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Contract Data Labeler Jobs in Grapevine, TX (NOW HIRING)

Jobsultant Solutions

Remote Data Analyst

Dallas, TX · Remote

... 6-month contract with the opportunity for extension or conversion. Summary: The Walgreens ... Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis ...

1 point system

Cyber Data Security

Plano, TX · Remote

Requirement - Cyber Data Security Location- 100% Remote Contract W2 Description Summary We are ... Provide support to Collaboration team to place data classification labels on data. * Provide ...

CFM Enterprises

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Data (Cat5e and Cat6) Communications Field Technician

Dallas, TX · On-site

$42K - $48K/yr

Responsibilities: · Label, pull and terminate cable · Load and install workstations, laptops and ... This is NOT a sub contractor position or a temporary contract.

ADDSOURCE

Sr Lead Engineer - I_Azure

Irving, TX · On-site

Experience creating labelled datasets and maintaining data-quality standards. Familiarity with invoices, purchase orders, contracts, or supply-chain documents. Strong analytical, debugging, and ...

StarTech Networks Inc.

Foreman Manager

Fort Worth, TX · On-site

$85 - $120/hr

Foreman Manager - Optical Fiber (Data Center) BICSI INST2 Certified Job type- Contract-to-Hire ... MPO/LC trunk pulls, patching, cleaning, dressing, labeling. * Enforce cable management standards ...

NextGen Global Resources

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Data Center Optical Engineer - Field Services

Plano, TX · On-site

$30 - $32/hr

Contract - 1 Year Number of Positions: 1 Travel: 0-100% Shift: 8 hours About the Opportunity We are ... Ensure accurate fiber connections, port assignments, labeling, and cable management. * Maintain ...

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All JobsContract Data Labeler JobsContract Data Labeler Jobs in Grapevine, TX

Contract Data Labeler information

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How much do contract data labeler jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for contract data labeler in Grapevine, TX is $12.90, according to ZipRecruiter salary data. Most workers in this role earn between $11.54 and $14.23 per hour, depending on experience, location, and employer.

What is a contract data labeler?

Contract data labelers are professionals hired on a temporary or project basis to annotate and categorize data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Their main responsibility is to accurately tag or label data according to specific guidelines so that algorithms can learn to recognize patterns. As contractors, they typically work remotely and are paid per task, hour, or project. This role is essential for companies developing AI models that require large sets of accurately labeled data.

What are the key skills and qualifications needed to thrive as a contract data labeler?

To thrive as a Contract Data Labeler, you need strong attention to detail, accuracy, and basic data management skills, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, spreadsheet software, and sometimes project management platforms is typically required. Excellent focus, time management, and the ability to follow detailed instructions are crucial soft skills in this role. These skills ensure labeled data is reliable and consistent, which is vital for training high-quality AI and machine learning models.

What are some common challenges faced by contract data labelers, and how can they be addressed?

Contract Data Labelers often work with large volumes of diverse data, which can lead to repetitive tasks and fatigue. Ensuring accuracy and consistency in labeling is crucial, as errors can significantly impact machine learning outcomes. To address these challenges, it's important to take regular breaks, follow detailed guidelines, and communicate with team members or project leads when ambiguities arise. Many teams use quality assurance checks and feedback sessions to help labelers maintain high standards and continuously improve their work.

What is the difference between Contract Data Labeler vs Data Annotator?

AspectContract Data LabelerData Annotator
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote or on-site; tech companies, AI firmsRemote or on-site; AI and machine learning projects
Industry UsageUsed in AI training, machine learning datasetsUsed in AI, computer vision, NLP projects
Job FocusLabeling data for machine learning modelsAnnotating data to improve AI algorithms

The Contract Data Labeler and Data Annotator roles are similar, both involve labeling data for AI training. The main difference lies in terminology and specific project focus, but they often share similar credentials, work environments, and industry applications.

What job categories do people searching Contract Data Labeler jobs in Grapevine, TX look for?

The top searched job categories for Contract Data Labeler jobs in Grapevine, TX are:

What cities near Grapevine, TX are hiring for Contract Data Labeler jobs?

Cities near Grapevine, TX with the most Contract Data Labeler job openings:

Contract Data Labeler jobs near you

Full Stack Software Developer / Data Security / Python

Plano, TX • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Motion Recruitment Partners, LLCexternal

Other

Posted 22 days ago

Job description

Our Globally recognized Client is seeking a Full Stack Software Developer / DLP Data Security Engineer to work onsite within the Global Data Security Program. This role is dedicated to developing and deploying scalable automation, workflows, and integrations using Python and JavaScript to accelerate global data protection initiatives and proactively reduce Client's cyber risk exposure. The position will involve building automation and tools for a variety of security-related initiatives. Contract opportunity in Plano, Texas.
Contract Duration: 3+ month with potential for contract to hire
Required Skills & Experience
  • Strong programming skills in Python and JavaScript, with solid experience in at least one of: Java, PowerShell, or C#; comfortable switching across languages and technology stacks to contribute to multiple active projects simultaneously.
  • Hands-on experience developing automation and security workflows, dedicating a significant portion of time to building software and integrations for data protection initiatives.
  • Strong experience with Endpoint.
  • Proficiency in scripting and automation using Python and PowerShell for task automation, system administration, security operations workflows, and integration with enterprise platforms (e.g., Active Directory, Microsoft 365, Azure).
  • Manage DLP tools, including configuring policies, tuning, testing, and implementing new features and functionality.
  • Provide support across multiple areas of data security and operations: Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data labeling, data classification and rights management, data encryption, and data access governance.
  • Manage the technical configuration, implementation, administration, and support of multiple data security products and solutions such as CASB, SASE, DLP, and DSPM.
  • Develop technical documentation (e.g., system designs, architecture diagrams, data flows, functional specifications).
  • Leverage APIs to collect key performance indicators (KPIs) and key risk indicators (KRIs) for data governance and protection controls.
  • Collaborate with senior leadership and cross-functional teams including Security Operations, Legal, Privacy, Data and Analytics, Enterprise Architecture, Platform teams, and sector functions.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker) to deploy and operate security and data protection solutions.
  • Familiarity with version control systems (e.g., Git), CI/CD pipelines, and automation tools to accelerate delivery and maintenance of security capabilities.
  • Experience using data analytics and visualization tools (e.g., Power BI, Looker, QuickSight) to create dashboards and insights for KPIs and KRIs related to data security.
  • Ability to analyze security telemetry and operational data to generate actionable insights that drive program decisions and risk mitigation strategies.
  • Solid background and understanding of security concepts such as data classification, data loss prevention (DLP) strategies, data discovery, data masking, rights management, data residency, cloud data protection, and regulatory compliance frameworks (e.g., GDPR, CCPA, PCI-DSS).
  • 3+ years in data security, data loss prevention (DLP), software development, or computer engineering; or master's degree in computer science/engineering or related data security field, and 1 year of relevant experience.

Non-technical Skills
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Demonstrated ability to autonomously make high-judgment decisions and take calculated risks.
  • A proactive and positive team player who is impact-focused, driven, curious, analytical, and a self-starter.
  • Ability to establish trust relationships and influence others to positively impact the security posture and the business.
  • Able to collaborate effectively with both highly technical and non-technical stakeholders to align security and automation efforts with business objectives.
  • Comfortable managing multiple parallel projects and priorities, maintaining clarity on risk, impact, and trade-offs.
  • Solid customer orientation with excellent oral and written communication skills in English.
  • Must be able to operate well under pressure.
  • Fluent in English and Spanish is a plus.

Differentiating Behaviors
  • Skilled in leading complex technical projects with expertise in cybersecurity, software engineering, agile methods, and customer interaction.
  • Proficient in evaluating the relative costs, benefits, and trade-offs of potential courses of action to pinpoint the optimal solution.
  • Skilled in task organization, time management, and prioritization to align actions with business objectives.
  • Meticulous attention to detail, adept at articulating crucial specifics clearly in both verbal discourse and technical documentation.
  • Proficient in cultivating cooperative, transparent working partnerships with technology teams and various stakeholders, including vendor relationships.
  • Skilled at translating complex technical findings and risk assessments into clear, concise narratives tailored to executive, legal, or non-technical stakeholders.
  • Effective communication skills, capable of conveying information clearly and engaging with technical and non-technical audiences across various levels.
  • Information Security certifications such as CEH, CISM, CISA, Security+, Network+, CISSP, OSCP, GPEN, GWAPT, GXPN, and GSE are a plus, but not required.
  • Demonstrated ability to drive end-to-end automation and workflow solutions for data security, from idea and design through implementation and continuous improvement.
  • Experience leveraging PowerShell scripting to automate repetitive security tasks, generate operational reports, and integrate with enterprise security tooling.
  • Proven experience leading or contributing to multiple concurrent security or data protection projects, balancing hands-on technical work with stakeholder alignment and risk-based prioritization.

What You Will Be Doing
  • Execute projects, objectives, and deliverables in alignment with team vision, mission, and goals.
  • Develop program metrics, continuously measure progress, and drive improvements.
  • Design, develop, and maintain software and system solutions using multiple programming languages and technology stacks to support data security and protection objectives.
  • Develop technical documentation (i.e., system design, architecture diagrams, data flows, functional specifications).
  • Identify and address vulnerabilities and develop or enhance software-based security measures to drive continuous improvement of data protection practices.
  • Routinely develop and update program documentation, processes, and technologies to adapt to the evolving threat landscape.
  • Create and deliver training sessions; mentor junior team members; and engage in knowledge transfer sessions, technical design reviews, security reviews, and business review meetings.
  • Collaborate with senior leadership and cross-functional teams including Security Operations, Legal, Privacy, Data and Analytics, Enterprise Architecture, Platform teams, and sector functions to align automation, data protection controls, and business outcomes.
  • Contribute hands-on to building, testing, and maintaining software, automation, integrations, and tools that support data loss prevention and broader data security objectives.

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