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Internship Ai Data Labeling Jobs in Alabama (NOW HIRING)

Autodesk

$77K - $102K/yr

Define and maintain reporting standards, allocation logic, and tagging/labeling requirements to ... data-driven conclusions * Hands-on experience building and maintaining dashboards in Apptio ...

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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 Alabama?

The most popular types of Ai Data Labeling jobs in Alabama are:

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

What job categories do people searching Internship Ai Data Labeling jobs in Alabama look for?

The top searched job categories for Internship Ai Data Labeling jobs in Alabama are:

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Cities in Alabama with the most Internship Ai Data Labeling job openings:

Internship Ai Data Labeling jobs near you
Infographic showing various Internship Ai Data Labeling job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

REMOTE AI Applications Intern

BROWN TECHNOLOGIES INCORPORATED

Huntsville, AL • On-site

$14 - $18.75/hr

Other

Medical, Life, Retirement, PTO

Re-posted 25 days ago

Job description

AI Intern

Huntsville, AL

Brown Technologies is a rapidly growing company with a proven record of success supporting complex cutting-edge development programs. We are an employee-centric company that understands the individuals that comprise our workforce are our most important asset and are recognized as one of "The Best Place for Working Parents". Come join our team of experienced, dedicated, and committed professionals whose focus is to solve the mission-critical problems of our customers.

Brown Technologies is currently seeking an AI application developer intern who is a self-starter supporting commercial customers.

DESCRIPTION:

As an AI Applications Intern, you’ll help design, prototype, and deliver real-world AI features for commercial clients. You’ll collaborate with BTI engineers and fellow interns, meet once per week as a group, and attend and present at customer demos to showcase progress and gather feedback.

RESPONSIBILITIES:

  • Build and iterate on AI features (e.g., intelligent assistants, classifiers, retrieval pipelines, automations) for commercial use cases.

  • Write clean, well-documented Python/TypeScript code and contribute to shared repos.

  • Prepare demo scripts, slides, and live walkthroughs; present your work during customer demos.

  • Evaluate models and prompts; run small experiments and track metrics (accuracy, latency, cost).

  • Implement basic data handling best practices (PII awareness, logging, config/secrets hygiene).

  • Collaborate in a weekly intern stand-up/working session; proactively communicate status and blockers.

  • Capture lessons learned and contribute to lightweight internal docs/playbooks.

Additional Duties:

  • LLMs and prompt engineering (function/tool use, RAG basics).

  • Data wrangling (CSV/JSON/Parquet), simple ETL, vector stores.

  • Cloud or app glue code (APIs, webhooks, small web UIs).

  • Evaluation harnesses and simple dashboards.

QUALIFICATIONS:

  • Currently pursuing a Bachelor’s or Master’s in CS, CE, EE, Data/AI, or related field—or equivalent experience.

  • Comfortable with Python (or TypeScript/JavaScript) and Git/GitHub workflows.

  • Basic understanding of machine learning or LLM concepts (fine-tuning vs. prompting, embeddings, evaluation).

  • Strong written and verbal communication; willing to present to customers.

  • Able to commit ~10 hours/week and attend a weekly group meeting (time set with the cohort).


Benefits of working at Brown Technologies Incorporated

Brown is proud to support the health and wellbeing of the people we employ. We offer a competitive, comprehensive benefits package that includes healthcare coverage, flexible spending accounts, 401(k) retirement plan with employer match, accrued paid time off, company-provided life insurance and disability coverage, an employee assistance program, professional development such as tuition reimbursement, and other benefits that support work-life balance. We are an employee-centric company that understands the individuals that comprise our workforce are our most important asset and are recognized as one of "The Best Place for Working Parents" in Huntsville, AL.

Brown Technologies Incorporation is an Equal Opportunity Employer

Brown Technologies Incorporated, headquartered in Huntsville, AL is a Woman-Owned and HUBZone certified small business. We are committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability status, protected veteran status, race, color, age, religion, national origin, citizenship, marital status, sex, sexual orientation, gender identity, pregnancy or genetic information. Selected applicant will be subject to a background investigation. BTI is an Equal Opportunity/Affirmative Action employer. For our complete EEO/AA and Pay Transparency statement, please visit our Career Center. U.S. citizenship is required for most positions.