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Ai Interview Tester Jobs (NOW HIRING)

Evaluate and refine problems through testing loops against state-of-the-art AI models . * Create ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Conduct model testing and grading, evaluating outputs for accuracy and clarity. * Provide ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

We actively monitor for synthetic profiles, proxy networks, and AI interview assistants; any ... Conduct system integration, field deployment, testing, and support of products and services

$112K - $146K/yr

We actively monitor for synthetic profiles, proxy networks, and AI interview assistants; any ... Experience testing and troubleshooting RF circuitry and shielding * Experience in electronics and ...

$109K - $144K/yr

We actively monitor for synthetic profiles, proxy networks, and AI interview assistants; any ... Troubleshoot hardware issues during prototype builds and field testing, and field support

Conduct model testing and grading to assess outputs for accuracy and fluency. * Provide structured ... Complete a short AI-led interview (approximately 15 minutes). * If selected, you will be onboarded ...

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Ai Interview Tester information

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$10

$38

$62

How much do ai interview tester jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for ai interview tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

What is the 80 20 rule for interviews?

The 80/20 rule in interviews suggests that 80% of the value comes from 20% of the questions or efforts, meaning candidates should focus on highlighting their most relevant skills and experiences. For an AI interview tester, preparing to demonstrate key technical skills and problem-solving abilities efficiently is essential. This approach helps interviewers quickly assess core competencies and fit for the role.

Can I do a mock interview with AI?

Yes, AI interview testers or platforms often offer simulated interview sessions to help candidates practice their responses and improve their interview skills. These tools typically use natural language processing to evaluate answers and provide feedback, making them useful for job seekers preparing for real interviews.

How to pass an AI screening interview?

To pass an AI screening interview for an AI Interview Tester role, ensure your resume highlights relevant skills such as programming, data analysis, and understanding of AI concepts. Prepare to demonstrate problem-solving abilities and familiarity with testing tools or frameworks, as AI screening often assesses technical knowledge through automated assessments or online tests. Clear communication and attention to detail are also important, as AI systems evaluate your responses for accuracy and consistency.

Is an AI interview legit?

AI interview testing is a legitimate process used by some companies to evaluate candidates through automated assessments or video analysis tools. These methods are often part of the hiring process for roles involving technology, data analysis, or AI-related skills, and they can include online tests, video recordings, or AI-driven interview platforms.

What is the difference between Ai Interview Tester vs Data Analyst?

AspectAi Interview TesterData Analyst
Required CredentialsTypically certifications in AI, machine learning, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentTech companies, AI development labs, or HR tech platformsBusiness, finance, healthcare, or tech industries in office or remote settings
Employer & Industry UsageUsed by companies developing AI interview platforms or HR tech solutionsUsed across various industries for data-driven decision making

While both roles involve working with data and technology, Ai Interview Testers focus on evaluating AI systems for interview processes, whereas Data Analysts interpret data to inform business decisions. The roles share some technical skills but differ in their primary focus and industry applications.

More about Ai Interview Tester jobs
What cities are hiring for Ai Interview Tester jobs? Cities with the most Ai Interview Tester job openings:
What states have the most Ai Interview Tester jobs? States with the most job openings for Ai Interview Tester jobs include:
Infographic showing various Ai Interview Tester job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.
Particle Physics Expert - Computational Specialist

Particle Physics Expert - Computational Specialist

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 21 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Particle & Nuclear Physics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in Particle & Nuclear Physics.
  • Develop problems requiring skilled use of scikit-hep and related HEP Python tools for data analysis and simulations.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on problem-solving strategies that involve strategic planning and efficient data interpretation.
  • Work independently to refine problem designs based on feedback and testing outcomes.
  • Utilize Linux/terminal environments and remote compute sandboxes effectively.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proficiency with at least one scientific software library, demonstrated through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine designs based on feedback.
  • Comfortable in a Linux/terminal environment.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.