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Internship Ai Data Labeling Jobs in Tennessee (NOW HIRING)

Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ... Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security ...

Data Insights interns will work in the Brentwood, TN office under the direct supervision and mentorship of a data professional. Interns will gain hands-on work experience completing BI projects for ...

Engineer, Data

Memphis, TN · On-site

$111K - $133K/yr

We specialize in co-manufacturing, private label, and food service solutions, offering a diverse ... Leverage AI assistance to accelerate development, documentation and troubleshooting of Python ...

Engineer, Data

Memphis, TN · On-site

$111K - $133K/yr

We specialize in co-manufacturing, private label, and food service solutions, offering a diverse ... Leverage AI assistance to accelerate development, documentation and troubleshooting of Python ...

Sr. AI and Privacy Engineer, Ops Trust

Nashville, TN · On-site

$100K - $138K/yr

... by what data we collect, process, and share. Everything we do is with this in mind. This leader ... BASIC QUALIFICATIONS - 4+ years of non-internship background in troubleshooting systems issues ...

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Internship Ai Data Labeling information

What is the difference between Internship Ai Data Labeling vs Data Annotation Specialist?

AspectInternship Ai Data LabelingData Annotation Specialist
Required CredentialsHigh school diploma or equivalent; some technical skillsHigh school diploma or higher; technical skills often preferred
Work EnvironmentEntry-level, training-focused, often remote or in-officeProfessional setting, may be remote or on-site, more independent
Employer & Industry UsageTech companies, AI startups, research projectsAI companies, data service providers, tech firms
Search & Comparison IntentUnderstanding entry-level roles in AI data labelingClarifying professional data annotation roles

Internship Ai Data Labeling typically refers to entry-level, training-focused positions aimed at gaining experience in labeling data for AI models. Data Annotation Specialist is a more experienced, professional role involving detailed data labeling tasks. Both roles are essential in AI development, but internships are designed for beginners, while specialists have more responsibility and expertise.

What is an AI data labeling internship?

An AI Data Labeling Internship is a temporary position where interns assist in preparing datasets for machine learning models by accurately annotating, categorizing, or tagging data such as images, text, or audio. Interns learn about the fundamentals of artificial intelligence and the importance of high-quality labeled data in training algorithms. This role is ideal for students or recent graduates interested in AI, data science, or related fields, and provides hands-on experience with data preparation and quality assurance processes.

What are some common challenges faced during an AI data labeling internship, and how can I overcome them?

As an AI Data Labeling intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex labeling guidelines, and managing repetitive tasks without losing focus. To overcome these, it's helpful to regularly review the instructions, seek feedback from your team lead, and use productivity techniques to stay engaged. Collaborating with other interns and attending team meetings can also provide valuable insights and help you address uncertainties quickly.

What are the key skills and qualifications needed to thrive as an AI data labeling intern?

To thrive as an AI Data Labeling Intern, you need attention to detail, basic data analysis skills, and familiarity with data annotation concepts, often supported by a background in computer science or related fields. Experience using annotation platforms, spreadsheets, and sometimes specific labeling software is common, though formal certifications are not usually required. Strong communication, time management, and the ability to follow detailed guidelines set high performers apart in this role. These skills ensure accurate, high-quality data sets that are essential for training reliable AI models.
What are the most commonly searched types of Ai Data Labeling jobs in Tennessee? The most popular types of Ai Data Labeling jobs in Tennessee are:
What job categories do people searching Internship Ai Data Labeling jobs in Tennessee look for? The top searched job categories for Internship Ai Data Labeling jobs in Tennessee are:
What cities in Tennessee are hiring for Internship Ai Data Labeling jobs? Cities in Tennessee with the most Internship Ai Data Labeling job openings:

Junior AI Solutions Engineer - AI Taskforce

Tencate Grass

Chattanooga, TN

Full-time

Re-posted 25 days ago


Job description

Junior AI Solutions Engineer – AI Taskforce

TenCate
Location: Flexible, USA / Global
Job Type: Full-Time
Experience Level: Early Career, 0–3 Years
Travel: Minimal, depending on role requirements
Reports To: Chief Information Officer, through the AI Taskforce

Company Overview

TenCate Grass is a global leader in synthetic turf systems, operating a vertically integrated value chain from polymer production through recycling. As artificial intelligence becomes increasingly important to innovation, operational efficiency, and customer service, TenCate is expanding its enterprise AI capabilities through a dedicated AI Taskforce.

The AI Taskforce develops scalable, governed, and business-aligned AI solutions supporting TenCate operations across EMEA, the United States, and APAC.

Position Summary

TenCate is seeking a Junior AI Solutions Engineer to support the design, development, and deployment of enterprise AI solutions within a governed delivery framework.

This position will collaborate with business stakeholders, product owners, senior engineers, and IT governance teams to deliver secure, compliant, and scalable AI capabilities that create measurable business value.

The role is ideal for an early-career professional seeking to build a strong foundation in enterprise AI engineering through mentorship, structured processes, and exposure to global business operations.

Key Responsibilities

Responsibilities include, but are not limited to:

  • Support the development of AI solutions across commercial, operational, and marketing functions.

  • Work within TenCate’s enterprise AI technology stack, including Claude, Azure, Microsoft Fabric, Copilot, and Power BI.

  • Assist with building AI models, workflows, integrations, and reusable components aligned with business requirements.

  • Support the testing, deployment, monitoring, and optimization of AI solutions.

  • Help monitor data quality, model performance, system reliability, and solution adoption.

  • Assist with maintaining data pipelines, system integrations, and technical components.

  • Follow established architecture, cybersecurity, data-governance, and compliance standards.

  • Participate in structured project intake, validation, documentation, and approval processes.

  • Help translate business requirements and operational challenges into practical technical solutions.

  • Collaborate with senior engineers and cross-functional teams across global regions.

  • Assist with user onboarding, training, playbooks, and knowledge materials for new AI solutions.

  • Gather user feedback and support continuous improvement after implementation.

  • Research emerging AI capabilities and contribute to internal best practices.

Qualifications and Experience
  • Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Zero to three years of relevant experience, including internships, academic projects, or professional experience.

  • Foundational knowledge of Python, SQL, and data-processing concepts.

  • Basic understanding of APIs, data pipelines, and system integration.

  • Familiarity with the Microsoft ecosystem, including Azure, Power Platform, or Copilot.

  • Basic understanding of AI and large language model tools, such as Claude or Copilot.

  • Awareness of data quality, cybersecurity, privacy, and governance principles.

  • Ability to translate technical concepts into clear, business-focused communication.

  • Strong analytical, organizational, and problem-solving skills.

  • Coursework, certifications, or hands-on projects involving AI, data, software development, or automation preferred.

Technical Skills and Core Competencies
  • Foundational Python and SQL programming.

  • Data processing, validation, and quality monitoring.

  • API and system-integration fundamentals.

  • Basic AI and large language model application development.

  • Familiarity with Azure, Microsoft Fabric, Power Platform, Copilot, or Power BI.

  • Technical documentation and process development.

  • Structured problem-solving and attention to detail.

  • Strong written and verbal communication skills.

  • Cross-functional collaboration and stakeholder engagement.

  • Curiosity, sound judgment, and a pragmatic understanding of AI capabilities and limitations.

Preferred Experience
  • Exposure to enterprise environments or governed technology-delivery models.

  • Experience with Power BI, Azure Machine Learning, or Microsoft Fabric.

  • Previous involvement in AI, data, software, or automation projects.

  • Completed coursework, certifications, or professional-development programs involving AI modeling, data management, or application development.

Example AI Domains
  • Data Scraping and Modeling: AI-based agents that identify potential turf sales leads using public information.

  • Commercial Intelligence: AI-driven Salesforce insights supporting sales teams.

  • Supply Chain Optimization: Predictive models supporting planning, quality, and logistics.

  • Circular Economy and Sustainability: AI solutions supporting ONE-DNAâ„¢ recyclability and traceability.

  • Risk and Regulatory Monitoring: Automated compliance and sustainability reporting.

Growth Path

This position offers a development path toward roles such as:

  • AI Solutions Engineer.

  • AI Platform Engineer.

  • AI Architect.

Success Criteria
  • Demonstrated growth in AI engineering and enterprise IT capabilities.

  • Effective contribution within established governance frameworks.

  • Strong collaboration with business stakeholders and IT teams.

  • Delivery of AI solutions that are adopted and used by the business.

  • Consistent development of reliable documentation and reusable technical components.

Work Environment

This position offers flexible location options based on business and role requirements. The Junior AI Solutions Engineer will collaborate with stakeholders and technical teams across EMEA, the United States, and APAC.

Minimal travel may be required depending on assigned projects and business needs.

Work Authorization

Candidates must be authorized to work in the United States without current or future employer sponsorship. TenCate is unable to provide visa sponsorship for this position.

Equal Employment Opportunity

TenCate is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.