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Internship Ai Rating Jobs (NOW HIRING)

The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in ... Push state of the art on multivariate forecasting to predict sleep stages, heart rate, HRV, and ...

The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in ... Push state of the art on multivariate forecasting to predict sleep stages, heart rate, HRV, and ...

Our Apprenticely Internship Program is a three-month program that places selected candidates with ... Please consult your carrier for further information on applicable rates and fees. Carriers are not ...

Our Apprenticely Internship Program is a three-month program that places selected candidates with ... Please consult your carrier for further information on applicable rates and fees. Carriers are not ...

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How much do internship ai rating jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship ai rating in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship AI Rating?

Internship AI Rating positions are roles where interns evaluate, test, and provide feedback on AI models or systems. These interns may assess the quality, accuracy, and fairness of AI outputs, often working with teams to improve machine learning algorithms. The position provides hands-on experience in understanding how AI technologies are developed and refined, making it valuable for students interested in artificial intelligence and data science careers. Duties can include annotating data, running experiments, and analyzing AI performance metrics. These internships help organizations ensure their AI products meet high standards while offering learning opportunities to aspiring professionals.

What types of projects can I expect to work on during an AI Rating internship, and how are tasks typically assigned?

As an AI Rating intern, you can expect to work on tasks such as evaluating machine learning models, annotating datasets, and providing feedback on AI system outputs. Projects often involve collaborating with data scientists, engineers, and other interns to improve the accuracy and fairness of AI algorithms. Tasks are usually assigned based on project needs and your area of study, with regular check-ins and guidance from a supervisor. This hands-on experience offers valuable exposure to real-world AI evaluation processes and fosters teamwork and communication skills.

What are the key skills and qualifications needed to thrive as an AI Rating intern, and why are they important?

To thrive as an AI Rating Intern, you generally need analytical thinking, attention to detail, and a basic understanding of AI concepts, often supported by ongoing studies in computer science or related fields. Familiarity with data annotation tools, AI evaluation platforms, and proficiency in Excel or Python are typically expected. Strong communication, critical reasoning, and the ability to provide objective feedback make candidates stand out in this position. These skills are crucial for ensuring high-quality data labeling and assessment, which directly impacts the performance and reliability of AI systems.
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Infographic showing various Internship Ai Rating job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

AI/ML Research Internship

Eight Sleep

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 17 days ago


Job description

Join the Sleep Fitness Movement
At Eight Sleep, we're on a mission to fuel human potential through optimal sleep. As the world's first sleep fitness company, we're redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's "Best Inventions of the Year." We operate like a high-performance team: fast, focused, and motivated by impact. We don't just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger.
Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn't passive - it's a powerful tool for living better. If you're tired of the ordinary and driven to build at the edge of what's possible, this is your moment. Join us and lead the movement that's transforming how the world sleeps and what we're all capable of when we wake up.
High Standards. No Apologies.
We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world's top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant's mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn't a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week -not because we're told to, but because we're invested. We're here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you'll feel right at home. If you're looking for something easier - this isn't it.
The Role
Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You'll work closely with a cross-functional team to scope problems, build end-to-end prototypes, validate with data, and iterate toward something we can ship. Along the way, you'll receive hands-on mentorship, sharpen your technical toolkit, and present your results to leadership. Where appropriate, you may also develop your work into a publication.
We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If you're excited to learn fast, collaborate deeply, and deliver meaningful improvements for users, we'd love to work with you.
What You'll Help Build
Example topics include:
  • Multimodal Activity Understanding: Build and fine-tune a vision- and physiology- foundation model that detects daily activities (workouts, meals, naps) from wearables, Pod signals, and phone context to explain sleep trends.
  • Next-Gen Time-Series Forecasting for Sleep: Push state of the art on multivariate forecasting to predict sleep stages, heart rate, HRV, and recovery days ahead - robust to missing data and lifestyle shifts.
  • Lifestyle-to-Sleep Simulation ("Digital Twin"): Create a high-fidelity simulator that models how choices (caffeine, exercise timing, alcohol, travel) ripple into tonight's sleep and tomorrow's readiness.
  • Adaptive Pod Thermoregulation: Learn personalized cooling/heating policies that react to micro-events (restlessness, awakenings) in real time - balancing comfort, sleep continuity, and energy.
  • Privacy-Preserving Personalization: Train better models without centralizing raw data: federated fine-tuning with differential privacy for sleep staging, anomaly detection, and forecasting.

What You'll Need to Succeed
  • Minimum Qualifications
    • Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent. Doctoral degree paths are preferred for research focused internships.
  • Preferred Qualifications
    • It's helpful if you meet one or more of the following qualifications, but it isn't a requirement
    • Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java
    • Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn
    • Practical knowledge related to building and adapting algorithms for machine learning, time series analysis, multimodal sensing, foundation model fine-tuning, reinforcement learning and related areas
    • Familiarity with crafting, prototyping, and evaluating interactive systems
    • Excellent mathematical skills in linear algebra and statistics
    • Ability to collaborate with others
    • Problem solving skills
    • Applied ML Engineering internships: Experience with integrating research prototypes into production applications. Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies. Experience crafting, conducting, analyzing, and interpreting experiments and investigations
    • Demonstrated expertise with proven publication or track record in at least one of the areas: machine learning, statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision theory
    • Research-Focused internships: Currently pursuing a doctoral degree. Research experience in Machine Learning and a demonstrable record of publishing academic research in peer-reviewed venues

Why join Eight Sleep?
Innovation in a culture of excellence
Join us in a workplace where innovation isn't just encouraged - it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness.
Immediate responsibility and accelerated career growth
From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards.
Collaboration with exceptional talent
Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment.
Equitable compensation and continuous equity investment
We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you - perfectly aligning your achievements with the broader triumphs of the company.
Your own Pod - and other great benefits
Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with:
  • Full access to health, vision, and dental insurance for you and your dependents
  • Supplemental life insurance
  • Flexible PTO
  • Commuter benefits to ease your daily commute
  • Paid parental leave

At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.