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Internship Data Labeling Jobs in New York (NOW HIRING)

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Internship Data Labeling information

What is an internship in data labeling?

An internship in data labeling involves assisting in the process of categorizing and annotating data, such as images, text, or audio, to help train machine learning models. Interns typically use specialized software to tag or classify data according to specific guidelines provided by the company or research team. This role is crucial for developing accurate artificial intelligence systems, as high-quality labeled data improves model performance. Data labeling internships are a great way to gain practical experience in the AI and machine learning field and learn more about data preprocessing workflows.

What types of tasks can I expect to handle daily as a data labeling intern?

As a Data Labeling Intern, your daily tasks typically include reviewing and accurately tagging data such as images, audio, or text according to specific guidelines provided by the company or project. You may use specialized annotation tools and work closely with data scientists, engineers, or QA teams to ensure high-quality, consistent labeling. Attention to detail is crucial, as your work directly impacts the performance of machine learning models. You might also participate in periodic team meetings to discuss challenges, clarify instructions, and receive feedback to improve labeling accuracy.

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

To excel in an Internship Data Labeling role, you need strong attention to detail, basic analytical skills, and proficiency with data entry or spreadsheet tools, often supported by a high school diploma or current university enrollment. Familiarity with labeling platforms, annotation tools, and sometimes basic programming or database systems is beneficial. Reliability, communication, and the ability to follow instructions precisely are key soft skills for standing out in this position. These skills ensure data accuracy and consistency, which are crucial for developing reliable AI and machine learning models.

What is the difference between Internship Data Labeling vs Data Labeling Specialist?

AspectInternship Data LabelingData Labeling Specialist
CredentialsTypically students or entry-level with basic skillsRelevant experience or certifications in data annotation
Work EnvironmentInternship programs, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageUsed as training or entry-level positionProfessional role with ongoing responsibilities
Search & Comparison IntentUnderstanding entry-level opportunities and trainingClarifying professional roles and career progression

Internship Data Labeling is an entry-level position designed for students or beginners gaining experience in data annotation. In contrast, Data Labeling Specialist is a professional role requiring prior experience or certifications, with more responsibility and independence. Internships serve as training grounds, while specialists handle ongoing data labeling tasks in a professional setting.

What are the most commonly searched types of Data Labeling jobs in New York?

The most popular types of Data Labeling jobs in New York are:

What are popular job titles related to Internship Data Labeling jobs in New York?

For Internship Data Labeling jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Data Labeling jobs in New York look for?

The top searched job categories for Internship Data Labeling jobs in New York are:

What cities in New York are hiring for Internship Data Labeling jobs?

Cities in New York with the most Internship Data Labeling job openings:

Internship Data Labeling jobs near you

Pharmacist - Acute Care 2-5 shifts/week

Flexstaff

New Hyde Park, NY • On-site

$68 - $85/hr

Full-time

Re-posted 17 days ago

Job description

FLEXSTAFF - PHARMACIST Saturday / Sunday 10PM - 6AM
Minumum one year Acute care Pharmacy experience required
POSITION SUMMARY

Interprets, compounds and dispenses medications and other pharmaceutical supplies, using standard physical and chemical procedures to fill written prescriptions issued by physicians, and other qualified prescribers. Enters drug orders into computer profile.

RESPONSIBILITIES

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  1. Interprets and enters drug orders and patient data into computer profile. Selects, prepares, and dispenses drug products to fill inpatient and outpatient prescriptions. Labels drug products as per procedure.
  2. Dispenses employee prescriptions, initiates profile system, and provides drug information.
  3. Interacts with health care personnel to provide information on drug action or delivery of various medications. Provides compatibility information for IV administration of various drugs.
  4. Screens for drug allergy and drug interactions. Notes drugs or classes of drugs contraindicated in specific disease states. Conducts pre-admission and discharge patient medication interviews upon request.
  5. Reviews patient charts and nursing medication-charting documents for accuracy and completeness to maintain accurate patient profile. Ensures drugs are reordered as per hospital policy and procedure.
  6. Maintains records and inventory of investigation drugs, controlled substances, and methadone. Maintains records of transactions and delivery.
  7. Manufactures, prepares, and labels compound and solutions, and other sterile products.
  8. Performs related duties, as required.

*ADA Essential Functions

REQUIRED EXPERIENCE AND QUALIFICATIONS
  1. Bachelors Degree in Pharmacy including internship, required. PharmD, preferred.
  2. Must possess current license to practice Pharmacy in New York State.
  3. Minimum of one (1) year related experience to ensure familiarity with it oncology pharmacy practice, preferred.
*Additional Salary Detail
The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).

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