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Entry Level Ai Data Annotation Jobs in Indiana (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Clinical Pharmacist

Carmel, IN

$112K - $134K/yr

This is an entry-level specialist position based out of our Carmel, IN or South San Francisco, CA ... Collaborate effectively while building knowledge of FDB data and its customer systems. * Occasional ...

Clinical Pharmacist

Carmel, IN · On-site

$112K - $134K/yr

This is an entry-level specialist position based out of our Carmel, IN or South San Francisco, CA ... Collaborate effectively while building knowledge of FDB data and its customer systems. * Occasional ...

Clinical Pharmacist

Indianapolis, IN · On-site

$113K - $135K/yr

This is an entry-level specialist position based out of our Carmel, IN or South San Francisco, CA ... Collaborate effectively while building knowledge of FDB data and its customer systems. * Occasional ...

Clinical Pharmacist

Carmel, IN

$112K - $134K/yr

This is an entry-level specialist position based out of our Carmel, IN or South San Francisco, CA ... Collaborate effectively while building knowledge of FDB data and its customer systems. * Occasional ...

Clinical Pharmacist

Carmel, IN

$112K - $134K/yr

This is an entry-level specialist position based out of our Carmel, IN or South San Francisco, CA ... Collaborate effectively while building knowledge of FDB data and its customer systems. * Occasional ...

Clinical Pharmacist

Carmel, IN

$112K - $134K/yr

This is an entry-level specialist position based out of our Carmel, IN or South San Francisco, CA ... Collaborate effectively while building knowledge of FDB data and its customer systems. * Occasional ...

Ensure compliance data is accurate, traceable, and audit defensible. * Oversight of critical ... Identify opportunities to leverage software, automation, and AI tools to improve the accuracy and ...

Ensure compliance data is accurate, traceable, and audit defensible. * Oversight of critical ... Identify opportunities to leverage software, automation, and AI tools to improve the accuracy and ...

New

Ensure compliance data is accurate, traceable, and audit defensible. * Oversight of critical ... Identify opportunities to leverage software, automation, and AI tools to improve the accuracy and ...

New

Ensure compliance data is accurate, traceable, and audit defensible. * Oversight of critical ... Identify opportunities to leverage software, automation, and AI tools to improve the accuracy and ...

Showing results 41-60

Entry Level Ai Data Annotation information

What is an entry level AI data annotation?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

What are some common challenges faced by entry level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

What are the key skills and qualifications needed to thrive as an entry level AI data annotation specialist?

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.
What are the most commonly searched types of Ai Data Annotation jobs in Indiana? The most popular types of Ai Data Annotation jobs in Indiana are:
What are popular job titles related to Entry Level Ai Data Annotation jobs in Indiana? For Entry Level Ai Data Annotation jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Annotation jobs in Indiana look for? The top searched job categories for Entry Level Ai Data Annotation jobs in Indiana are:
What cities in Indiana are hiring for Entry Level Ai Data Annotation jobs? Cities in Indiana with the most Entry Level Ai Data Annotation job openings:

Data Engineer - Senior Associate

Pwc

Indianapolis, IN

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Applying data architecture development and database management skills to optimize data solutions
- Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
- Building and managing data lakes and warehouses to support large-scale data storage and retrieval
- Confirming data quality and validation through rigorous testing and performance tuning
- Collaborating with clients to understand their data requirements and deliver actionable insights
- Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
- Implementing data security best practices to protect sensitive information and maintain compliance
- Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
- Supporting the development of data strategies to drive business growth and informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks
- Utilizing cloud platforms such as AWS and Microsoft Azure
- Excelling in data architecture development and data modeling
- Implementing data pipeline and data integration strategies
- Navigating complex data environments with Apache Hadoop and Airflow
- Applying critical thinking to solve data-related challenges

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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