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Data Labelling Jobs in Allen, TX (NOW HIRING)

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... labelling system leveraging computer vision, and machine learning. - Manage the end-to-end ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... labelling system leveraging computer vision, and machine learning. - Manage the end-to-end ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

Waabi

Senior Software Engineer, Auto Labelling

Dallas, TX · On-site +1

$170K - $220K/yr

... labelling system leveraging computer vision, and machine learning. - Manage the end-to-end ... Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ...

The Peak Organization

Data Center Technician

Dallas, TX · On-site

$30 - $35/hr

Organize, route, and label data and power cables to maintain a clean, efficient, and safe environment, adhering to industry standards. * Transceiver Installation : Install, test, and troubleshoot ...

CSW Industrials

ERP Data Specialist

Rockwall, TX · On-site

Update and maintain data across JDE and connected systems (EBT, palletizers, labelers, Lisam). * Ensure data consistency and resolve discrepancies across systems. Data Governance & Quality * Enforce ...

INSPYR Solutions

Data & Observability Architect

Dallas, TX · On-site

$200K - $325K/yr

Define and enforce data governance for telemetry (label taxonomy, cardinality budgets, PII handling etc.). * Partner with Platform, Security, and Solution Architecture teams to ensure observability ...

The Archetype Strategy

Data Center Technician

Allen, TX · On-site

Properly route, label, and secure cables to ensure a clean, organized, and efficient data center layout. * Equipment Testing: Ensure that installed equipment is powered on and functioning correctly ...

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Showing results 1-20

All JobsData Labelling JobsData Labelling Jobs in Allen, TX

Data Labelling information

See Allen, TX salary details

$42.8K

$153.5K

$226.5K

How much do data labelling jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data labelling in Allen, TX is $153,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $158,100.00 per year, depending on experience, location, and employer.

What does a data labeler do?

A data labeler is responsible for annotating and categorizing data such as images, videos, or text to help train machine learning models. They use tools and guidelines to ensure accurate labeling, which is essential for developing reliable AI systems. Attention to detail and understanding of the data are important for this role.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can offer flexible schedules and opportunities to develop skills in AI and data management, but typically involves repetitive tasks and lower pay compared to more advanced tech roles.

What is a Data Labelling job?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations for AI training. It is often performed remotely and may involve repetitive tasks with a focus on accuracy.

What are the typical daily responsibilities of a Data Labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.

What are the key skills and qualifications needed to thrive in the Data Labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

How can I get started in data labeling?

To start in data labeling, gain familiarity with annotation tools like Labelbox or CVAT and understand data privacy requirements. Basic skills in image, text, or audio annotation are helpful, and some roles may require attention to detail and the ability to follow guidelines. Entry-level positions often provide training, making it accessible for beginners.
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What job categories do people searching Data Labelling jobs in Allen, TX look for? The top searched job categories for Data Labelling jobs in Allen, TX are:
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Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Allen, TX as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $153,496 per year, or $73.8 per hour.
Data Product Lead (Dallas, TX)

Data Product Lead (Dallas, TX)

Blue Acorn iCi

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Position Overview
Blue Acorn iCi is looking for a Data Product Lead to lead the Data POD supporting enterprise-
scale Adobe Experience Cloud initiatives. This role serves as the technical and consultative
leader for the foundational data layer that powers customer experience, activation, analytics,
and personalization capabilities across the Adobe ecosystem.
The Data Product Lead is responsible for B2B data architecture, Adobe Web SDK and data
collection implementations, upstream CRM and marketing-automation integrations, governance
frameworks, identity strategies, and data quality programs that enable trusted, actionable
customer data. Working closely with Product Managers, business stakeholders, architects, and
delivery teams, this leader will translate strategic priorities into executable roadmaps, oversee
POD delivery, and ensure the scalability, reliability, and governance of data assets across
Adobe Experience Platform (AEP), Real-Time CDP B2B (RTCDP), Adobe Journey Optimizer
(AJO), and Customer Journey Analytics (CJA).
Location: Dallas, TXKey ResponsibilitiesTechnical Execution
  • Own technical quality, delivery velocity, and overall execution for all work within the Data
    POD.
  • Lead hands-on reviews of solution designs, B2B data architectures, XDM schemas, configurations, integrations, and deployment plans.
  • Establish and enforce quality standards, including peer reviews, QA validation processes, deployment checklists, operational runbooks, and governance controls.
  • Manage and mentor offshore data engineering resources, providing clear specifications, acceptance criteria, feedback, and delivery oversight.
  • Develop and maintain playbooks, templates, standards, and reusable implementation patterns for data collection, integration, and governance initiatives.
  • Design and oversee Adobe Web SDK implementations, Edge Network / Data Streams configuration, tag management frameworks, and enterprise data layer architectures.
  • Lead CRM, billing, and campaign data integrations into AEP, including lead-to-account matching and account-based data models.
  • Define and maintain XDM schemas, datasets, ingestion strategies, and B2B identity frameworks-accounts, contacts/leads, opportunities, and buying groups-that support enterprise use cases.
  • Ensure data quality, governance, lineage, and compliance requirements are incorporated into all solutions.
Program Integration
  • Represent the Data POD across governance forums, including sprint reviews, PI planning sessions, steering committees, and executive leadership reviews.
  • Translate business priorities and Product Manager requirements into executable sprint plans and delivery roadmaps.
  • Manage POD intake, prioritization, capacity planning, and dependency tracking.
  • Communicate delivery status, risks, blockers, quality metrics, and adoption indicators to stakeholders and leadership.
  • Partner with compliance, security, and risk teams to ensure alignment with governance requirements.
  • Drive data readiness planning and milestone management for enterprise initiatives, including migrations off legacy marketing automation platforms (e.g., Eloqua, Marketo) onto the Adobe stack.
  • Develop and maintain POD performance metrics, including capacity utilization, velocity, delivery health, and quality scorecards.
Consultative Leadership
  • Serve as the trusted advisor for all data-related initiatives and capabilities within the Adobe ecosystem.
  • Translate complex technical concepts into clear business outcomes for Product Managers, marketers, and executive stakeholders.
  • Partner with business and technology teams to establish data ownership models, access strategies, service-level agreements, and governance standards.
  • Identify opportunities to improve operational efficiency through process optimization, automation, and modernization initiatives.
  • Drive enablement and knowledge transfer efforts that support long-term client ownership and operational maturity.
  • Coach and develop team members while promoting a consultative, solution-oriented culture across the engagement.
  • Manage escalations, provide strategic guidance, and partner with leadership to ensure successful solution delivery.
Data Governance & Quality
  • Own the data governance roadmap and support enterprise governance initiatives.
  • Establish and maintain frameworks for data quality, freshness, completeness, lineage, and compliance monitoring.
  • Drive implementation of consent management strategies, data labeling standards, DULE policies, and governance controls within Adobe Experience Platform.
  • Develop and maintain KPI frameworks and dashboards that measure data health, trust, adoption, and operational effectiveness.
  • Drive data quality initiatives focused on freshness SLAs, completeness metrics, integration health monitoring, and operational reliability.
  • Partner with stakeholders to continuously improve data quality and reliability across customer experience platforms.
Agentic Automation & Innovation
  • Identify and prioritize automation opportunities across data collection, integration, governance, and operational workflows.
  • Partner with AI and engineering teams to develop and scale automation initiatives that improve efficiency and reduce manual effort.
  • Establish governance controls and human-in-the-loop processes for AI-assisted workflows.
  • Drive initiatives focused on automated data validation, anomaly detection, schema mapping, and integration acceleration.
  • Measure and report automation outcomes, including operational efficiency gains, manual effort reduction, cost savings, and operational scalability.
Required Skills & Experience
  • 8+ years of experience in data architecture, customer data platforms, marketing technology, data engineering, digital transformation, or related disciplines.
  • Deep hands-on expertise with Adobe Web SDK, Edge Network / Data Streams, tag management solutions, and enterprise data layer architecture.
  • Extensive experience implementing and supporting Adobe Experience Platform (AEP) solutions, including XDM schema design and dataset configuration.
  • Hands-on experience with the B2B data model-accounts, contacts/leads, opportunities, marketing lists, and buying groups-in RTCDP B2B or a comparable B2B CDP.
  • Proven experience integrating CRM (Salesforce/Dynamics), billing, campaign, and enterprise data sources into Adobe Experience Platform, including lead-to-account matching.
  • Strong expertise in XDM schema design, dataset configuration, data modeling, and data governance best practices.
  • Experience designing and supporting both batch and streaming data ingestion architectures.
  • Deep understanding of data governance, data lineage, consent management, data labeling, and DULE policies.
  • Experience with B2B identity resolution, account-to-person resolution, profile stitching, and cross-device identity strategies within RTCDP environments.
  • Strong knowledge of cloud-based data platforms including GCP, AWS, Azure, and Snowflake.
  • Demonstrated experience leading complex, cross-functional programs within large enterprise environments.
  • Proven ability to manage offshore technical resources and distributed delivery teams.
  • Experience establishing data quality frameworks and governance programs with measurable outcomes.
  • Strong stakeholder management, communication, presentation, and executive influence skills.
  • Experience balancing technical delivery priorities with business objectives and operational outcomes.
Preferred Qualifications
  • Experience supporting telecommunications, media, technology, or large-scale B2B digital transformation initiatives.
  • Hands-on experience with Adobe Journey Optimizer B2B Edition and B2B journey/orchestration data requirements.
  • Experience with Adobe Journey Optimizer (AJO), Customer Journey Analytics (CJA), and Real-Time CDP B2B (RTCDP). Experience with account-based marketing (ABM) data models and platforms (Demandbase, 6sense).
  • Experience establishing enterprise data governance programs and data quality frameworks.
  • Familiarity with Agile delivery methodologies, PI planning, and scaled delivery models.
  • Experience building AI-assisted operational workflows and automation programs.
  • Adobe Experience Platform, Adobe Experience Cloud, or related Adobe certifications (AEP Data Architect/Engineer, RTCDP, AJO, CJA).
  • Cloud platform certifications in AWS, Azure, GCP, or Snowflake.
  • Highly preferred to be based in or willing to work from the Dallas, TX area.
Compensation
The base salary range for this position is $135,000 - $185,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.
About Blue Acorn iCi
Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results.
Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we're growing fast-and we're looking for exceptional talent to grow with us.
Our teams work at the intersection of strategy and execution-solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement.
Why Join Us?
Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We're more than a consultancy-we're a team of innovators helping the world's top brands shape the future of digital.
Here, you won't just contribute to a project-you'll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we're committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves.
If you're ready to push boundaries, deliver real value, and help shape the next generation of digital experiences-this is your place.
***For US based roles, candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future. Infosys Nova Holdings, LLC does not provide immigration or visa sponsorship for this position (including H4 EAD, H-1B, OPT, CPT, TN, O-1, E-3, or J-1 visas).***
Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more!
Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.
Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice.
Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: careers@blueacornici.com.
California applicants: Please click here for CCPA disclosures.

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