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Generative Ai Testing Jobs in Riverside, NJ (NOW HIRING)

... generative AI capabilities, and decision intelligence tools. * Oversee all stages of the AI development lifecycle, including model design, testing, deployment, monitoring, retraining, and performance ...

Lead AI Platform Engineer

Blue Bell, PA ยท On-site

$97K - $129K/yr

... generative AI technologies. You'll be responsible for developing and optimizing our AI platform ... Design and execute experiments to optimize agent performance, including A/B testing of different ...

Lead AI Platform Engineer

Blue Bell, PA ยท On-site

$97K - $129K/yr

... generative AI technologies. You'll be responsible for developing and optimizing our AI platform ... Design and execute experiments to optimize agent performance, including A/B testing of different ...

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 ...

Senior Financial Data Engineer

Malvern, PA ยท On-site

$104K - $141K/yr

Lead the onboarding of new data products for research and hypotheses testing requiring large scale ... into Generative AI tools * Stay current on latest innovation in application of AI in financial ...

Senior Financial Data Engineer

Malvern, PA ยท On-site

$104K - $141K/yr

Lead the onboarding of new data products for research and hypotheses testing requiring large scale ... into Generative AI tools * Stay current on latest innovation in application of AI in financial ...

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Generative Ai Testing information

See Riverside, NJ salary details

$32

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$77

How much do generative ai testing jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for generative ai testing in Riverside, NJ is $54.26, according to ZipRecruiter salary data. Most workers in this role earn between $44.66 and $62.16 per hour, depending on experience, location, and employer.

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.

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 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 cities near Riverside, NJ are hiring for Generative Ai Testing jobs? Cities near Riverside, NJ with the most Generative Ai Testing job openings:
Sr. Director, AI

Sr. Director, AI

Syner-G

Philadelphia, PA โ€ข On-site

Full-time

PTO

Posted 3 days ago


Job description

COMPANY DESCRIPTION:

A career here is life-enhancing.

At Syner-G, we enable our people to build careers that impact positively on their quality of life. Through our expertise, insight, consulting and management skills, we accelerate breakthrough science and delivery of life-enhancing therapies to more patients. We work across a diverse range of clients and projects, supporting many organizations from the most critical phases of the drug discovery and approval process through to commercialization. It is meaningful, varied and thought-provoking work with a strategic emphasis, a solutions-driven approach and significant, real-world outcomes, from science to delivery/success. To learn more about who we are and what drives us, watch our company video here.

Underpinning this mission is a culture that aligns perfectly with what we want to achieve. We enable our people to grow, we support them in their learning and we reward them in so many different ways. In return, they play an instrumental role in maintaining our reputation across the globe as a strategic biopharma product development and delivery partner.

Syner-G was recently honored with BioSpace's prestigious "Best Places to Work" 2026 award, for the third consecutive year, along with many other award-winning programs to make a career here truly life-enhancing. These recognitions are a testament to our commitment to fostering a positive and engaging work environment for our employees, with a particular emphasis on culture, career growth and development opportunities, financial rewards, leadership and innovation.

At Syner-G, we recognize that our team members are our most valuable asset. Join us in shaping the future, where your talents are valued, and your contributions make a meaningful impact.

For more information, visit www.Synergbiopharma.com

POSITION OVERVIEW:
As the Sr. Director/Vice President, Artificial Intelligence, you will lead the strategic development and enterprise-wide adoption of AI capabilities that support organizational transformation. Your role involves defining the AI vision, building a scalable roadmap, and driving execution across multiple business units. You will partner with Technology, Operations, Product, and executive leadership to identify high-value use cases, develop AI solutions, and integrate them into core business processes to deliver measurable results. This position requires a high level of autonomy, technical expertise, and strategic leadership, including assessing business needs, ensuring data readiness, designing and deploying models, overseeing MLOps practices, and implementing responsible AI principles. Your experience in AI, machine learning, data strategy, communication, stakeholder alignment, and solution delivery will be essential in enabling the organization's transformation goals.

JOB FUNCTIONS:

(This list is not exhaustive and may be supplemented or changed as necessary.)

  • Lead the strategic planning, development, and execution of the company's AI roadmap and long-term innovation strategy.
  • Identify, evaluate, and prioritize AI and machine learning opportunities that improve operations, automation, and business value.
  • Apply structured methodologies to assess use case feasibility, technical readiness, adoption requirements, and expected ROI.
  • Partner with Data Engineering and Technology teams to build and deploy scalable AI models, generative AI capabilities, and decision intelligence tools.
  • Oversee all stages of the AI development lifecycle, including model design, testing, deployment, monitoring, retraining, and performance optimization.
  • Develop and manage responsible AI frameworks that address transparency, risk, ethics, compliance, and governance.
  • Conduct impact analyses and assess organizational readiness to adopt AI-driven processes and technologies.
  • Create and deliver communication strategies to support AI adoption for leaders, teams, and stakeholders.
  • Collaborate with business units to map workflows, redesign processes, and integrate AI-driven solutions into operations.
  • Lead the design and implementation of training programs that support end-user adoption of AI tools.
  • Build, develop, and mentor a high-performing AI organization across data science, machine learning, and applied AI disciplines.
  • Partner with external technology providers, vendors, academic institutions, and research organizations to evaluate emerging AI technologies.
  • Create metrics and dashboards to measure activation, performance, and business impact of AI solutions.
  • Lead continuous improvement efforts through data analysis, root cause assessment, and iterative solution updates.
  • Communicate complex technical concepts and model insights to executive leadership in clear, accessible language.
  • Manage AI program budgets, resources, vendor contracts, and reporting requirements.

QUALIFICATIONS AND REQUIREMENTS:

Education:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field required.
    Advanced degree preferred.

Technical Experience:

  • 12 to 15 or more years of experience in AI, machine learning, data science, or advanced analytics.
  • Demonstrated experience building and deploying machine learning models and generative AI systems in production environments.
  • Deep understanding of modern AI techniques including large language models, natural language processing, deep learning, predictive modeling, and reinforcement learning.
  • Experience implementing MLOps pipelines, model governance, and scalable AI systems in cloud environments such as Azure, AWS, or Google Cloud.
  • Experience leading organization-wide AI or data transformation initiatives.
  • Experience managing cross-functional teams and external partners or vendors.

Knowledge, Skills, and Abilities:

  • Ability to define AI strategy, scope work, estimate effort, and drive execution.
  • Ability to explain technical concepts to non-technical audiences and communicate with executives.
  • Strong knowledge of AI ethics, responsible AI practices, and regulatory considerations.
  • Ability to lead teams, influence stakeholders, and guide cross-functional efforts toward a shared vision.
  • Strong analytical and problem-solving skills with the ability to interpret complex data and model results.
  • Ability to manage multiple priorities in dynamic and fast-paced environments.
  • Forward-thinking mindset with a focus on innovation and continuous learning.
  • Strong presentation skills and experience delivering training or communication materials.
  • Must be legally authorized to work in the United States without employer sponsorship now or in the future.

ESSENTIAL FUNCTIONS:

Physical Demands:

The physical demands described here are representative of the requirements that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to use a computer keyboard and mouse; reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment.

TOTAL REWARDS PROGRAM:

We define total rewards as compensation, benefits, remote work/flexibility, development, recognition and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work "almost anywhere". However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India.
LEGAL STATEMENT:

Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employers. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer.