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Internship Ai Data Labeling Jobs in Tennessee (NOW HIRING)

Zappsec

Deployment Engineer

Memphis, TN · On-site

$95 - $140/hr

Deploying Client's AI data center infrastructure across new builds, expansions, refreshes, and high-density compute deployments * Racking, stacking, cabling, labeling, and validating servers, PDUs ...

Zappsec Inc.

Deployment Engineer

Memphis, TN · On-site

Deploying Client's AI data center infrastructure across new builds, expansions, refreshes, and high-density compute deployments * Racking, stacking, cabling, labeling, and validating servers, PDUs ...

Accenture

Data Protection Consultant

Nashville, TN

$112K - $133K/yr

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 ...

Career Search

AI Internship

Brentwood, TN

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 ...

Accenture

Data Protection, A/SA-Evergreen

Nashville, TN

$84K - $100K/yr

... labels/encryption, DLP policies, data classification/discovery, Insider Risk Management ... Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ...

Armaninollp

Data & AI Platform Engineer

Nashville, TN

$110K - $132K/yr

Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ...

BPD

AI Engineer

Nashville, TN · On-site +1

$110K - $132K/yr

Data Solutions & Analytics The Position: We're hiring a mid-level AI Engineer to help build and ... internships, or substantial personal projects. * Solid Python and SQL ; comfort querying a cloud ...

CBRE

Union Data Center Technician

Memphis, TN · On-site

Affixing Labels to cabling and Power Cords * Affix bar coding to equipment * Affix free printed ... Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ...

Cigna

Actuarial Internship - Summer 2027

Franklin, TN · On-site +1

Data is everywhere. Insights and impact are not. Spend your summer learning the skills to grow as a ... AI-enabled tools. As an intern, you'll solve complex business problems with real constraints and ...

Accenture

Data Protection, Manager

Nashville, TN

$150K - $178K/yr

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 ...

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Internship Ai Data Labeling information

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 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 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 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 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 are popular job titles related to Internship Ai Data Labeling jobs in Tennessee?

For Internship Ai Data Labeling jobs in Tennessee, the most frequently searched job titles 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:

Internship Ai Data Labeling jobs near you

Data Engineer - QuantumBlack, AI by McKinsey

Milan, TN • On-site

McKinsey & Company
Business Management Consulting • 10K+ employees

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

21st of 72 rated business consultants

Good employer

Respectful managers

Good training

Learn more about McKinsey & Companyexternal

$93K - $111K/yr

Full-time

Re-posted 21 days ago

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.
You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You'll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.
You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You'll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you'll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities.
Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll help develop innovative AI capabilities and scalable enterprise solutions. You'll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firm's ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.
You'll be based in our Milan office as part of our global Data Engineering community. Working in cross-functional Agile teams, you'll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients from data owners to C-level executives you'll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.
Your work offers a unique opportunity to grow at the forefront of AI, data engineering, and emerging agentic technologies. You'll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you'll gain a holistic understanding of how data engineering enables advanced AI while collaborating with leading AI and data experts in the industry.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Degree in Computer Science/Engineering, or equivalent experience
  • Experience in a data-focused role (internships, academic projects)
  • Ability to write clean, well-documented code in a modern programming language, with a strong preference for Python and SQL
  • Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of data formats (structured vs unstructured) and processing methods (streaming vs batch)
  • Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.)
  • Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/CD principles
  • Exceptional time management in a complex and largely autonomous work environment
  • Willingness to learn quickly and adapt to different project situations and tech stacks
  • Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
  • Strong communication skills, both verbal and written, in English.

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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Benefits

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