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Internship Ai Data Rater Jobs in Washington (NOW HIRING)

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

... of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases ... Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality ...

Data Protection Sr. Analyst

Washington, DC · Hybrid

$84.80K - $100.70K/yr

Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Internship Ai Data Rater information

What are the key skills and qualifications needed to thrive as an Internship AI Data Rater, and why are they important?

To thrive as an Internship AI Data Rater, you need strong analytical skills, attention to detail, and basic knowledge of data annotation or evaluation, often supported by a background in computer science or a related field. Familiarity with data labeling platforms, evaluation tools, and sometimes basic programming or spreadsheet software is typically required. Excellent communication, critical thinking, and the ability to follow detailed guidelines set top performers apart. These skills ensure accurate data evaluation, which is essential for training and improving AI systems.

What does a typical day look like for an AI Data Rater intern, and how does this role contribute to AI development?

As an AI Data Rater intern, your day often involves reviewing, labeling, and assessing various data sets, such as text, images, or audio, to ensure quality and relevance for machine learning models. You'll work closely with data scientists and annotation teams, providing critical feedback that directly impacts AI accuracy and performance. Regular tasks might include evaluating search results, rating chatbot responses, or categorizing visual content according to specific guidelines. This role is crucial in shaping how AI systems understand and interact with real-world information.

What is an Internship AI Data Rater?

An Internship AI Data Rater is an entry-level role where individuals evaluate and label data to help improve artificial intelligence systems. This typically involves reviewing text, images, audio, or video and providing feedback or annotations according to specific guidelines. The work helps train machine learning algorithms to better understand and process information. Interns in this position gain valuable experience in AI and data handling, while contributing to the development of smarter technologies.

What is the difference between Internship Ai Data Rater vs Data Annotator?

AspectInternship Ai Data RaterData Annotator
Required CredentialsHigh school diploma or equivalent; some roles may prefer coursework in data or AIHigh school diploma or equivalent; training provided on the job
Work EnvironmentRemote or on-site; part-time internship settingRemote or on-site; often entry-level position
Employer & Industry UsageTech companies, AI startups, research institutionsTech companies, data service providers, AI development firms

The Internship Ai Data Rater typically involves a temporary, learning-focused role where interns assist in evaluating AI outputs, often with some guidance. Data Annotators perform the essential task of labeling data to train AI models, usually as an entry-level position. While both roles involve data handling and are used in AI development, the internship emphasizes training and experience, whereas data annotators focus on data preparation tasks.

What are the most commonly searched types of Ai Data Rater jobs in Washington? The most popular types of Ai Data Rater jobs in Washington are:
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What cities in Washington are hiring for Internship Ai Data Rater jobs? Cities in Washington with the most Internship Ai Data Rater job openings:
Skillbridge Internship- AI Software Engineer

Skillbridge Internship- AI Software Engineer

Knexus Research Corporation

Vienna, VA

$80K - $150K/yr

Full-time

Posted 19 days ago


Job description

Do you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoD challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!

About the Role: During your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.

Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.

Responsibilities

  • Build unique and custom AI solutions for DoD agencies.
  • Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.
  • Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios. Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.
  • Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.
  • Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.

Qualifications and Experience

  • Degree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.
  • Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!
  • Warfare qualification is a plus

Salary Range upon the successful completion of the program: $80,000 - $150,000


You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.

  • Defense Logistics Agency (DLA)
  • Naval Surface and Mine Warfighting Development Center (SMWDC)
  • Surface Warfare Officer School (SWOS)
  • Department Head tour as a Surface Warfare Officer (SWO)
  • NAVAIR
  • Office of Naval Research
  • Naval Research Lab
  • DARPA