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Intern Cnn Jobs (NOW HIRING)

Hawke Media

Marketing Account Manager

Tucson, AZ · On-site

We've been featured in Forbes, Entrepreneur, INC, Business Insider, and CNN, and we boast clients ... Provides project direction to Account Coordinator(s) and/or Intern(s) regarding projects they are ...

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How much do intern cnn jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for intern cnn in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does an intern at CNN do?

An Intern at CNN typically assists with a variety of tasks, such as researching stories, helping with production, fact-checking, and supporting reporters and producers. Interns may work across different departments, including editorial, digital, and broadcast. They gain hands-on experience in journalism and media operations, learning how news is gathered, produced, and delivered to audiences. This role is designed to help students or recent graduates develop practical skills and industry knowledge in a fast-paced news environment.

What are some common responsibilities and learning opportunities for an intern at CNN?

As an Intern at CNN, you can expect to support producers, reporters, and editors with tasks such as research, fact-checking, transcribing interviews, and assisting with live broadcasts. Interns often have the chance to observe newsroom operations, attend editorial meetings, and contribute to digital content. This hands-on experience helps interns understand the fast-paced nature of news media and develop valuable journalism and production skills. Additionally, interns are encouraged to network with professionals across departments, which can be beneficial for future career growth in media and communications.

What are the key skills and qualifications needed to thrive as a CNN intern, and why are they important?

To thrive as a CNN Intern, you generally need strong research, writing, and communication skills, often supported by coursework or experience in journalism, media, or communications. Familiarity with newsroom software, social media platforms, and content management systems is typically expected. Initiative, adaptability, and collaboration are standout soft skills for this fast-paced media environment. These skills and qualities are crucial for producing accurate, engaging content and effectively supporting newsroom operations.

What is the difference between Intern Cnn vs Intern News Agency?

AspectIntern CnnIntern News Agency
CredentialsTypically pursuing journalism, media, or communications degreeSimilar educational background in journalism or media studies
Work EnvironmentMajor news network, fast-paced newsroom, multimedia platformsNews agency setting, reporting, research, and content creation
Employer & Industry UsageUsed by CNN, major broadcasters, media outletsCommon in global news agencies like Reuters, AP

Intern Cnn and Intern News Agency roles share similar educational requirements and work environments focused on journalism and media. The main difference lies in the employer: CNN is a major broadcast network, while news agency internships are with organizations like Reuters or AP, often emphasizing reporting and content distribution on a broader scale.

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Intern Cnn jobs near you
Infographic showing various Intern Cnn job openings in the United States as of August 2026, with employment types broken down into 22% Internship, 1% As Needed, 48% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Artificial Intelligence/Machine Learning SME

Scientific Research Corporation

Augusta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Description
Scientific Research Corporation (SRC) is seeking a highly experienced Subject Matter Expert (SME) in AI/ML Engineering to support the Test Resource Management Center's operation of the Artificial Intelligence Digital Engineering Test Laboratory (AIDETL) in Augusta, Georgia. This role will be pivotal in developing the next generation of government AI Test & Evaluation professionals for the Department of War.
In this role, you will work alongside other SME's, students, interns, engineers, AI and DE experts from academia and other industry teammates to translate operational and strategic requirements into educational opportunities as well as scalable, production-ready solutions. You will contribute directly to product planning, execution, intern mentoring and continuous improvement-helping ensure qualified individuals are delivered efficiently to the Department of War and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, mentorship program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, have strong interpersonal skills and the willingness to mentor interns, must be comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities and training individuals with real-world national security outcomes.
Responsibilities will include, but may not be limited to:
  • Serving as the primary Subject Matter Expert on AI/ML Engineering for the AIDETL Interns and staff, providing authoritative guidance on AI strategy, architecture, policy, and implementation aligned with the AIDETL's mission objectives
  • Providing expert-level training, workshops, and briefings to AIDETL Interns on AI/ML concepts and AI/ML best practices
  • Assisting in AIDETL curriculum development
  • Building and maintaining data pipelines for efficient data processing and model training
  • Training and tuning algorithms to improve predictive accuracy and decision-support tasks
  • Deploying models into production environments, ensuring reliability and performance
  • Identifying and integrating appropriate COTS, government, and custom tools within established frameworks
  • Collaborating with cross-functional teams to ensure alignment with enterprise architecture and security requirements
  • Staying updated on industry trends and advancements in AI/ML technologies
  • Developing and implementing best practices for model development and deployment
  • Ensuring compliance with cybersecurity policies and standards throughout the project lifecycle
  • Analyzing system performance metrics and recommend improvements for efficiency and scalability

FILLING THIS POSITION IS CONTINGENT UPON FUNDING
#LI-HK1
Requirements
  • Secret clearance
  • Bachelor's degree in computer science, Data Science, Artificial Intelligence, Engineering, or related technical discipline and 12-15 years of relevant experience OR Master's degree in a related field and 10-13 years of relevant experience.
  • 5 + years designing, building, and operating end-to-end AI/ML infrastructure (data ingestion, feature pipelines, model training, and serving) in production environments.
  • Expert-level proficiency with at least two of the following: TensorFlow, PyTorch, JAX, or Scikit-Learn, including design of deep-learning architectures (CNN, RNN, Transformer) and model-explainability methods (SHAP, LIME, Counterfactuals).
  • Proven ability to build end-to-end MLOps pipelines (CI/CD, automated testing, model versioning, monitoring) using Kubeflow, MLflow, TFX, or similar tools, and to deploy models in production and development environments.
  • Experience instrumenting pipelines with Prometheus, Grafana, CloudWatch/Stackdriver, Open Telemetry; implementing automated model-drift detection, data-quality checks, and compliance/audit trails.
  • Ability to translate complex business problems (e.g., computer vision, NLP, predictive maintenance, anomaly detection) into robust ML solutions and evaluate them against domain-specific KPIs (accuracy, latency, cost, safety).
  • Strong programming skills in languages such as Python, R, or Java.
  • Strong problem-solving abilities and analytical thinking.
  • Strong communication and interpersonal skills.
  • Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.
  • Experience mentoring junior engineers, leading cross-functional AI projects, and clearly communicating technical concepts to both technical and non-technical audiences (executives, product owners, compliance teams).
  • Excellent documentation and presentation skills are required Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes).
  • Strong project management skills with the ability to own initiative execution from start to finish, adapting to evolving AIDETL curriculum needs and mission priorities.

Desired Skills
  • 12+ years of experience in AI/ML and/or data engineering or related fields.
  • Experience leading and managing Agile SCRUM teams. (Strong familiarity with Agile Scrum processes and methodologies)
  • Experience supporting AI/ML solutions across multi-enclave DoD environments.
  • Experience implementing automated model validation, bias detection, and drift monitoring frameworks.
  • Experience integrating AI services into enterprise APIs and microservices architectures.
  • Experience optimizing GPU-based training and inference pipelines.
  • Experience supporting enterprise-scale analytics, data platforms, or AI modernization initiatives.
  • Publications, patents, or open-source contributions that demonstrate thought-leadership in emerging AI areas such as foundation models, reinforcement learning, federated learning, or privacy-preserving ML.
  • Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems.
  • Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI.
  • Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency.
  • Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen.

Clearance Information
SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE SECRET LEVEL
Travel Requirements
  • 10% travel primarily to Academic institutions, but also to cyber and physical ranges or industry events

About Us
Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.
SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals with amounts increasing based on role and years of service, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
EEO
Scientific Research Corporation is an equal opportunity employer that does not discriminate in employment. All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected characteristic under federal, state or local law.
Scientific Research Corporation endeavors to make www.scires.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact jobs@scires.com for assistance. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

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