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How much do internship test monitor jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship test monitor in Edison, NJ is $16.09, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $18.17 per hour, depending on experience, location, and employer.

What is an internship test monitor?

Internship Test Monitors are individuals responsible for overseeing exams or assessments conducted as part of an internship program. Their primary duties include ensuring that test protocols are followed, maintaining a secure testing environment, verifying the identity of test-takers, and preventing cheating or misconduct. They may also handle administrative tasks such as distributing and collecting exam materials, reporting incidents, and assisting with technical issues. This role is essential for maintaining the integrity and fairness of the internship evaluation process.

What does an internship test monitor do?

A typical day for an Internship Test Monitor involves preparing testing rooms, ensuring all materials and equipment are set up according to standardized procedures, and closely monitoring students during exams to maintain test integrity. Test Monitors often interact with both students and staff, answering procedural questions, addressing any issues that arise during testing, and reporting irregularities to supervisors. This role requires attention to detail, effective communication, and the ability to remain calm under pressure, as Monitors play a key part in creating a fair and distraction-free testing environment.

What skills and qualifications are needed to thrive as an internship test monitor?

To thrive as an Internship Test Monitor, you typically need attention to detail, organizational skills, and at least a high school diploma or equivalent. Familiarity with test administration software, secure browser systems, and basic troubleshooting is often required. Reliability, clear communication, and professionalism are important soft skills for managing test environments and interacting with examinees. These competencies ensure exam integrity, smooth operations, and a fair testing experience for all participants.

What is the difference between Internship Test Monitor vs Internship Test Coordinator?

AspectInternship Test MonitorInternship Test Coordinator
CredentialsHigh school diploma or equivalent; basic understanding of testing proceduresSimilar credentials; often requires additional organizational skills
Work EnvironmentTesting centers, educational institutions, or corporate testing sitesOversees testing operations, often in educational or corporate settings
Employer & Industry UsageUsed in educational institutions and testing agenciesCommon in educational institutions and organizations managing testing programs
Search & Comparison IntentPeople comparing roles related to test supervision during internshipsIndividuals seeking roles involving coordination of testing activities

The main difference is that an Internship Test Monitor primarily supervises and ensures the smooth running of tests, while an Internship Test Coordinator manages the overall testing process, including planning and logistics. Both roles require similar credentials and are used in educational and testing environments, but the coordinator role involves more organizational responsibilities.

Internship Test Monitor jobs near you

Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies

Job description

Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10051426
Description & Requirements
Bloomberg's Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you'll apply mathematics, statistics, machine learning and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets, and you will move Bloomberg's business forward by assessing, improving, and implementing modern asset pricing models.
We are looking for people who are naturally curious, take ownership, are relentless problem solvers, and have the desire to continuously innovate, learn, and grow within the field of Fixed Income and Credit pricing.
You'll have the opportunity to:
  • Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
  • Conceptualize pricing methodologies, develop and continuously improve mathematical and data-driven models, all while translating algorithms into code.
  • Increase your competency of technical skills as you work on models as research projects, from idea to productionization.
  • Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
  • Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.

You'll need to have:
  • Ph.D. in the fields of Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning or a similar field from a top tier institution.
  • 3+ years of proven experience on Fixed Income valuation within the buy or sell side. A track record designing, building, evaluating, and maintaining statistical and/or Machine Learning solutions in production is a plus.
  • Experience working with, analyzing and extracting patterns and insights from medium size and large datasets is a must.
  • Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, pattern recognition, etc.
  • Strong practical computing skills to support the delivery of statistical and ML models. Experience with object oriented languages is a plus.
  • A creative, rigorous approach to developing and testing novel methods and technologies.
  • A track record of authoring publications in top conferences and journals is a strong plus.

We offer you:
  • A flat structure and very collaborative environment of like-minded individuals with strong passion for solving technically challenging problems in an open communication environment.
  • State of the art tech stack to support your day-to-day activities.
  • Tangible growth in skills and impact through the cross-collaboration between AI, Product and technology teams in an open and transparent manner.
  • The ability to work in financial asset pricing in a supportive environment with work-life balance and a casual office environment.

Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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