • Support special projects and initiatives requiring data analysis or reporting as assigned
  • Other duties and responsibilities as assigned

Requirements:

  • Bachelor's degree in Business, Data Analytics, Statistics, Healthcare Administration, or a related field preferred; equivalent experience considered
  • 2-3 years of experience in a data, reporting, or operations support role required; contact center or healthcare experience a plus
  • Exposure to or experience working with AI tools, automation platforms, or emerging analytics technologies a plus
  • Proficiency in Microsoft Excel or Google Sheets, including pivot tables, formulas, and data visualization
  • Experience with or exposure to CRM systems, reporting dashboards, or BI tools (e.g., Tableau, Power BI) preferred
  • Strong attention to detail with a commitment to data accuracy and consistency
  • Ability to manage multiple reporting tasks and deadlines in a fast-paced environment
  • Clear written and verbal communication skills with the ability to present data findings to non-technical audiences
  • Eagerness to learn, grow, and take on increasing responsibility over time
  • Ability to work independently and collaboratively within a small, cross functional team
  • Knowledge of healthcare, insurance, or contact center operations a plus 

Strong Candidates will:

  • Be naturally detail-oriented and take pride in accurate, clean, well-organized data
  • Be comfortable working with large data sets and eager to develop their analytical skills in a real-world environment
  • Communicate findings clearly - able to turn numbers into a story that non technical teammates can act on
  • Be proactive and self-directed, taking ownership of recurring reports and flagging issues without being asked
  • Be excited to help establish and continuously improve reporting processes
  • Bring curiosity and a continuous improvement mindset to every dataset they touch 

 Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Short & Long Term Disability
  • Life Insurance
  • 401k with company match
  • Paid Time Off
  • Paid Parental Leave

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