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Overnight Artificial Intelligence Testing Jobs (NOW HIRING)

Artificial Intelligence (AI) Lead Tester

$48.50 - $66.25/hr

GXM Technologies is seeking an Artificial Intelligence (AI) Lead Tester to provide both hands-on ... This role requires both AI technical testing proficiency and automation experience. This position ...

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Overnight Artificial Intelligence Testing information

What is overnight artificial intelligence testing?

Overnight artificial intelligence testing refers to the process of running and evaluating AI models or software systems during nighttime hours, typically when regular operations are minimal. This allows for extensive automated tests, stress checks, and data processing without disrupting daytime business activities. Testers monitor results, identify errors or performance issues, and ensure the AI systems are functioning as intended before the next business day. This role often requires knowledge of both software testing practices and AI technologies.

What is the 10 20 70 rule for AI?

The 10 20 70 rule in AI refers to a guideline for training models, suggesting that 10% of data should be high-quality labeled data, 20% should be semi-labeled or annotated data, and 70% should be unlabeled data used for unsupervised learning. For AI testing roles, understanding data distribution and quality is essential to ensure accurate model evaluation and validation.

How much do AI testers get paid?

AI testers typically earn between $50,000 and $100,000 annually, depending on experience, location, and the complexity of the testing environment. Entry-level positions may start lower, while experienced testers with skills in machine learning and automation tools can earn higher salaries.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced degrees, extensive experience, and expertise in AI tools and algorithms. These roles usually involve strategic decision-making, leadership, and innovation in AI development within large organizations or tech companies.

Which 3 jobs will survive AI?

In the context of overnight artificial intelligence testing, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Roles such as AI ethics specialists, creative designers, and human-centered customer service representatives are less susceptible to automation due to their reliance on human judgment and nuanced understanding. These positions often involve skills that are difficult for AI to replicate fully.

What is the difference between Overnight Artificial Intelligence Testing vs Data Scientist?

AspectOvernight Artificial Intelligence TestingData Scientist
CredentialsTypically requires knowledge of AI tools, programming, and testing protocolsRequires degrees in data science, statistics, or related fields, often with certifications
Work EnvironmentPrimarily in labs or testing facilities, often overnight shiftsOffice or remote, with data analysis and modeling tasks
Industry UsageUsed in AI development, quality assurance, and validation processesApplied in data analysis, predictive modeling, and business insights

Overnight Artificial Intelligence Testing focuses on evaluating AI systems during overnight shifts, emphasizing testing protocols and quality assurance. Data Scientists analyze data, build models, and generate insights. While both roles involve technical skills, AI Testing is more specialized in validation processes, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as an Overnight Artificial Intelligence Tester, and why are they important?

To thrive as an Overnight Artificial Intelligence Tester, you need a solid understanding of AI concepts, software testing methodologies, and familiarity with programming languages like Python, typically supported by a degree in computer science or related field. Experience with test automation tools, version control systems (like Git), and bug tracking platforms is commonly required. Strong attention to detail, problem-solving abilities, and effective written communication are crucial soft skills for identifying issues and documenting test results. These skills ensure accurate, efficient, and reliable testing of AI systems during overnight shifts, maintaining product quality and meeting development timelines.

What are the typical challenges faced in an Overnight Artificial Intelligence Testing role, and how can they be managed?

Professionals working in Overnight Artificial Intelligence Testing often encounter challenges such as maintaining high attention to detail during late hours, managing unexpected system behaviors, and coordinating with day-shift teams for seamless issue resolution. To manage these challenges, it's important to establish clear communication protocols for handoffs, utilize monitoring tools to catch anomalies early, and follow structured testing procedures. Staying organized and taking scheduled breaks can also help maintain focus and productivity during overnight shifts.
What cities are hiring for Overnight Artificial Intelligence Testing jobs? Cities with the most Overnight Artificial Intelligence Testing job openings:
What are the most commonly searched types of Artificial Intelligence Testing jobs? The most popular types of Artificial Intelligence Testing jobs are:
What states have the most Overnight Artificial Intelligence Testing jobs? States with the most job openings for Overnight Artificial Intelligence Testing jobs include:
Chemist - Artificial Intelligence

Chemist - Artificial Intelligence

ChampionX

Sugar Land, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago


ChampionX rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Disclaimer: SLB completed the acquisition of ChampionX on July 16, 2025. If selected for this position, your employment will begin with ChampionX and will transition to SLB as part of the planned integration.

We are looking for a highly motivated Chemist in our Chemical Artificial Intelligence group located in Sugar Land, Texas. The Chemist will support and validate our digital chemistry work, including AI/ML outputs, simulation results, and basic product selection. The role includes executing core chemistry analytical and performance tests (EB. CI and other main product lines), generating high-quality data, and independently learning and operating new lab equipment to support continuous improvement of our models and recommendations.

If you are a passionate professional that likes to work in an autonomous, hands-on environment, we invite you to apply. This is your opportunity to join a growing company offering a competitive base salary and benefits.

What's in it For You:

  • The ability to make an impact and shape your career with a company that is passionate about growth.

  • The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best.

  • Thrive in a company that values sustainability, drives a safety-focused culture and has been recognized as one of the most ethical companies in the world.

  • Comprehensive benefits package starting day 1 of employment- medical, dental, vision, matching 401k, and more!

What You Will Do:

  • Validate AI/ML and simulation recommendations using lab testing and chemistry judgment

  • Support basic product screening/selection and benchmark comparisons for defined use cases

  • Perform routine chemistry analytical tests and standard lab evaluations; ensure strong data quality and repeatability

  • Learn and operate new laboratory equipment independently; follow or develop standard operating procedures as needed

  • Summarize results clearly and enter/upload data into the designated user interface, following required protocols for formatting and good data quality

  • Collaborate with research, digital, and field teams to translate results into the required data format

Minimum Qualifications:

  • BS degree in in Chemistry, Chemical Engineering, Materials Engineering or related fields with 3+ years of relevant experience, or MSc degree with 1+ year of experience

  • Demonstrated experience in a laboratory environment and ability to set up and operate special equipment following manufacturer's instructions

  • Exhibit high attention to detail and quality service

  • Strong oral and written communication skills

  • Basic understanding of customers needs

  • Strong problem solving-skills

  • Proficient in Microsoft Office applications

Preferred Qualifications:

  • Experience with AI/ML simulations

  • Product formulation/development experience

Physical Demands:

  • Role is deemed safety-sensitive and may be subject to employer or customer drug testing

  • Must be able to lift up to 30 pounds

About Us:

ChampionX is now part of SLB, a global technology company driving energy innovation for a balanced planet. As innovators, that's been our mission for nearly a century. We are a technology company that unlocks access to energy for the benefit of all. As innovators, that's been our mission for nearly a century. Today, we face a global imperative to create a future with more energy, but less carbon. Our diverse, innovative change makers are focused on going further in innovation and inventing the new energy technologies we need to get there.

For more news and information, visit SLB.com. Follow us on Facebook at @WeAreSLBGlobal, LinkedIn: SLBGlobal, or Instagram at @SLBGlobal.

Our Commitment to Diversity and Inclusion

We believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every employee can grow and achieve their best. We are committed to fair and equal treatment of employees and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any employee or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran.


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