2

Remote Data Annotation Analyst Jobs in Houston, TX

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 ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

Showing results 21-40

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 9, 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.

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 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 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?

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 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:
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.

Sr. Salesforce Data Analyst - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

$79K - $100K/yr

Full-time

Re-posted 7 days ago


Job description

NAVA Software solutions is looking for a Sr. Salesforce Data Analyst
Details:
Sr. Salesforce Data Analyst
Remote Project
Duration: 6-12 months
We are seeking a skilled Salesforce Data Analyst who specializes in Business Intelligence (BI) to join our team. In this role, you will be responsible for analyzing Salesforce data to uncover valuable insights, creating reports and dashboards using tools like Power BI and Sigma to visualize key metrics, and developing data models to support BI initiatives. Additionally, you will work closely with business stakeholders to standardize KPI data definitions, establish primary key relationships between Salesforce objects, and build tables that enable our solar sales business to track customer journey metrics and sales representative productivity effectively. Validation against existing manual reporting processes will also be a crucial aspect of this role.
Responsibilities:
  • Analyzing Salesforce data to identify trends, patterns, and insights relevant to our solar sales business.
  • Creating reports and dashboards using tools like Power BI and Sigma to visualize key metrics and performance indicators.
  • Developing data models and schemas to support BI initiatives, ensuring data accuracy and integrity in Snowflake data warehouse.
  • Collaborating with business stakeholders to standardize KPI data definitions and establish clear data analysis objectives.
  • Working with Salesforce objects to define primary key relationships, ensuring data consistency and efficiency.
  • Building tables and structures within Snowflake that allow our solar sales business to track customer journey metrics, including lead conversion rates, sales pipeline stages, and customer acquisition costs.
  • Implementing solutions to track sales representative productivity, including metrics such as lead follow-up times, deal closure rates, and revenue generated per representative.
  • Validating new reporting against existing manual reporting processes to ensure accuracy and consistency.
  • Providing training and support to users on data-related tools and processes, empowering them to leverage Salesforce data effectively for decision-making.

Skills and Qualifications:
  • Proficiency in the Salesforce CRM platform, with a deep understanding of Salesforce data architecture and object relationships.
  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
  • Experience with BI tools such as Power BI and Sigma, with the ability to create compelling visualizations.
  • Knowledge of data warehousing concepts and experience working with platforms like Snowflake.
  • Excellent communication and collaboration skills, with the ability to work closely with business stakeholders.
  • Certification in Salesforce (e.g., Salesforce Certified Administrator, Salesforce Certified Data Architect) is a plus, demonstrating expertise in Salesforce data management and analysis.

NAVA Software Solutions logo

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

Social media