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Generative Ai Testing Jobs in Tennessee (NOW HIRING)

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

... for Generative AI and Agentic AI capabilities within the Assure Build Platform, ensuring ... testing automation, performance analysis, and operational intelligence. • Establish and enforce ...

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Understand the define technical vision, roadmap, and architecture for Generative AI and Agentic AI ... testing automation, performance analysis, and operational intelligence. * Establish and enforce ...

AI Lead Engineer

Nashville, TN · On-site

$99K - $130K/yr

Understand the define technical vision, roadmap, and architecture for Generative AI and Agentic AI ... testing automation, performance analysis, and operational intelligence. * Establish and enforce ...

AI Lead Engineer

Nashville, TN

$99K - $130K/yr

Understand the define technical vision, roadmap, and architecture for Generative AI and Agentic AI ... testing automation, performance analysis, and operational intelligence. * Establish and enforce ...

... generative AI. While AI-enabled teams will gain long-term competitive advantage, most workers today ... Conduct user research and usability testing and translate insights into design strategy and ...

Contributing to the integration of AI/ML models, including generative artificial intelligence and ... testing, deployment, or monitoring * Ability to travel 0-25%, on average, based on the work you do ...

Contributing to the integration of AI/ML models, including generative artificial intelligence and ... testing, deployment, or monitoring * Ability to travel 0-25%, on average, based on the work you do ...

Contributing to the integration of AI/ML models, including generative artificial intelligence and ... testing, deployment, or monitoring * Ability to travel 0-25%, on average, based on the work you do ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and programming. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development and quality assurance.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Tennessee? For Generative Ai Testing jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Tennessee look for? The top searched job categories for Generative Ai Testing jobs in Tennessee are:
What cities in Tennessee are hiring for Generative Ai Testing jobs? Cities in Tennessee with the most Generative Ai Testing job openings:
Infographic showing various Generative Ai Testing job openings in Tennessee as of June 2026, with employment types broken down into 13% Internship, 68% Full Time, 13% Part Time, and 6% Temporary. Highlights an 75% In-person, 6% Hybrid, and 19% Remote job distribution.
AI - Data Engineer

$110K - $132K/yr

Full-time

Posted 5 days ago


Job description

Job Description
Who We Are
Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and endorsements, media finance, consumer investing, fashion, trademark licensing, and philanthropy. Distinguished by its culture of collaboration and exceptional client service, CAA's diverse workforce identifies, innovates, and amplifies opportunities for the people and organizations that shape culture and inspire the world. The trailblazer of the agency business, CAA was the first to build a sports business, create an investment bank, launch a venture fund, found technology start-up companies, establish a philanthropic arm, build a business in China, and form a brand marketing services division, among other innovations. Named Most Valuable Sports Agency by Forbes for eight consecutive years, CAA represents more than 2,000 of the world's top athletes in football, baseball, basketball, hockey, soccer, in addition to coaches, on-air broadcasters, and sports personalities and works in the areas of broadcast rights, corporate marketing initiatives, social impact, and sports properties for sales and sponsorship opportunities. Founded in 1975, CAA is headquartered in Los Angeles, and has offices in New York, Nashville, Memphis, Chicago, Miami, London, Munich, Geneva, Stockholm, Shanghai, and Beijing, among other locations globally.
The Role
The AI Engineer is a member of a highly motivated CAA Tech team responsible for accelerating the creation of opportunity through the strategic use of data. In this role, you will design and build intelligent systems that transform complex information into structured knowledge and actionable insights using modern AI, machine learning, and generative approaches to solve complex business problems. You will operate across the full lifecycle, from experimentation and evaluation to deployment and optimization, developing solutions that ingest, interpret, and reason over large volumes of data. The ideal candidate combines strong software engineering fundamentals with hands on experience building applied AI systems that operate reliably in production environments and deliver measurable business impact.
Responsibilities
Development of AI Solutions
  • Design and implement end to end AI workflows for complex data interpretation, knowledge extraction, and reasoning

  • Build systems that convert unstructured content into structured representations

  • Develop and optimize retrieval approaches that combine semantic and lexical search techniques

  • Prototype, evaluate approaches, test feasibility, and productionize generative AI solutions for real world use cases

  • Partner with engineering teams to develop technology infrastructure

  • Optimize systems for latency, cost, and throughput

Evaluation, Reliability, and Quality
  • Design and implement evaluation approaches to assess performance, relevance, and effectiveness of AI solutions

  • Apply techniques to improve consistency, accuracy, and trustworthiness of outputs

  • Implement methods for scoring, explainability, and ongoing quality assurance

  • Monitor deployed solutions and data pipelines for performance, stability, and data quality over time

Data Wrangling:
  • Identify data sources that can be useful to answer business questions

  • Perform experiments on ingested data to evaluate quality and integrity

  • Build data pipelines for ongoing data extraction

Collaboration and Communication
  • Work closely with cross functional team to align data science initiatives with business priorities

  • Partner with leadership to identify and prioritize high impact opportunities for data science applications

  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Qualifications
  • Minium of 6 years building AI, Machine Learning and NLP solutions

  • Minimum 3 years building applied AI/LLM and generative systems in production environments

  • Bachelor's degree in a relevant field such Mathematics, Science, Engineering, or Computer Science. Master's Degree in relevant discipline preferred

  • Strong programming skills in Python and experience building data and AI pipelines

  • Experience with information retrieval, semantic search, or knowledge driven systems

  • Experience with relational, non relational and semantic data stores

  • Strong software engineering fundamentals (APIs, system design, testing, version control)

  • Experience with Natural Language Processing methods and applications preferred

  • Excellent analytical and problem solving skills

  • Demonstrated initiative and ownership of tasks and projects

  • Ability to prioritize, coordinate, and complete tasks to meet deadlines

  • Ability to work effectively both independently and in team environments

  • Ability to present complex problems in simple terms

Location
This role is hybrid, based in our Nashville office.
Compensation
The annual base salary for this position is in the range of $129,000 - $150,000 in Nashville. This position is also eligible for benefits and a discretionary bonus. Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in the role, business sector, and geographic location, among other criteria. Please talk with a CAA Recruiter to learn more.
Creative Artists Agency, LLC (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate on the basis of race (inclusive of traits historically associated with race, including hair texture and protective hairstyles), color, religion, creed, gender or sex (including pregnancy, childbirth, breastfeeding or related medical conditions), national origin, ancestry, age, physical disability, mental disability, medical condition, genetic information, family and medical care leave status, military or veteran status, marital status, family status, sexual orientation, gender identity, gender expression, political affiliation, an employee's or their dependent's reproductive health decision making (e.g., the decision to use or access a particular drug, device or medical service), or any other characteristic protected by applicable law.
The absence of a permanent address is not a bar to employment. The Company does not discriminate against individuals based on housing status, including the absence of a fixed address.
The Company also complies with the Americans with Disabilities Act and applicable state and local laws with regard to providing reasonable accommodation for qualified individuals with disabilities.
CAA does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by CAA to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that CAA will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.