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Flexible Data Annotation Analyst Jobs in Spring, TX

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Some of the benefits we offer include parental (including paternal) leave, flexible work schedules ...

Data Analyst

Houston, TX · Hybrid

$66K - $106K/yr

What We Offer: - Competitive salary with performance-based bonuses. - Opportunities for career advancement and continuous learning. - A supportive, remote-first work environment with flexible working ...

Showing results 21-40

Flexible Data Annotation Analyst information

See Spring, TX salary details

$30.3K

$73.5K

$121K

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

As of Aug 2, 2026, the average yearly pay for flexible data annotation analyst in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Flexible Data Annotation Analyst, you need keen attention to detail, analytical thinking, and a basic understanding of data labeling processes, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Prodigy, or similar platforms, as well as basic proficiency in spreadsheet software, is typically required. Strong time management, adaptability, and clear communication skills help you deliver accurate results and work effectively with remote teams. These abilities ensure high-quality, consistent data labeling that is critical for training reliable machine learning models.

How does a Flexible Data Annotation Analyst typically collaborate with other teams to ensure data quality?

As a Flexible Data Annotation Analyst, you will frequently interact with data scientists, machine learning engineers, and project managers to clarify annotation guidelines and resolve ambiguities in the data. Collaboration often involves participating in virtual meetings, providing feedback on annotation tools, and reporting inconsistencies or uncertainties encountered during the labeling process. This teamwork ensures that annotated datasets meet project standards and contribute to high-quality machine learning outcomes. Regular communication and openness to feedback are key to success in this collaborative environment.

What is a Flexible Data Annotation Analyst?

A Flexible Data Annotation Analyst is a professional responsible for labeling, categorizing, and tagging data—such as text, images, audio, or video—to prepare it for use in machine learning and artificial intelligence projects. The 'flexible' aspect typically means the role allows for remote work, adjustable hours, or project-based assignments. Analysts use specific tools and follow detailed guidelines to ensure data quality and consistency. This role is crucial for training accurate AI models, as well-annotated data helps improve the performance of automated systems.
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What cities near Spring, TX are hiring for Flexible Data Annotation Analyst jobs? Cities near Spring, TX with the most Flexible Data Annotation Analyst job openings:

$90K - $100K/yr

Full-time

Dental, Vision, Life, Retirement

Posted 17 days ago


Job description

About PureWay
PureWay Compliance is a national healthcare and environmental compliance company specializing in regulated waste collection, logistics, fulfillment, transportation coordination, and compliance solutions. We support healthcare providers, pharmacies, government agencies, and commercial customers through a nationwide network of warehouses, transportation partners, and service providers.
We are seeking a highly analytical Senior Data Analyst to transform complex business data into actionable insights that drive executive decision-making across Sales, Operations, Finance, Customer Support, Logistics, and Marketing.


Position Summary

The Senior Data Analyst will serve as a strategic business partner to executive leadership by designing dashboards, identifying trends, building predictive models, automating reporting, and providing recommendations that improve operational performance and profitability.

This individual will work closely with our CEO, President, CFO, VP of Operations, VP of Sales, and department leaders to analyze business performance, customer behavior, financial metrics, operational KPIs, inventory trends, and sales forecasting.

The ideal candidate thrives in a fast-paced environment, enjoys solving complex business problems, and has extensive experience with business intelligence platforms, SQL databases, Excel, Power BI, and AI-assisted analytics.

This is not an entry-level position.

Requirements
  • Bachelor's degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics, Finance, or a related field
  • 7+ years of professional data analytics experience
  • Advanced Microsoft Excel skills (Power Query, Pivot Tables, Power Pivot, advanced formulas)
  • Advanced proficiency with SQL for querying, extracting, and validating large datasets
  • Experience developing interactive dashboards using Power BI, Tableau, or similar business intelligence platforms
  • Strong analytical and critical thinking skills
  • Experience building executive dashboards
  • Experience working with data from multiple business systems including CRM, ERP, HRIS, customer support, and operational platforms
  • Strong understanding of KPI development, performance reporting, forecasting, and trend analysis
  • Excellent written and verbal communication skills with the ability to present findings to executive leadership
  • Experience working with large datasets
  • Proven ability to manage multiple projects while maintaining a high level of accuracy and attention to detail

Preferred Qualifications:
  • Master's degree in Data Analytics, Data Science, Business Analytics, Statistics, Computer Science, or a related field
  • Experience with Python, R, or other statistical programming languages
  • Experience with AI-assisted analytics and predictive modeling
  • Experience using Zoho Analytics, Zoho One applications, or similar cloud-based business platforms
  • Experience integrating data across multiple systems using ETL processes or APIs
  • Background in healthcare, logistics, supply chain, manufacturing, or compliance industries
  • Experience supporting executive-level strategic planning and operational decision-making
  • Familiarity with automation tools such as Microsoft Power Automate or similar workflow solutions


Benefits
  • 401(k)
  • Dental insurance
  • Flexible spending account
  • Life insurance
  • Vision insurance
  • Paid Holidays & Sick Time