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Entry Level Data Annotation Tech Jobs in Ohio (NOW HIRING)

Battelle

Data Scientist I

Columbus, OH · On-site

This position is responsible for performing entry level analysis of program-related data, including ... A Work Environment Where You Succeed For brilliant minds in science, technology, engineering and ...

SynergisticIT

Jr. Data Scientist

Cincinnati, OH

Synergistic It Software Programmer Position Synergistic IT wants every candidate to know we are ... Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ...

U.S. Army

Information Technology Specialist

Lebanon, OH · On-site

$40K - $80K/yr

Army (Entry-Level, No Experience Needed) Full-time | Part-time | Contract | Paid Training | U.S ... Data-processing technician. * Computer programmer. Army PaYS Program: * Guaranteed job interviews ...

U.S. Army

Information Technology Specialist

Columbus, OH · On-site

$40K - $80K/yr

Army (Entry-Level, No Experience Needed) Full-time | Part-time | Contract | Paid Training | U.S ... Data-processing technician. * Computer programmer. Army PaYS Program: * Guaranteed job interviews ...

U.S. Army

Information Technology Specialist

Hilliard, OH · On-site

$40K - $80K/yr

Army (Entry-Level, No Experience Needed) Full-time | Part-time | Contract | Paid Training | U.S ... Data-processing technician. * Computer programmer. Army PaYS Program: * Guaranteed job interviews ...

Forhyre

OH

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

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Entry Level Data Annotation Tech information

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

To thrive as an Entry Level Data Annotation Tech, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation software, data labeling platforms, and basic spreadsheet tools is typically required. Patience, consistency, and effective communication help ensure accuracy and efficient teamwork. These skills and qualities are essential for delivering high-quality labeled data that supports machine learning and AI development.

What are some common challenges faced by Entry Level Data Annotation Techs, and how can they be managed?

Entry Level Data Annotation Techs often encounter challenges like maintaining focus during repetitive tasks, ensuring accuracy under tight deadlines, and adapting to evolving annotation guidelines. To manage these, it's helpful to take regular breaks, double-check your work, and actively seek feedback from supervisors. Collaborating with teammates and participating in training sessions can also improve both speed and consistency, making the work more manageable and rewarding.

What is an Entry Level Data Annotation Tech?

An Entry Level Data Annotation Tech is responsible for labeling and categorizing data, such as images, text, or audio, to help train machine learning models. This role typically involves using specialized software to accurately tag and classify data according to specific guidelines. It is a foundational position within the field of artificial intelligence and data science, requiring attention to detail and consistency. No advanced technical skills are usually required, making it a suitable entry point for those interested in AI or data-related careers.

What is the difference between Entry Level Data Annotation Tech vs Entry Level Data Labeler?

AspectEntry Level Data Annotation TechEntry Level Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech-focusedRemote or on-site, tech-focused
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, autonomous vehicles

Both roles involve labeling data for AI training, requiring similar skills and environments. The main difference lies in terminology; 'Data Annotation Tech' emphasizes the technical aspect of annotation, while 'Data Labeler' is a more general term. Both are entry-level positions vital for AI development in tech industries.

What are the most commonly searched types of Data Annotation Tech jobs in Ohio? The most popular types of Data Annotation Tech jobs in Ohio are:
What are popular job titles related to Entry Level Data Annotation Tech jobs in Ohio? For Entry Level Data Annotation Tech jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Annotation Tech jobs in Ohio look for? The top searched job categories for Entry Level Data Annotation Tech jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Data Annotation Tech jobs? Cities in Ohio with the most Entry Level Data Annotation Tech job openings:
Entry Level Data Annotation Tech jobs near you
Junior Data scientist/full stack Developer-remote

Junior Data scientist/full stack Developer-remote

SynergisticIT

Hamilton, OH

$57.20K - $74.30K/yr

Other

Posted 27 days ago

Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000.00 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level job positions.

We regularly interact with the top tech companies to give our candidates a competitive advantage. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, docker, jenkins, github, kubernates and REST API's experience. For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, sagemaker, python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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