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Entry Level Artificial Intelligence Jobs in Reston, VA

Aerotek

Low Voltage Technician

Manassas, VA · On-site

$22 - $26/hr

Now Hiring: Cable Technician (Entry-Level) Pay: $23 per hour Location: Manassas, Virginia, USA ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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Entry Level Artificial Intelligence information

What is the difference between Entry Level Artificial Intelligence vs Entry Level Data Scientist?

AspectEntry Level Artificial IntelligenceEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentTech companies, research labs, startupsBusiness, finance, healthcare, tech firms
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models
Common Search IntentEntry level AI roles, AI job requirementsEntry level data science roles, data analysis jobs

Entry Level Artificial Intelligence roles focus on developing AI models and algorithms, often requiring programming and machine learning knowledge. Entry Level Data Scientist positions involve analyzing data and creating predictive models, with overlapping skills but different focus areas. Both roles are common in tech-driven industries and require similar educational backgrounds, but they serve distinct functions within organizations.

What are entry level artificial intelligence jobs?

Entry level artificial intelligence jobs are positions designed for individuals starting their careers in AI. These roles typically involve supporting data scientists, machine learning engineers, or AI researchers by collecting and preparing data, building simple models, and conducting basic analyses. They may also include roles like AI research assistant, junior machine learning engineer, or AI software developer. Entry-level positions usually require foundational knowledge of programming languages such as Python, familiarity with AI concepts, and sometimes basic experience with machine learning libraries. These jobs provide an opportunity to learn on the job and grow into more specialized AI roles over time.

What are some common challenges entry-level professionals face when starting a career in artificial intelligence, and how can they overcome them?

Entry-level professionals in artificial intelligence often encounter challenges such as bridging the gap between theoretical knowledge and real-world application, keeping up with the fast pace of technological advancements, and collaborating effectively within multidisciplinary teams. To overcome these hurdles, it's helpful to seek mentorship, participate in open-source projects, and continuously update your skills through online courses and workshops. Building strong communication skills will also help when working with colleagues from different backgrounds, such as data engineers, software developers, and business stakeholders.

What are the key skills and qualifications needed to thrive as an Entry Level Artificial Intelligence professional, and why are they important?

To thrive as an Entry Level Artificial Intelligence professional, you need a solid understanding of programming languages (such as Python), basic statistics, and machine learning concepts, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using data processing libraries are typically required. Analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and interpret data-driven results. These skills are crucial for building reliable AI solutions and contributing effectively to rapidly evolving projects.

What Are the Qualifications to Get an Entry-Level Artificial Intelligence Job?

The qualifications necessary for an entry-level artificial intelligence job depend on the exact job that you choose to pursue. You typically need a bachelor’s degree to start in this field. Common degree paths involve various types of math, physics, robotics, cognitive science therapy, graphical modeling, engineering, Bayesian networking, and computer programming languages, science, and coding. Several skills are also helpful, such as being able to work well with others, strong communication skills, the ability to translate highly technical information, and excellent problem-solving abilities.

More about Entry Level Artificial Intelligence jobs
What are the most commonly searched types of Artificial Intelligence jobs in Reston, VA? The most popular types of Artificial Intelligence jobs in Reston, VA are:
What are popular job titles related to Entry Level Artificial Intelligence jobs in Reston, VA? For Entry Level Artificial Intelligence jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Entry Level Artificial Intelligence jobs? Cities near Reston, VA with the most Entry Level Artificial Intelligence job openings:
Entry Level Artificial Intelligence jobs near you
Infographic showing various Entry Level Artificial Intelligence job openings in Reston, VA as of June 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Junior News Editor - Consulting

Sunwater Capital

North Bethesda, MD • On-site

$18 - $20/hr

Full-time, Contractor

Posted 10 days ago

Job description

Legis1 is a political news company with a fresh approach. We combine structured data, artificial intelligence, and real editorial expertise to produce accurate, high-volume coverage of government, legislation, and elections. We're building something new - and we want great editors to help shape it.
POSITION
We are hiring a team of 7 junior editors on a consulting basis to help review, edit, and improve AI-generated political news content. This is a great entry point for someone early in their editing or journalism career who wants hands-on experience at the cutting edge of AI-assisted newsrooms.
You do not need to be a tech expert. You do need to care about accuracy, clear writing, and how government works.
RESPONSIBILITIES
Daily Content Review & Editing
  • Read and edit AI-generated news stories about legislation, elections, voting records, and government activity
  • Check facts - bill numbers, vote counts, committee actions, election results
  • Correct grammar, tone, clarity, and structure
  • Flag stories that need a closer look before publication

Quality Control
  • Follow editorial guidelines to make sure every story meets accuracy and style standards
  • Help identify patterns in errors so the team can improve the AI's output over time
  • Apply consistent standards across different story types (short briefs, summaries, reports)

Editorial Support
  • Support senior editors with workflow tasks and content management
  • Help maintain organized editorial queues in a fast-paced, high-volume environment
  • Contribute feedback on what's working and what isn'tå

REQUIREMENTS
Required
  • Bachelor's degree in Journalism, English, Political Science, Public Policy, or a related field
  • Some editing or writing experience - internships, campus media, freelance, or entry-level roles count
  • Basic understanding of how U.S. government and legislation work
  • Strong attention to detail and ability to catch factual errors
  • Comfortable working independently and managing your own task queue
  • Proficiency in Microsoft Office and general digital tools

Nice to Have
  • Any experience with political journalism, policy writing, or civic content
  • Familiarity with AI writing tools (ChatGPT, etc.)
  • Experience with content management systems (CMS)
  • Coursework or interest in data journalism or digital media

Salary/Rate: $18.00 - $20.00/per hour depending on skills and experience.
Consulting / Contract Position
Legis1 is an equal opportunity employer. We welcome applicants from all backgrounds.
#Legis1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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