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Data Annotation Ai Trainer Jobs in Tennessee (NOW HIRING)

Oracle

AI Accelerator Solutions Engineer

Nashville, TN · On-site

Mentors less experienced team members to define data annotation and labeling processes to ensure ... Proactively seeks and leverages ongoing feedback and training to improve skills. * Coaches and ...

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Data Annotation Ai Trainer information

How much do data annotation AI trainers make?

Data annotation AI trainers typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level positions may pay closer to minimum wage, while experienced trainers with specialized skills can earn higher wages, especially when working on large datasets or with advanced annotation tools.

What is a data annotation AI trainer?

A Data Annotation AI Trainer is responsible for labeling and annotating data to help train machine learning models. This involves identifying objects, tagging text, or categorizing images to improve AI accuracy. The role requires attention to detail and an understanding of guidelines to ensure high-quality labeled data. AI trainers work closely with data scientists and engineers to refine model performance through precise annotations.

What are the key skills and qualifications needed to thrive as a data annotation AI trainer?

To thrive as a Data Annotation Ai Trainer, you need a keen attention to detail, basic data analysis skills, and familiarity with machine learning concepts, often supported by a relevant degree or coursework. Experience with annotation tools like Labelbox, Supervisely, or similar platforms, along with knowledge of data privacy standards, is commonly required. Strong communication, problem-solving ability, and patience help you work effectively in teams and ensure data quality. These skills are essential because they directly influence the accuracy and effectiveness of AI models trained using annotated data.

What does a data annotation AI trainer do?

As a Data Annotation Ai Trainer, your typical day involves reviewing and labeling large datasets, providing feedback to annotation teams, and ensuring that data quality meets project standards. You'll often collaborate with data scientists, machine learning engineers, and project managers to clarify guidelines and resolve ambiguities. Periodically, you may help develop or refine documentation and training materials to improve annotation consistency. The role requires both independent work and open communication to maintain high accuracy and support AI development initiatives.

Is data annotation AI trainer job legitimate?

Data annotation AI trainer jobs are legitimate roles involving labeling data to help train machine learning models. These positions often require attention to detail and familiarity with annotation tools, and they are commonly offered by technology companies and AI service providers. However, job seekers should verify the employer's credibility to avoid scams.
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Data Annotation Ai Trainer jobs near you
Infographic showing various Data Annotation Ai Trainer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI Accelerator Solutions Engineer

Oracle

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Oracle rating

8.7

Company rating: 8.7 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

55th of 242 rated software companies

Job description


OCI is looking for an AI Solutions Engineer that helps the Business Operations team transform manual processes into trusted, repeatable AI-assisted solutions. This role combines workflow architecture, AI tooling, systems integration, and operational problem-solving to deliver scalable solutions that drive efficiency and adoption.
Responsibilities
Key Responsibilities
Data Processing & Pipelining - Data Requirements, Collection, and Infrastructure:
  • Mentors less experienced team members to identify data requirements and business objectives of a project or initiative.
  • Provides expertise on the design and participates in building of data infrastructure to optimize data processing from a variety of data sources.
  • Independently analyzes, designs, and troubleshoots data flows based on business needs.
  • Participates and designs architecture, performance, and security reviews of the technical solution.
  • Adjusts data collection processes that involve indexing and query optimizations for optimal performance.
  • Builds Extract, Transform, and Load (ETL) pipelines to support efficient and scalable data collection and extraction.
  • Engages with and holds the upstream and downstream teams accountable for the predefined service level agreements (SLAs).
  • Manages relationships with the data providers.

Data Processing & Pipelining - Data Governance:
  • Independently designs and implements data governance policies and procedures for data handling (e.g., data retention) to manage data consistency, integrity, accuracy, and reliability throughout the data lifecycle.
  • Leads the execution of redaction processes for Personally Identifiable Information (PII) and Protected Health Information (PHI) data, ensuring compliance with data privacy and security standards.
  • Ensures minimal data collection and usage in accordance with data minimization principles.
  • Follows data security measures to protect data from unauthorized access, use, disclosure, alteration, or destruction, proactively identifying and escalating potential issues.
  • Ensures data compliance with relevant laws, regulations, and industry standards.

Data Processing & Pipelining - Data Validation & Quality Assurance:
  • Provides expertise on and participates in the design and implementation of rigorous data validation and integrity checks, proactively mitigating data quality issues that could impact data pipeline and model performance.
  • Mentors less experienced team members to define data annotation and labeling processes to ensure data quality.
  • Identifies opportunities for automation of data validation and governance, and implements them.
  • Independently corrects deviations and non-conformance when identified.

Data Pipeline and Solutions Engineering - Pipeline Design:
  • Leverages advanced knowledge of ETL processes to design, develop, and optimize automated, scalable, and efficient data pipeline architectures to build reusable data products.
  • Implements advanced data storage solutions to store the processed data to be used in a scalable, optimized, and efficient way for access and analysis.
  • Mentors less experienced team members to manage the flow of data pipeline and storage day-to-day operations.

Data Pipeline and Solutions Engineering - Data Solutions Engineering:
  • Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost effective, and reliable.
  • Reviews runnable code and works on testing and debugging of data solutions with less experienced team members.
  • Evaluates new technologies to create more robust data solutions.
  • Enforces and documents code standards and guidance within the team.
  • Creates documentation for design decisions, and obtains feedback from the broader architecture team before implementing.
  • Gathers data and evidence to secure necessary approvals.

Core Responsibilities
Planning & Execution:
  • Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately sized project or initiative.
  • Efficiently delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines.

Collaboration & Partnership:
  • Collaborates across the organization to align on expectations and achieve shared objectives.
  • Leverages understanding of business leaders, stakeholders, and/or customers to ensure proposed solutions meet their needs.
  • Supports inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected.

Problem Solving:
  • Identifies and addresses moderately complex issues by analyzing a wide range of data and/or information to identify solutions in accordance with standard practices.
  • Proactively escalates unresolved or critical issues with a thorough assessment and suggests potential solutions.
  • Reviews, contributes to, and documents problem solving strategies.

Continuous Learning:
  • Pursues learning opportunities to expand knowledge and skills and/or tools in new areas and stays abreast of the latest industry trends and best practices.
  • Proactively seeks and leverages ongoing feedback and training to improve skills.
  • Coaches and mentors junior team members, fostering continuous learning and knowledge sharing within and across teams.

Continuous Improvement:
  • Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders.
  • Solicits feedback from others on ideas for alternative approaches and methods for continued improvement.

Performance and Development:
  • Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations.

Qualifications
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
About Us
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That's why we're committed to creating a workforce where all individuals can do their best work. It's when everyone's voice is heard and valued that we're inspired to go beyond what's been done before.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Redwood City, CA, US

Year founded

1977

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