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Temporary Test Scorer Jobs (NOW HIRING)

Aquent

AI Software Test Engineer (SDET)

Ann Arbor, MI · On-site

$42.06 - $46.73/hr

Temporary Salary: $42.06-46.73 Hourly W2 Start Date: Jul 13, 2026 Partnering with Aquent, we are ... Implement automated quality scoring and regression detection mechanisms, and create reusable test ...

V2X

... tests the equipment to make sure it works properly. Responsibilities ***This is a temporary ... Scoring and/ or run the clock as needed. * Have attention to details; time, play, score, etc.

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How much do temporary test scorer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for temporary test scorer in the United States is $17.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $17.31 per hour, depending on experience, location, and employer.

What is the typical work environment and daily workflow for a temporary test scorer?

Temporary Test Scorers generally work in a quiet, office-like environment or remotely from home, depending on the employer. The daily workflow often involves reviewing and scoring student responses according to detailed guidelines, with frequent quality checks and feedback sessions. Most scoring teams operate under tight deadlines with set productivity expectations, and shifts may be structured as part-time or full-time for the duration of the project. While collaboration with team leads or quality control staff is common, much of the work is performed independently. This environment offers a focused and structured setting, ideal for those who excel at routine tasks and value flexibility in their work schedule.

What is a temporary test scorer?

A Temporary Test Scorer evaluates and scores standardized tests, essays, or assessments based on provided guidelines and rubrics. The work is typically seasonal and project-based, often completed remotely or at designated scoring centers. Scorers must meet specific qualifications, such as holding a bachelor's degree, and complete training to ensure accuracy and consistency. This role requires attention to detail, critical thinking, and the ability to follow scoring criteria precisely.

What are the key skills and qualifications needed to thrive in the temporary test scorer position, and why are they important?

To thrive as a Temporary Test Scorer, you need strong attention to detail, reading comprehension, and the ability to apply scoring rubrics consistently, usually supported by a high school diploma or some college education. Basic proficiency with computer systems and online testing platforms is typically required, though most employers provide specific training on proprietary scoring software. Time management, reliability, and the ability to work independently or in small teams are valuable soft skills in this role. These competencies ensure scoring is accurate, fair, and executed efficiently to meet project deadlines and quality standards.

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Temporary Test Scorer jobs near you
Infographic showing various Temporary Test Scorer job openings in the United States as of August 2026, with employment types broken down into 39% Full Time, 38% Part Time, 15% Temporary, and 8% Nights. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $37,218 per year, or $17.9 per hour.

AI Software Test Engineer (SDET)

Aquent

Ann Arbor, MI • On-site

$42.06 - $46.73/hr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description

Placement Type:
Temporary
Salary:
$42.06-46.73 Hourly
W2
Start Date:
Jul 13, 2026
Partnering with Aquent, we are thrilled to represent a leading organization at the forefront of financial innovation. This institution is dedicated to building secure, reliable, and cutting-edge solutions that empower millions of users to achieve their financial goals. Join a team that is shaping the future of technology within the financial industry, driving impact through advanced engineering and a commitment to excellence.
Are you ready to dive into the exciting world of Artificial Intelligence and make a tangible impact on the next generation of intelligent systems? We are seeking a visionary and hands-on engineer to spearhead the quality assurance of groundbreaking AI-powered applications, machine learning systems, AI agents, and generative AI solutions. In this pivotal role, you will be instrumental in ensuring that our AI systems are not just innovative, but also reliable, safe, accurate, and performant, directly contributing to the trust and success of our advanced technology initiatives and the millions of users we serve.
Your Impact and the Opportunity
As a critical contributor, you will own the end-to-end testing and automation efforts for robust AI solutions. You'll collaborate closely with AI developers, architects, and product teams to guarantee production-quality AI, directly reducing regression defects, improving confidence in AI model behavior, and enabling the safe, scalable delivery of AI-powered features. This role offers significant opportunities for innovation and collaboration across diverse teams, directly shaping the reliability and success of cutting-edge AI technologies that meet stringent quality, security, and governance requirements.
  • Develop and implement comprehensive testing strategies for AI applications, platforms, and services.
  • Validate AI model outputs for accuracy, consistency, reliability, and safety, performing adversarial, negative, and edge-case testing to identify potential failures and hallucinations.
  • Design and execute functional, integration, end-to-end, regression, and performance tests specifically tailored for AI solutions.
  • Create intricate test cases for prompt-driven, agentic, and retrieval-based AI workflows, ensuring robust validation of AI guardrails, business rules, permissions, and governance controls.
  • Build and maintain advanced automated test frameworks and evaluation pipelines for AI responses and workflows, integrating AI testing seamlessly into continuous integration/continuous delivery (CI/CD) pipelines.
  • Implement automated quality scoring and regression detection mechanisms, and create reusable test data, mocks, simulators, and validation frameworks.
  • Test AI agents, workflows, APIs, complex system integrations, and tool-calling capabilities, validating integrations with external systems, data sources, and enterprise services.
  • Verify performance, reliability, scalability, and resiliency of AI workloads, including executing load and stress testing for AI services.
  • Collaborate proactively with software engineers, AI engineers, product owners, architects, and security teams, providing critical quality feedback during design reviews and development.
  • Contribute significantly to test strategy, quality standards, and best practices, and support production readiness reviews and defect triage activities.
  • Contribute to projects such as testing AI chat assistants and copilots, validating AI agent workflows, evaluating retrieval augmented generation (RAG) search quality, automating AI response evaluation frameworks, and performance testing AI services and orchestration platforms.

Must-Have Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
  • 3-6 years of experience in software testing, QA automation, or quality engineering.
  • Proven experience developing automated test solutions using Python, Java, JavaScript/TypeScript, or C#.
  • Demonstrated experience with API testing and automation tools.
  • Strong understanding of test automation principles, the Software Development Lifecycle (SDLC), Agile methodologies, and CI/CD pipelines.
  • Experience testing distributed systems, web applications, and APIs.
  • Proficiency in AI Testing concepts including Prompt Testing, Response Evaluation, Hallucination Detection, Agent Workflow Validation, RAG Validation, AI Safety Testing, AI Regression Testing, and AI Benchmarking.
  • Expertise in Quality Engineering practices such as Test Automation, API Testing, Integration Testing, Performance Testing, Load Testing, Security Testing, Defect Analysis, and Root Cause Investigation.
  • Familiarity with industry-standard tools and technologies like Selenium, Playwright, Postman, JUnit / PyTest, GitHub Actions, Jenkins, Docker, and Kubernetes.

Nice-to-Have Qualifications
  • 1-3 years of exposure to AI/ML or Generative AI technologies.
  • Experience testing Generative AI applications, large language model (LLM)-based systems, AI agents, RAG applications, or complex platform integrations.
  • Familiarity with leading AI models and platforms.
  • Experience building evaluation and benchmarking frameworks for AI solutions.
  • Experience testing cloud-native applications on major cloud platforms.
  • Knowledge of responsible AI, AI governance, and AI risk management practices, understanding how AI initiatives align with enterprise governance, risk, privacy, and compliance requirements.

About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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