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

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

A commitment to lifelong learning, keeping up to date with the latest technology trends, and a ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Pwc

AI & GenAI Data Scientist - Manager

Columbus, OH · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will leverage advanced technologies and techniques ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Cincinnati, OH · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will leverage advanced technologies and techniques ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Cleveland, OH · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will leverage advanced technologies and techniques ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Toledo, OH · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will leverage advanced technologies and techniques ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Accenture

Data Protection Sr. Analyst

Columbus, OH · Hybrid

$84K - $100K/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

$84K - $100K/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

Cincinnati, OH · Hybrid

$84K - $100K/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.

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 ...

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 ...

Aivra Health LLC

This role is ideal for entry level candidates and early-career professionals looking to build ... Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or ...

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All JobsEntry Level Data Annotation Tech JobsEntry Level Data Annotation Tech Jobs in Ohio

Entry Level Data Annotation Tech information

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 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.

Can I use ChatGPT for data annotation?

Entry Level Data Annotation Technicians can use ChatGPT to assist with labeling and categorizing data, especially for text-based tasks. However, human oversight is essential to ensure accuracy and consistency, as AI tools may not fully understand context or nuances in complex data annotation projects.

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.

Is it easy to get hired for data annotation?

Entry level data annotation jobs are generally accessible to beginners, as they often require minimal prior experience and focus on basic labeling skills. Employers typically look for attention to detail and the ability to follow instructions, and training is usually provided. Competition can vary depending on the platform and demand, but overall, these roles tend to have relatively straightforward hiring processes.

Can I do data annotation with no experience?

Entry level data annotation jobs typically do not require prior experience, as training is often provided to teach specific tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. Developing familiarity with annotation tools and understanding data labeling standards can improve job performance and opportunities for advancement.

How to get into data annotation tech?

To get into data annotation tech, candidates typically need basic computer skills and attention to detail. Many entry-level roles require no formal degree, but familiarity with tools like labeling platforms and understanding data types can be helpful. Gaining experience through online tutorials or certifications in data labeling can improve job prospects.

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 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
Infographic showing various Entry Level Data Annotation Tech job openings in Ohio as of June 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Data Scientist

Data Scientist

Proctor & Gamble

Cincinnati, OH

$85K - $122K/yr

Full-time

Posted 10 hours ago

Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

46th of 518 rated manufacturers

Job description

Job Location

CINCINNATI GENERAL OFFICES

Job Description

Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.

As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms. Your work will also integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will collaborate with Data andAI Engineeringteams to productionize these solutions, applying exploratory data analysis, feature engineering, and model buildingwithin cloud environmentson massive datasets to deliver accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.

Key Responsibilities:
  • Algorithm Design & Development:Directly contribute to the design and development of scalable Data Science algorithms.
  • Collaboration:Work closely with Data and Software Engineering teams to effectively productionize algorithms.
  • Data Analysis:Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
  • Coaching & Mentorship:Develop others as a technical coach, sharing your expertise and insights.
  • Expertise Development:Become a known expert in one or multiple Data Science techniques and methodologies.

Job Qualifications

Required Qualifications:

  • Education:Pursuing or has graduated with a Master's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience.
  • Technical Skills:Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas.Demonstrated ability to develop and test code within cloud environments.
  • Communication:Strong written and verbal communication skills, with the ability to influence others to take action.

Preferred Qualifications:

  • Analytic Methodologies:Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems.
  • Continuous Learning:A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques.
  • Data Handling & Cloud:Experience with large datasets anddeveloping incloud computing platforms such as GCP or Azure.
  • DevOps Familiarity:Familiarity with DevOps environments, including tools like Git and CI/CD practices.

Immigration Sponsorship is not available for this role. For more informationregardingwho is eligible for hire at P&G along with other work authorization FAQ's, please clickHERE.

Procter & Gambleparticipatesine-verifyas required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

We will ensure that individuals with disabilities are provided reasonable accommodation toparticipatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Schedule

Full time

Job Number

R000135859

Job Segmentation

Entry Level

Starting Pay / Salary Range

$85,000.00 - $122,200.00 / year

What Procter & Gamble employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Procter & Gamble logo

About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837

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