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Intern Data Annotation Tech Jobs in Texas (NOW HIRING)

Tetra Tech

Civil Engineer Intern

San Antonio, TX

$15.75 - $20.50/hr

The Opportunity Join Tetra Tech's San Antonio team as a Civil Engineering Intern and gain hands-on ... Participate in field visits, site investigations, and data collection as needed. * Collaborate with ...

Principal Software

Marketing Intern

Allen, TX · On-site

$15/hr

Costa Mesa or Allen, TX Pay Rate: $15.00 on W2 Duration: 3 Months IT Services Intern Program in ... API, Data Fabric, and App Canvas. If you are advantageous in gaining experience in marketing ...

Sabre

Internal Audit Intern

Fort Worth, TX

$14.50 - $19.25/hr

Sabre is an AI-native technology leader, backed by one of the world's largest travel data clouds ... We are seeking an Internal Audit Intern to join our Global Audit and Risk Management team, where ...

New

Tetra Tech, Inc.

Civil Engineer Intern

San Antonio, TX · On-site

$15.75 - $20.50/hr

The Opportunity Join Tetra Tech's San Antonio team as a Civil Engineering Intern and gain hands-on ... Participate in field visits, site investigations, and data collection as needed. * Collaborate with ...

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All JobsIntern Data Annotation Tech JobsIntern Data Annotation Tech Jobs in Texas

Intern Data Annotation Tech information

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. The application process is often straightforward, with many companies offering entry-level positions that do not require extensive experience or certifications.

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 can range from minimum wage to above average, depending on experience and location. Entry-level roles often pay around $10 to $15 per hour, with higher rates for skilled annotators or those working on specialized projects. Compensation can also include flexible schedules and remote work options.

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, with tasks often performed remotely or in a supervised environment.

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.

Can I do data annotation with no experience?

Intern Data Annotation Tech roles often do not require prior experience, as training is typically provided to teach basic annotation tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation software and understanding data labeling standards can improve performance over time.

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

Data Movement Architecture Intern

Tenstorrent University Jobs

Austin, TX • On-site

$50 - $70/hr

Internship

Posted 25 days ago

Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Our team has built a high-performance RISC-V CPU from the ground up and is committed to building the best AI platform possible. We value collaboration, curiosity, and a passion for solving hard technical problems across software, compute, networking, and semiconductors.
As part of the Platform Architecture team, the Data Movement Architecture Intern will help shape the performance of our next-generation AI, CPU, and heterogeneous platforms. You'll work closely with architects and software engineers to design, model, and analyze how data movement subsystems impact system behavior and application-level performance.
This role isremote, based out of Austin, TX, Santa Clara, CA or Fort Collins, CO.
Who You Are
  • A highly motivated student who enjoys deep technical exploration and performance analysis.
  • Curious about how data moves across compute, memory, and networking in complex AI/CPU systems.
  • Comfortable interpreting simulation data and evaluating architecture tradeoffs.
  • A strong communicator who collaborates well across multidisciplinary teams.

What We Need
  • Pursuing an MS/PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
  • Solid understanding of computer architecture topics such as interconnects, memory hierarchies, and caching.
  • Proficiency in C/C++ and scripting languages like Python or Shell.
  • Experience with RTL design and simulation.

What You Will Learn
  • Designing and optimizing data movement subsystems including CPU controllers, DMA engines, and accelerators.
  • Conducting performance exploration for CPU controller features and system-level data movement.
  • Performing PPA analysis and developing reduced data movement kernels for modeling and emulation.
  • Working with software, RTL, and architecture teams to understand real-world AI/CPU workloads.

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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