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Overnight Ai Validation Jobs (NOW HIRING)

Etched

Applied AI Engineer, Silicon Engineering

San Jose, CA · On-site

$150K - $275K/yr

... validation - and build the agents and tooling that multiply their output. You'll wire LLM agents ... Build an agent that triages overnight regression failures, clusters them by root cause, and drafts ...

Etched

Applied AI Engineer, Silicon Engineering

San Jose, CA · On-site

$150K - $275K/yr

... validation -- and build the agents and tooling that multiply their output. You'll wire LLM agents ... Build an agent that triages overnight regression failures, clusters them by root cause, and drafts ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

... generative AI techniques. Our team has delivered impactful features including heart rate ... and overnight vitals to millions of Apple Watch users. Description This role is ideal for an ...

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How much do overnight ai validation jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for overnight ai validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For an Overnight AI Validation role, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to persist, such as healthcare professionals, skilled tradespeople, and roles in education. These jobs involve tasks that are difficult for AI to fully replicate and often require human judgment and interpersonal skills.

What is the salary of AI data validator?

The salary of an AI data validator typically ranges from $40,000 to $70,000 annually, depending on experience, location, and the employer. Entry-level positions may start lower, while experienced validators with specialized skills can earn higher wages. The role often requires attention to detail and familiarity with data annotation tools or AI training processes.

What is the 30% rule for AI?

The 30% rule in AI validation refers to the guideline that no more than 30% of the data used for training should be included in the validation set to prevent overfitting and ensure accurate model performance assessment. For an Overnight AI Validation role, understanding data partitioning and validation techniques is essential to maintain model integrity and reliability.

What is the difference between Overnight Ai Validation vs Data Analyst?

AspectOvernight Ai ValidationData Analyst
Required CredentialsTypically requires AI/ML certifications, data validation trainingUsually requires a degree in data science, statistics, or related fields
Work EnvironmentPrimarily in tech companies, AI development teams, or data validation firmsIn various industries including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed by AI companies, tech startups, and organizations deploying AI modelsWidely used across industries for data analysis, reporting, and decision-making

Overnight Ai Validation focuses on verifying and validating AI models, often requiring specialized certifications and working within tech environments. Data Analysts analyze data sets to generate insights, typically with a broader industry application. While both roles involve data, their core functions and skill sets differ significantly.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, often involving senior roles such as AI research director, machine learning engineer, or AI product executive. These roles usually require advanced skills in data science, programming, and experience with AI tools and frameworks, and may involve leadership responsibilities or specialized expertise. Compensation at this level reflects significant experience, impact, and sometimes equity or bonuses.
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Overnight Ai Validation jobs near you
Infographic showing various Overnight Ai Validation job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.
Hardware & Silicon Validation Engineer - Early Career

Hardware & Silicon Validation Engineer - Early Career

Marvell Technology

Westlake Village, CA • On-site

$129K - $170K/yr

Full-time

Life, Retirement

Re-posted 3 days ago

Job description

About Marvell
Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
As a hardware and silicon validation engineer at Marvell, you'll be helping to deliver high bandwidth over long distances. This team performs analog validations on amplifiers that drive optical electronic devices and receivers. We also validate silicon photonics, do upper electronic measurements and support the coherent digital signal programming unit. This is a niche area at Marvell, working with cutting edge technologies used by many internal and external customers around the world.
What You Can Expect
In this on-site role in our Westlake Village, CA office, you'll start each day by reviewing the data you pulled overnight and seeing how it measures up against your expectations. If everything looks good, you write a summary report before reviewing data with your manager and then setting up for different test benches to test different parameters. Setting up properly calibrated equipment can take two to three days, all for a measurement that takes 10 seconds. If testing goes as anticipated, you'll start involving other functions and moving forward on the tape out process.
If your overnight data did not perform as expected, you begin debugging on your own or get help from your mentor or someone on your team of about eight people. If that doesn't work, you go back to the designer and iterate with them until a solution is devised.
We use precision network analyzers, lightweight component analyzers, probe stations and microwave transistor amplifiers to perform our validations. We use both Windows and Unix systems, Cadence for design, Python, C, and PowerPoint for presentations. We meet as a team once a week and you'll have to show your work to your colleagues. Sometimes you'll present to other teams as well.
What We're Looking For
To succeed in this role, you must:
  • Have a Master's degree in Electrical Engineering, Computer Engineering, or a similar field of study.
  • Have 0-3 years professional work experience.
  • Be familiar with Python and C.
  • Have taken some specialized coursework in microwave or optical engineering for communications.
  • Understand the principles involved in single photonic devices.
  • Be extremely detail oriented and constantly willing to learn new things.
  • Work well on a team and be ready to help and learn from others when needed.

Expected Base Pay Range (USD)
92,800 - 137,310, $ per annum
The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.
Interview Integrity
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
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