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Data Annotation For Ai Jobs in Spring, TX (NOW HIRING)

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Senior Data Engineer - Healthcare AI

Houston, TX · On-site

$101K - $137K/yr

What's in it for you. Paid Medical Benefits: MD Anderson covers 100% of medical benefits for ... AI/ML Data Expertise: Experienced in designing and managing feature and vector stores, batch and ...

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

You will manage end to end delivery for Data Science projects on AWS and for enterprise SaaS AI rollouts, driving both technical execution and business adoption. On the platform side, you will work ...

You will manage end to end delivery for Data Science projects on AWS and for enterprise SaaS AI rollouts, driving both technical execution and business adoption. On the platform side, you will work ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Architect, implement, and maintain an on-premises Data Warehouse to serve as the foundation for AI and analytics initiatives. Designs and builds data pipelines and ETL processes to deliver reliable ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Architect, implement, and maintain an on-premises Data Warehouse to serve as the foundation for AI and analytics initiatives. Designs and builds data pipelines and ETL processes to deliver reliable ...

Data Engineer

Houston, TX

$109K - $131K/yr

Architect, implement, and maintain an on-premises Data Warehouse to serve as the foundation for AI and analytics initiatives. Designs and builds data pipelines and ETL processes to deliver reliable ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Architect, implement, and maintain an on-premises Data Warehouse to serve as the foundation for AI and analytics initiatives. Designs and builds data pipelines and ETL processes to deliver reliable ...

Sets the technical and architectural precedent for how AI is built, deployed, secured, and governed going forward, including PII and data-governance safeguards (redaction, access controls, audit ...

Sets the technical and architectural precedent for how AI is built, deployed, secured, and governed going forward, including PII and data-governance safeguards (redaction, access controls, audit ...

Sets the technical and architectural precedent for how AI is built, deployed, secured, and governed going forward, including PII and data-governance safeguards (redaction, access controls, audit ...

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Showing results 1-20

Data Annotation For Ai information

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are the key skills and qualifications needed to thrive as a Data Annotation Specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.
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What job categories do people searching Data Annotation For Ai jobs in Spring, TX look for? The top searched job categories for Data Annotation For Ai jobs in Spring, TX are:
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SFDC Process and Capability Lead for AI

Hewlett Packard Enterprise Development LP

Spring, TX • Hybrid

Full-time

Posted 25 days ago


Job description

SFDC Process and Capability Lead for AIThis role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

The AI Capability Lead role is essential for accelerating productivity, driving innovation, and ensuring the successful implementation and scalability of the current and future roadmap of the Agentic AI program providing AI powered selling, productivity enablement, and enhanced user experiences for our sales teams, our sales operations teams, and our customer/partner facing organizations across HPE. The AI Capability lead is a cross-functional role responsible for managing and driving the solutioning, and optimization of AI tools, features, and industry-leading solutions within HPE's Salesforce (SFDC) platform. This role serves as a bridge between technical capability and business application to ensure alignment with HPE business goals and the seller experience. This role will be key to ensuring the successful implementation of our Catalyst AI projects and LTP Roadmap for FY'26 and beyond as solutions expand, and usage increases.

This role will:

  • Partner with Global Process Owners, Experience Leads, and stakeholders to translate business needs into defined requirements to deliver AI-enabled capabilities. This role will drive requirements gathering, solution design, testing, and delivery.
  • Define the AI capability roadmap for the SFDC platform aligned with business priorities (Sales, Partner Experience, Sales Support)
  • Identify opportunity areas where AI can drive measurable improvements in productivity and experience
  • Be responsible for providing centralized governance and engagement and will lead proof of concepts to validate value and usability.
  • Establish governance for AI tool evaluation, pilots, implementation
  • Support objective vendor/tool assessments (TCO, security/compliance, integration feasibility, scalability, reliability, data lineage, latency, and interoperability with existing SFDC apps).
  • Collaborate with Enterprise Architecture, Data & Analytics, Security, and Salesforce engineering teams to design scalable AI-enabled solutions within SFDC.
  • Ensure seamless integration with core SFDC objects, AppExchange apps, and external systems while maintaining data quality and governance.
  • Partner with IT, security, privacy, and legal teams to ensure compliant, scalable deployments.
  • Communicate progress and results throughout the release cycle
  • Establish and participate in a cross-functional AI governance body for SFDC to ensure alignment across impacted capabilities and processes

About the Candidate:

  • You will have Bachelor's or Master's degree in Business Management or equivalent
  • You will have typically 6-10 years experience in IT, CRM, Business & Strategy or related discipline
  • You will have experience designing and implementing overall process and tools management and improvement frameworks to provide SFDC Capability experiences and features designed to the HPE sales process.
  • You will have thorough understanding of and experience in applying business and sales operations practices and process design to situations
  • You will have thorough understanding of the Software Development Life cycle
  • You will have mastery in English and local language.
  • You will have ability to effectively communicate business processes and how sales tools and capabilities align to those processes.
  • You will have strong stakeholder engagement and can interface at all levels of the organization including Directors / VP level

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Sales Operations

Job Level:

Master"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 105,500 - 243,000 in Texas
- Canada: Annual Salary CAD 131,000 - 181,000 in Ontario
The listed salary range reflects base salary. Variable incentives may also be offered.
L'echelle salariale prevue pour un nouvel embauche base au Canada occupant ce poste est indiquee ci-desus. L'offre peut varier dans cette echelle en fonction de l'emplacement geographique, de l'experience professionnelle, deet/ou du niveau des competences. S'il s'agit d'un role de vente, l'echelle salariale indiquee reflete le salaire de base combine a la remuneration des ventes ciblees. S'il s'agit d'un role non commercial, l'echelle salariale indiquee reflete uniquement le salaire de base. Des incitations variables peuvent egalement etre proposees. "

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Information about employee benefits offered in Canada can be found at https://myhperewards.com/pdf/hpe-recruit-brochure-can.pdf

Des informations sur les avantages sociaux offerts sont disponibles sur https://myhperewards.com/pdf/hpe-recruit-brochure-can-fr.pdf

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

In accordance with applicable Mexican laws and our commitment to non-discrimination, HPE strictly prohibits requiring medical certificates related to pregnancy status or HIV as conditions for employment, continued service, or promotion.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.