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Remote Data Annotation Analyst Jobs in Houston, TX

Initio Capital

Workflow Systems Analyst

Houston, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Posted today

Initio Capital

AI Strategy Analyst

Houston, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Initio Capital

Cloud Strategy Analyst

Houston, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Initio Capital

Digital Product Analyst

Houston, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

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Remote Data Annotation Analyst information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

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

As of Aug 23, 2026, the average yearly pay for remote data annotation analyst in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What is a remote data annotation analyst?

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 are the key skills and qualifications needed to thrive as a remote data annotation analyst?

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.

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 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 most commonly searched types of Data Annotation Analyst jobs in Houston, TX?

The most popular types of Data Annotation Analyst jobs in Houston, TX are:

What are popular job titles related to Remote Data Annotation Analyst jobs in Houston, TX?

For Remote Data Annotation Analyst jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Annotation Analyst jobs in Houston, TX look for?

The top searched job categories for Remote Data Annotation Analyst jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Data Annotation Analyst jobs?

Cities near Houston, TX 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 Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

UKG Data Extraction Specialist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 21 days ago

Job description

NAVA Software solutions is looking for a UKG Data Extraction Specialist
Details:
UKG Data Extraction Specialist
Duration: 6 -12 months
Location: Remote Project
The UKG Data Extraction Specialist will play a crucial role in ensuring the success of the Oracle HCM project, contributing to the seamless integration of data and the achievement of project milestones within the specified timelines.
The data will have to be ready for MOCK load in June and then MOCK 2-3 for final load in December
Responsibilities:
  1. Data Extraction from UKG:
  • Utilize expertise in UKG (Ultimate Kronos Group) systems to extract required data accurately and efficiently.
  • Collaborate with stakeholders to understand specific data extraction requirements for the Oracle HCM project.
  • Must understand the table structures for UKG (the payroll/hr software)
  • Employ best practices to ensure data extraction is performed securely and in compliance with relevant regulations (such as GDPR).
  1. Data Transformation:
  • Analyze extracted data to identify any inconsistencies or anomalies that may require transformation.
  • Develop and implement data transformation processes to ensure compatibility with the Oracle HCM dataload requirements.
  • Ensure data integrity and quality are maintained throughout the transformation process.
  1. Oracle HCM Dataload Preparation:
  • Prepare extracted and transformed data for seamless integration into the Oracle HCM system.
  • Work closely with the 3rd party System Integrator team to understand dataload specifications and requirements.
  • Collaborate with cross-functional teams to resolve any issues or discrepancies that may arise during dataload preparation.
  1. Project Timelines and Deliverables:
  • Adhere to strict project timelines, ensuring data is ready for loads in Q2 and end of year .
  • Proactively identify and communicate any potential delays or challenges that may impact project deadlines.
  • Work efficiently to onboard quickly and ramp up productivity to meet project milestones effectively.

  1. Documentation and Reporting:
  • Maintain comprehensive documentation of data extraction and transformation processes, including any modifications or updates made.
  • Generate regular reports on data extraction progress, transformation efforts, and dataload readiness for project stakeholders.
  • Provide insights and recommendations for process improvements based on data analysis and project feedback.
  1. Collaboration and Communication:
  • Collaborate effectively with internal teams, including HR, IT, and project management, to ensure alignment with project goals and objectives.
  • Communicate regularly with stakeholders to provide updates on data extraction, transformation, and dataload preparation activities.
  • Act as a subject matter expert (SME) on UKG data extraction and Oracle HCM integration, offering guidance and support as needed.
  1. Continuous Learning and Development:
  • Stay updated on industry trends and best practices related to UKG systems, data extraction, and HCM integration.
  • Participate in training sessions and workshops to enhance skills and knowledge in relevant technologies and methodologies.
  • Share insights and expertise with the team to foster a culture of continuous learning and improvement.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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