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Flexible Data Annotation Analyst Jobs in Spring, TX

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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 13, 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?

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

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Flexible Data Annotation Analyst jobs near you

Professional - Data Analyst V(Senior Data Governance Specialist)

Sparc Technology Services Inc

Houston, TX • On-site

$60 - $65/hr

Full-time

Re-posted 11 days ago

Job description

Job Title: Professional - Data Analyst V(Senior Data Governance Specialist)
Location: Houston Downtown, TX
Working type: Hybrid; Monday-Thursday in person; Fridays remote
Duration: 12 months, 
 
Job Description:
Senior Data Governance Specialist
 
Summary
The Senior Data Governance Specialist is responsible for establishing, driving, and maturing the enterprise data governance framework. This role ensures the organization’s data is trustworthy, compliant, secure, and aligned to business strategy. The Senior Specialist provides cross pillar leadership across metadata, lineage, DQ, access governance, policies, MDM, compliance, and change management initiatives, working with senior business partners, technical teams, Legal/Security, and audit stakeholders.
 
Job Responsibilities:
Data Governance Strategy & Framework
•       Develop and maintain the enterprise DG strategy, policies, standards, and processes.
•       Define and implement scalable operating models (centralized, federated, hybrid).
•       Lead DG KPI development, maturity assessments, and continuous improvement cycles.
Data Quality Management
•       Define enterprise DQ dimensions, rules, controls, and remediation workflows.
•       Drive organization wide identification and governance of Critical Data Elements.
•       Oversee issue triage, RCA, and remediation with clear business/technical ownership.
Metadata, Lineage & Catalog Management
•       Lead enterprise adoption of metadata standards and quality expectations.
•       Oversee Atlan catalog governance (domains, glossary, lineage, personas/policies).
•       Partner with architecture and engineering to expand automated and governed manual lineage.
Data Ownership & Stewardship
•       Establish and operationalize Data Owner, Steward, Custodian roles and accountability models.
•       Lead the Data Governance Council and steward communities; ensure alignment on definitions, usage, and controls.
Policy, Controls & Compliance
•       Ensure compliance with internal DG policies and external regulations (GDPR/CCPA/SOX/HIPAA depending on industry).
•       Partner with Legal, Security, and Compliance to define and maintain privacy, access, retention, and risk controls.
•       Lead audit evidence collection and regulatory readiness for data related controls.
Master & Reference Data Governance
•       Drive governance for master data domains in partnership with MDM/architecture teams.
•       Oversee enterprise reference data lifecycle, definitions, and approved values.
Data Access & Security Governance
•       Define and govern classification schemes, access policies, and protection controls.
•       Work with Security/IT on RBAC, entitlement reviews, and data protection validation.
Technology & Tools Enablement
•       Evaluate and implement DG technology stack: Atlan, Monte Carlo, MDM tools, workflow automation, ITSM integrations.
•       Lead Atlan/MC enablement, ensuring enterprise adoption of metadata, lineage, DQ, and certification workflows.
•       Integrate metadata/QoS signals into BI dashboards; champion automation via APIs.
Stakeholder Engagement & Change Management
•       Serve as a primary ambassador for DG, translating technical governance concepts into business impact.
•       Lead education sessions, awareness campaigns, onboarding for DG roles.
•       Influence senior stakeholders and drive organization wide adoption.
 
Skills & Qualifications
•       Bachelor's degree in Computer Science, Data Management, MIS, or related field.
•       10+ years relevant experience in data governance, data management, analytics engineering, or data quality.
•       Deep expertise in metadata, master data, data quality, lineage, and regulatory compliance.
•       Hands on experience with Atlan and Monte Carlo or comparable platforms is strongly preferred.
•       Strong SQL + BI background, with experience in integrating catalog/observability data into dashboards.
•       Proven stakeholder leadership with ability to influence senior leaders across business, engineering, Legal, Security, and Compliance.
•       Excellent communication and ability to simplify complex data concepts.

Flexible work from home options available.