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Entrylevel Ai Data Labeling Jobs in Florida (NOW HIRING)

By interpreting data to inform insights and recommendations, you will contribute to the broader ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entrylevel Ai Data Labeling information

What is the difference between Entrylevel Ai Data Labeling vs Data Annotation Specialist?

AspectEntrylevel Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; basic skills, sometimes certifications in data management
Work EnvironmentRemote or on-site, repetitive tasksRemote or on-site, similar repetitive tasks
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries

Both roles involve labeling data for AI training, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' may imply a broader scope or more specialized tasks, but both are entry-level roles focused on preparing data for machine learning models.

What are popular job titles related to Entrylevel Ai Data Labeling jobs in Florida?

For Entrylevel Ai Data Labeling jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Entrylevel Ai Data Labeling jobs in Florida look for?

The top searched job categories for Entrylevel Ai Data Labeling jobs in Florida are:

What cities in Florida are hiring for Entrylevel Ai Data Labeling jobs?

Cities in Florida with the most Entrylevel Ai Data Labeling job openings:

Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate

Pwc

Tampa, FL

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Risk Architecture

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work.
In this role at PwC, you will design AI systems, engage in data wrangling, and implement software to enable scalable AI models. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. Your work will contribute to the broader objectives of your projects, fitting into the overall strategy and reinforcing professional and technical standards.
Responsibilities
- Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
- Developing scalable software and platform systems using advanced algorithms and data engineering techniques
- Collaborating with clients to understand their needs and deliver tailored data solutions
- Utilizing programming languages such as Python and Java to build and deploy AI models
- Integrating data from various sources to enhance data quality and infrastructure
- Applying machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance
- Conducting complex data analysis to support informed decision-making and business growth
- Building and maintaining data pipelines to streamline data processing and analysis
- Leveraging natural language processing tools to develop innovative text analytics solutions
- Mentoring junior team members and guiding them in technical and professional development
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: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and Java for complex data analysis and modeling
- Excelling in data integration and data pipeline development
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

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.

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