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Intern Data Annotation Tech Jobs (NOW HIRING)

Octaura

Intern, Data Engineering

New York, NY · On-site

As an intern on the data engineering team you will work directly with our senior data engineers ... Common technology that you will use includes Python, Spark, Redshift, Apache Airflow, Terraform and ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT

Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students ... This means you'll gain a solid understanding of functions like Marketing, Risk, Credit, Technology ...

JSM & ASSOC LLC

Intern - Data Modeling Analyst

Apopka, FL · Remote

$20/hr

JSM Airport Services, LLC is seeking an Intern Data Modeling Analyst. The Data Modeling Analyst is ... The analyst works closely with IT, operations, CMMS, and leadership teams to ensure accurate data ...

Arthur Lawrence

Data Annotator

Fremont, CA

Experience in autonomous vehicle data annotation, including LiDAR/Point Cloud and 2D image labeling ... Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to train and evaluate ML models ...

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All JobsIntern Data Annotation Tech Jobs

Intern Data Annotation Tech information

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Interns in data annotation roles perform tasks like tagging and categorizing data using specialized tools, contributing to the development of accurate AI systems.

What are some common challenges faced by Intern Data Annotation Techs, and how can they overcome them?

Intern Data Annotation Techs often encounter challenges such as maintaining consistency in labeling large datasets and understanding nuanced instructions for annotation tasks. To overcome these hurdles, it's important to ask clarifying questions early on, regularly review annotation guidelines, and participate in team discussions about edge cases. Collaboration with more experienced annotators and feedback from supervisors also help in refining skills and ensuring high-quality data preparation. Developing attention to detail and adaptability will contribute to a successful internship experience.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that vary by experience and location, with entry-level positions often paying minimum wage or slightly above. The pay can increase with skill development, familiarity with annotation tools, and the complexity of the data being labeled. Overall, data annotation jobs provide a modest income but are generally not high-paying roles.

What is the difference between Intern Data Annotation Tech vs Intern Data Labeler?

AspectIntern Data Annotation TechIntern Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or officeData labeling platforms, remote or office
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnnotating data for training AI modelsLabeling data for machine learning algorithms

Both roles involve preparing data for AI systems, with similar skills and work environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes technical annotation tasks, while 'Data Labeler' is a more general term. Both are entry-level positions vital for training AI models in the tech industry.

What is a data annotation intern?

A data annotation intern is a temporary position where individuals label or categorize data, such as images, text, or videos, to help train machine learning models. The role typically involves using annotation tools and requires attention to detail to ensure data accuracy, often under supervision or with specific guidelines.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies expand AI and machine learning projects. These positions often require attention to detail and familiarity with annotation tools, and they are available in various industries including tech, healthcare, and automotive. Hiring trends indicate steady opportunities for entry-level and remote data annotation jobs.

What are Intern Data Annotation Techs?

Intern Data Annotation Techs are entry-level professionals, often students or recent graduates, who support machine learning projects by labeling and categorizing data, such as images, text, or audio. Their work is essential for training AI systems, as accurately annotated data helps algorithms learn to make correct predictions. These interns typically use specialized software tools to tag or classify data according to specific guidelines. The role requires attention to detail, consistency, and sometimes basic technical skills, depending on the complexity of the data and tasks. Internships in data annotation can provide valuable exposure to the fields of artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as an Intern Data Annotation Tech, and why are they important?

To thrive as an Intern Data Annotation Tech, you need attention to detail, basic data management skills, and familiarity with data labeling concepts, often supported by a high school diploma or ongoing college coursework. Experience with annotation platforms, spreadsheet tools, and sometimes basic scripting languages is helpful. Strong communication, reliability, and the ability to follow detailed instructions are valuable soft skills in this role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable machine learning models.
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Intern Data Annotation Tech jobs near you
IT Intern - Data Architecture

IT Intern - Data Architecture

Bi-State Development

Saint Louis, MO • On-site

$14.50 - $19.50/hr

Full-time, Internship

Posted 4 days ago

Job description

IT Intern - Data Architecture
Headquarters Internship 20.00 - 20.00 (Annually)
Job Summary
To foster acollaborative learning environment where students can apply their academicknowledge to real-world challenges. This role aims to support various teams bycontributing fresh perspectives, enhancing project efficiency, and drivinginnovation, while simultaneously cultivating essential skills that preparestudents for successful careers in technology
Job Responsibilities
  • Deployments and Upgrades: Help implement new systems and perform application/system updates.
  • Script and Application Development: Write scripts or small applications to automate tasks.
  • Development Support: Assist with development and user acceptance testing activities.
  • Support troubleshooting efforts.
  • Documentationand Training: Maintain accurate documentation for applicationsand training.

Knowledge, Skills, and Abilities
TechnicalKnowledge and Skills :
  • Must be familiar with using the Microsoft OS platform (Windows 11), MS Office suite (Word, Excel, etc). Linux/Unix skills are also preferred but not required.
  • Must have coding skills in at least one or more languages. (example: C#, C++, PL/SQL, etc).
  • Preferred to have some troubleshooting and diagnostic skills.
  • Preferred to have scripting skills in one or more scripting languages. (example: Bash, Python, etc)
  • Preferred to have the ability to write and understand database SQL statements.
  • Familiarity with accounting, finance, HR, payroll or business process concepts is beneficial but not required.

Professional& Interpersonal Skills
  • Must have strong verbal and written communication skills to collaborate effectively with technical and non-technical teams.
  • Must have the ability to learn and use various logic and problem-solving techniques and show examples of such.
  • Must be a self-learner and motivator, willingness to learn new technologies and adjust to dynamic work environments and team needs.
  • Must have the ability to contribute positively to team efforts, share knowledge, and support group objectives.

AcademicProjects
  • College Coursework & Projects: The successful candidate will need to describe anyhands-on projects completed as part of their academic curriculum - such as aspecific application design and the programming steps/algorithms used. Detailsprovided of these types of projects will provide the candidate with a strongeradvantage and should be highlighted during the application submission andduring any subsequent interviews.

Compensation:
20.00 - 20.00 (Per Hour)
Employment Type:
Internship
Location:
Headquarters
Education:
Enrolled in a relevant degree program (e.g., Computer Science, Engineering, Information Technology, or related field) or recently graduated with bachelor's degree.
Computer Science, Engineering, MIS or related field
Equal Employment Opportunity (EEO)
Bi-State Development is proud to be an Equal Opportunity Employer.
Compensation Disclosure
Bi-State Development is committed to ensuring all employees are compensated fairly. The salary range provided reflects our current expectations for this position. However, final base salary or offer may vary depending on several factors, including skills, qualifications, experience, business needs, and budgetary considerations.

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