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Internship Ai Data Annotation Jobs in Anderson, SC

For Entry Level, this can include internship, Co-op, apprentices,military service,or similar ... This spans from providing data- and AI-based connected solutions for professional fleets to ...

For Entry Level, this can include internship, Co-op, apprentices, military service, or similar ... This spans from providing data- and AI-based connected solutions for professional fleets to ...

For Entry Level, this can include internship, Co-op, apprentices,military service,or similar ... This spans from providing data- and AI-based connected solutions for professional fleets to ...

For Entry Level, this can include internship, Co-op, apprentices, military service, or similar ... This spans from providing data- and AI-based connected solutions for professional fleets to ...

Internship Ai Data Annotation information

See Anderson, SC salary details

$11

$20

$38

How much do internship ai data annotation jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for internship ai data annotation in Anderson, SC is $20.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.45 per hour, depending on experience, location, and employer.

What is an AI data annotation internship?

An AI Data Annotation Internship is a temporary position where interns help label, tag, or categorize data (such as images, text, or audio) to train and improve artificial intelligence models. Interns typically work with datasets, ensuring that the information provided is accurate and consistent, which is crucial for machine learning algorithms to learn effectively. The role is a valuable entry point for those interested in AI, machine learning, or data science, as it offers hands-on experience with the foundational work needed to build intelligent systems.

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

To thrive as an Internship AI Data Annotation specialist, you need attention to detail, basic computer literacy, and a foundational understanding of data labeling concepts, often supported by ongoing training or coursework in data science or computer science. Familiarity with annotation tools like Labelbox, Supervisely, or VIA, and knowledge of data management platforms are commonly required. Strong organizational skills, patience, and effective communication help you manage repetitive tasks and collaborate with team members. These skills are essential to ensure high-quality data labeling, which directly impacts the performance and accuracy of AI models.

What are the typical challenges faced during an AI data annotation internship, and how can I overcome them?

As an AI Data Annotation intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex annotation guidelines, and adapting to evolving project requirements. It's important to regularly communicate with your team lead or project manager to clarify any uncertainties and ensure consistency in your annotations. Leveraging available training materials and asking for feedback will help you improve your efficiency and accuracy, turning these challenges into valuable learning experiences.

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

AspectInternship Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal formal education required
Work EnvironmentOffice or remote; supervised tasks, often part-time or temporaryOffice or remote; repetitive tasks, often entry-level
Industry UsageTech companies, AI startups, research projectsTech firms, data companies, AI development teams
Search & Comparison IntentUnderstanding entry-level roles in AI data annotationComparing entry-level data labeling jobs in AI

Internship Ai Data Annotation roles typically involve supervised, short-term tasks aimed at gaining experience in AI data preparation. Data Labeler positions are similar entry-level roles focused on labeling data for machine learning. Both roles require basic skills and are used across tech and AI industries, but internships often offer more training and learning opportunities.

What are the most commonly searched types of Ai Data Annotation jobs in Anderson, SC?

The most popular types of Ai Data Annotation jobs in Anderson, SC are:

What are popular job titles related to Internship Ai Data Annotation jobs in Anderson, SC?

For Internship Ai Data Annotation jobs in Anderson, SC, the most frequently searched job titles are:

What job categories do people searching Internship Ai Data Annotation jobs in Anderson, SC look for?

The top searched job categories for Internship Ai Data Annotation jobs in Anderson, SC are:

Infographic showing various Internship Ai Data Annotation job openings in Anderson, SC as of June 2026, with employment types broken down into 47% Full Time, 51% Part Time, and 2% Temporary. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $42,848 per year, or $20.6 per hour.

(Junior) Consultant - Automotive Operations & Supply Chain Management

P3 USA, Inc.

Greenville, SC โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

The unique aspect of our business is the mindset of our employees: curious, adventurous, and innovative. P3 consultants take on early responsibilities with clients in management consulting, diverse technology topics, and scalable IT solutions.
Make a project your project. Openness for new, innovative, and unconventional approaches; short decision paths; respectful cooperation; and fruitful synergies make us a diverse, unbeatable team and successful company - worldwide.
WHAT YOU'LL DO
You will support challenging operations projects within the automotive industry, contributing to efficiency, cost reduction, and digital transformation. Responsibilities vary by project, aligning with client needs and individual strengths.
  • Analyze, document, and optimize business processes in manufacturing, logistics, supply chain, aftersales, IT projects, and automation.
  • Conduct on-site assessments to identify inefficiencies and recommend improvements to reduce costs and boost productivity.
  • Support quality management systems and ensure regulatory compliance.
  • Assist in supplier development and risk management, including coaching suppliers, multi-tier sourcing visibility, and compliance with trade or sustainability standards.
  • Enhance supply chain management across procurement, inventory, sourcing, and logistics.
  • Develop, update, and document standard operating procedures (SOPs), process maps, and policy manuals.
  • Perform cost analyses, create and manage budgets, and recommend solutions for cost containment and margin improvement.
  • Create and oversee implementation of action plans, tracking progress of improvement initiatives with follow-ups and status reports to clients.
  • Introduce and support new technologies, including automation, digital tools, and AI implementation.
  • Conduct training or workshops to enable process and cultural change.
  • Facilitate cross-functional collaboration between business units (engineering, production, procurement, sales) to optimize value chain performance.
  • Provide data-driven insights using KPIs, benchmarking, and analytics.
  • Support sustainability and continuous improvement initiatives.
  • Collaborate with leadership and department heads to ensure alignment on operational goals and sustain results over time.
  • Manage customer and supplier relationships to maintain alignment on quality, pricing, and delivery expectations.
  • Contribute insights and strategies for market growth, benchmark industry standards, and support go-to-market plans for new services or technologies.
  • Drive innovation within projects and internally at P3.

WHO YOU ARE
  • You hold a Bachelor's or Master's degree in Engineering, Industrial Engineering, Business Administration, Supply Chain Management, Data Analytics, or a related field.
  • You Bring practical experience through internships or entry-level roles within automotive, manufacturing, or consulting environments.
    • Supported process improvement or operational projects contributing to measurable outcomes such as cost reduction, efficiency gains, or quality improvements.
    • Assisted in data analysis, KPI tracking, and reporting to enable decision-making and monitor project progress in real-world automotive or manufacturing environments.
    • Participated in implementation activities on-site, such as coordinating with cross-functional teams, updating SOPs, or supporting technology rollouts (automation, digital tools, AI).
  • You demonstrate hands-on experience with AI-driven tools and data analytics for process optimization or decision-making.
  • you show proficiency in MS Office and familiarity with digital tools.
  • You are self-motivated and driven with entrepreneurial spirit.
  • Excellent written and verbal communication skills, well spoken with powerful presentation skills, especially when interacting with customers.
  • You are characterized by a precise, independent, and structured way of working in a fast-paced, demanding environment.
  • You think 'outside of the box' to create solutions when none exist.
  • With an agile mindset you are not afraid of diving into uncharted waters.
  • Strong conflict resolution skills help you manage, mitigate, and resolve conflicts.
  • Your English skills are solid, German and/or Spanish is a plus.
  • You are comfortable with extensive travel (up to 100% of your working time), typically Monday through Friday, depending on client and project needs.
  • You are legally authorized to work in the U.S.

GOOD TO KNOW
  • We offer a competitive salary with bonus potential.
  • You get up to 20 days PTO and 10 paid company holidays.
  • We offer mentorship and onboarding programs and a flat hierarchy.
  • You can get healthcare, life insurance, dental & vision, 401(k) matching.
  • We offer national and international travel opportunities.
  • You have career opportunities in a fast-growing company and work in small, efficient project teams.