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

Dhalite Inc.

Data Operations Associate

Columbus, OH

We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The ... Bachelor's degree in Mathematics, Statistics, Business, IT, or a related field * Basic knowledge of ...

Sogeti

Entry Level Technology Consultant

Columbus, OH · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Insights & Data From your first day, you could be contributing to real client initiative s ...

GPD Group

Entry-Level Civil Engineer

Akron, OH

Bachelor's degree of Civil Engineering or Civil Engineering Technology. * AutoCAD experience ... Some travel and field work to collect data and develop solutions. * Project planning. * Develop ...

GPD Group

Entry-Level Civil Engineer

Columbus, OH

Bachelor's degree of Civil Engineering or Civil Engineering Technology. * AutoCAD experience ... Some travel and field work to collect data and develop solutions. * Project planning. * Develop ...

Accenture

Data Protection Sr. Analyst

Cincinnati, OH · Hybrid

$84.80K - $100.70K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Accenture

Data Protection Sr. Analyst

Cleveland, OH · Hybrid

$84.80K - $100.70K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Accenture

Data Protection Sr. Analyst

Columbus, OH · Hybrid

$84.80K - $100.70K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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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

Data Operations Associate

Dhalite Inc.

Columbus, OH

Other

Posted 3 days ago

Job description

Job Title: Data Operations Associate

Job Summary:
We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The candidate will help collect, organize, and analyze data to support business decisions. This position is ideal for entry level candidates or candidates looking to start their career in data analysis.

Responsibilities:
  • Collect, organize, and maintain data from different sources
  • Analyze data and prepare simple reports for management
  • Identify trends, patterns, and insights from data
  • Assist in maintaining accurate databases and records
  • Support teams by providing data-related information
  • Create charts, summaries, and presentations based on findings
  • Ensure data accuracy and consistency in reports
Requirements:
  • Bachelor’s degree in Mathematics, Statistics, Business, IT, or a related field
  • Basic knowledge of Microsoft Excel and data handling
  • Strong analytical and problem-solving skills
  • Good written and verbal communication skills
  • Attention to detail and accuracy
  • Ability to work in a team environment
  • Eagerness to learn and develop analytical skills
Preferred Skills:
  • Basic understanding of data reporting and analysis
  • Time management and organizational skills
  • Ability to handle confidential information professionally
 
 
 
 
 
 
 
 
 
 

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